presentation on research methods

Princeton Correspondents on Undergraduate Research

How to Make a Successful Research Presentation

Turning a research paper into a visual presentation is difficult; there are pitfalls, and navigating the path to a brief, informative presentation takes time and practice. As a TA for  GEO/WRI 201: Methods in Data Analysis & Scientific Writing this past fall, I saw how this process works from an instructor’s standpoint. I’ve presented my own research before, but helping others present theirs taught me a bit more about the process. Here are some tips I learned that may help you with your next research presentation:

More is more

In general, your presentation will always benefit from more practice, more feedback, and more revision. By practicing in front of friends, you can get comfortable with presenting your work while receiving feedback. It is hard to know how to revise your presentation if you never practice. If you are presenting to a general audience, getting feedback from someone outside of your discipline is crucial. Terms and ideas that seem intuitive to you may be completely foreign to someone else, and your well-crafted presentation could fall flat.

Less is more

Limit the scope of your presentation, the number of slides, and the text on each slide. In my experience, text works well for organizing slides, orienting the audience to key terms, and annotating important figures–not for explaining complex ideas. Having fewer slides is usually better as well. In general, about one slide per minute of presentation is an appropriate budget. Too many slides is usually a sign that your topic is too broad.

presentation on research methods

Limit the scope of your presentation

Don’t present your paper. Presentations are usually around 10 min long. You will not have time to explain all of the research you did in a semester (or a year!) in such a short span of time. Instead, focus on the highlight(s). Identify a single compelling research question which your work addressed, and craft a succinct but complete narrative around it.

You will not have time to explain all of the research you did. Instead, focus on the highlights. Identify a single compelling research question which your work addressed, and craft a succinct but complete narrative around it.

Craft a compelling research narrative

After identifying the focused research question, walk your audience through your research as if it were a story. Presentations with strong narrative arcs are clear, captivating, and compelling.

  • Introduction (exposition — rising action)

Orient the audience and draw them in by demonstrating the relevance and importance of your research story with strong global motive. Provide them with the necessary vocabulary and background knowledge to understand the plot of your story. Introduce the key studies (characters) relevant in your story and build tension and conflict with scholarly and data motive. By the end of your introduction, your audience should clearly understand your research question and be dying to know how you resolve the tension built through motive.

presentation on research methods

  • Methods (rising action)

The methods section should transition smoothly and logically from the introduction. Beware of presenting your methods in a boring, arc-killing, ‘this is what I did.’ Focus on the details that set your story apart from the stories other people have already told. Keep the audience interested by clearly motivating your decisions based on your original research question or the tension built in your introduction.

  • Results (climax)

Less is usually more here. Only present results which are clearly related to the focused research question you are presenting. Make sure you explain the results clearly so that your audience understands what your research found. This is the peak of tension in your narrative arc, so don’t undercut it by quickly clicking through to your discussion.

  • Discussion (falling action)

By now your audience should be dying for a satisfying resolution. Here is where you contextualize your results and begin resolving the tension between past research. Be thorough. If you have too many conflicts left unresolved, or you don’t have enough time to present all of the resolutions, you probably need to further narrow the scope of your presentation.

  • Conclusion (denouement)

Return back to your initial research question and motive, resolving any final conflicts and tying up loose ends. Leave the audience with a clear resolution of your focus research question, and use unresolved tension to set up potential sequels (i.e. further research).

Use your medium to enhance the narrative

Visual presentations should be dominated by clear, intentional graphics. Subtle animation in key moments (usually during the results or discussion) can add drama to the narrative arc and make conflict resolutions more satisfying. You are narrating a story written in images, videos, cartoons, and graphs. While your paper is mostly text, with graphics to highlight crucial points, your slides should be the opposite. Adapting to the new medium may require you to create or acquire far more graphics than you included in your paper, but it is necessary to create an engaging presentation.

The most important thing you can do for your presentation is to practice and revise. Bother your friends, your roommates, TAs–anybody who will sit down and listen to your work. Beyond that, think about presentations you have found compelling and try to incorporate some of those elements into your own. Remember you want your work to be comprehensible; you aren’t creating experts in 10 minutes. Above all, try to stay passionate about what you did and why. You put the time in, so show your audience that it’s worth it.

For more insight into research presentations, check out these past PCUR posts written by Emma and Ellie .

— Alec Getraer, Natural Sciences Correspondent

Share this:

  • Share on Tumblr

presentation on research methods

Home Blog Presentation Ideas How to Create and Deliver a Research Presentation

How to Create and Deliver a Research Presentation

Cover for Research Presentation Guide

Every research endeavor ends up with the communication of its findings. Graduate-level research culminates in a thesis defense , while many academic and scientific disciplines are published in peer-reviewed journals. In a business context, PowerPoint research presentation is the default format for reporting the findings to stakeholders.

Condensing months of work into a few slides can prove to be challenging. It requires particular skills to create and deliver a research presentation that promotes informed decisions and drives long-term projects forward.

Table of Contents

What is a Research Presentation

Key slides for creating a research presentation, tips when delivering a research presentation, how to present sources in a research presentation, recommended templates to create a research presentation.

A research presentation is the communication of research findings, typically delivered to an audience of peers, colleagues, students, or professionals. In the academe, it is meant to showcase the importance of the research paper , state the findings and the analysis of those findings, and seek feedback that could further the research.

The presentation of research becomes even more critical in the business world as the insights derived from it are the basis of strategic decisions of organizations. Information from this type of report can aid companies in maximizing the sales and profit of their business. Major projects such as research and development (R&D) in a new field, the launch of a new product or service, or even corporate social responsibility (CSR) initiatives will require the presentation of research findings to prove their feasibility.

Market research and technical research are examples of business-type research presentations you will commonly encounter.

In this article, we’ve compiled all the essential tips, including some examples and templates, to get you started with creating and delivering a stellar research presentation tailored specifically for the business context.

Various research suggests that the average attention span of adults during presentations is around 20 minutes, with a notable drop in an engagement at the 10-minute mark . Beyond that, you might see your audience doing other things.

How can you avoid such a mistake? The answer lies in the adage “keep it simple, stupid” or KISS. We don’t mean dumbing down your content but rather presenting it in a way that is easily digestible and accessible to your audience. One way you can do this is by organizing your research presentation using a clear structure.

Here are the slides you should prioritize when creating your research presentation PowerPoint.

1.  Title Page

The title page is the first thing your audience will see during your presentation, so put extra effort into it to make an impression. Of course, writing presentation titles and title pages will vary depending on the type of presentation you are to deliver. In the case of a research presentation, you want a formal and academic-sounding one. It should include:

  • The full title of the report
  • The date of the report
  • The name of the researchers or department in charge of the report
  • The name of the organization for which the presentation is intended

When writing the title of your research presentation, it should reflect the topic and objective of the report. Focus only on the subject and avoid adding redundant phrases like “A research on” or “A study on.” However, you may use phrases like “Market Analysis” or “Feasibility Study” because they help identify the purpose of the presentation. Doing so also serves a long-term purpose for the filing and later retrieving of the document.

Here’s a sample title page for a hypothetical market research presentation from Gillette .

Title slide in a Research Presentation

2. Executive Summary Slide

The executive summary marks the beginning of the body of the presentation, briefly summarizing the key discussion points of the research. Specifically, the summary may state the following:

  • The purpose of the investigation and its significance within the organization’s goals
  • The methods used for the investigation
  • The major findings of the investigation
  • The conclusions and recommendations after the investigation

Although the executive summary encompasses the entry of the research presentation, it should not dive into all the details of the work on which the findings, conclusions, and recommendations were based. Creating the executive summary requires a focus on clarity and brevity, especially when translating it to a PowerPoint document where space is limited.

Each point should be presented in a clear and visually engaging manner to capture the audience’s attention and set the stage for the rest of the presentation. Use visuals, bullet points, and minimal text to convey information efficiently.

Executive Summary slide in a Research Presentation

3. Introduction/ Project Description Slides

In this section, your goal is to provide your audience with the information that will help them understand the details of the presentation. Provide a detailed description of the project, including its goals, objectives, scope, and methods for gathering and analyzing data.

You want to answer these fundamental questions:

  • What specific questions are you trying to answer, problems you aim to solve, or opportunities you seek to explore?
  • Why is this project important, and what prompted it?
  • What are the boundaries of your research or initiative? 
  • How were the data gathered?

Important: The introduction should exclude specific findings, conclusions, and recommendations.

Action Evaluation Matrix in a Research Presentation

4. Data Presentation and Analyses Slides

This is the longest section of a research presentation, as you’ll present the data you’ve gathered and provide a thorough analysis of that data to draw meaningful conclusions. The format and components of this section can vary widely, tailored to the specific nature of your research.

For example, if you are doing market research, you may include the market potential estimate, competitor analysis, and pricing analysis. These elements will help your organization determine the actual viability of a market opportunity.

Visual aids like charts, graphs, tables, and diagrams are potent tools to convey your key findings effectively. These materials may be numbered and sequenced (Figure 1, Figure 2, and so forth), accompanied by text to make sense of the insights.

Data and Analysis slide in a Research Presentation

5. Conclusions

The conclusion of a research presentation is where you pull together the ideas derived from your data presentation and analyses in light of the purpose of the research. For example, if the objective is to assess the market of a new product, the conclusion should determine the requirements of the market in question and tell whether there is a product-market fit.

Designing your conclusion slide should be straightforward and focused on conveying the key takeaways from your research. Keep the text concise and to the point. Present it in bullet points or numbered lists to make the content easily scannable.

Conclusion Slide in a Research Presentation

6. Recommendations

The findings of your research might reveal elements that may not align with your initial vision or expectations. These deviations are addressed in the recommendations section of your presentation, which outlines the best course of action based on the result of the research.

What emerging markets should we target next? Do we need to rethink our pricing strategies? Which professionals should we hire for this special project? — these are some of the questions that may arise when coming up with this part of the research.

Recommendations may be combined with the conclusion, but presenting them separately to reinforce their urgency. In the end, the decision-makers in the organization or your clients will make the final call on whether to accept or decline the recommendations.

Recommendations slide in Research Presentation

7. Questions Slide

Members of your audience are not involved in carrying out your research activity, which means there’s a lot they don’t know about its details. By offering an opportunity for questions, you can invite them to bridge that gap, seek clarification, and engage in a dialogue that enhances their understanding.

If your research is more business-oriented, facilitating a question and answer after your presentation becomes imperative as it’s your final appeal to encourage buy-in for your recommendations.

A simple “Ask us anything” slide can indicate that you are ready to accept questions.

1. Focus on the Most Important Findings

The truth about presenting research findings is that your audience doesn’t need to know everything. Instead, they should receive a distilled, clear, and meaningful overview that focuses on the most critical aspects.

You will likely have to squeeze in the oral presentation of your research into a 10 to 20-minute presentation, so you have to make the most out of the time given to you. In the presentation, don’t soak in the less important elements like historical backgrounds. Decision-makers might even ask you to skip these portions and focus on sharing the findings.

2. Do Not Read Word-per-word

Reading word-for-word from your presentation slides intensifies the danger of losing your audience’s interest. Its effect can be detrimental, especially if the purpose of your research presentation is to gain approval from the audience. So, how can you avoid this mistake?

  • Make a conscious design decision to keep the text on your slides minimal. Your slides should serve as visual cues to guide your presentation.
  • Structure your presentation as a narrative or story. Stories are more engaging and memorable than dry, factual information.
  • Prepare speaker notes with the key points of your research. Glance at it when needed.
  • Engage with the audience by maintaining eye contact and asking rhetorical questions.

3. Don’t Go Without Handouts

Handouts are paper copies of your presentation slides that you distribute to your audience. They typically contain the summary of your key points, but they may also provide supplementary information supporting data presented through tables and graphs.

The purpose of distributing presentation handouts is to easily retain the key points you presented as they become good references in the future. Distributing handouts in advance allows your audience to review the material and come prepared with questions or points for discussion during the presentation.

4. Actively Listen

An equally important skill that a presenter must possess aside from speaking is the ability to listen. We are not just talking about listening to what the audience is saying but also considering their reactions and nonverbal cues. If you sense disinterest or confusion, you can adapt your approach on the fly to re-engage them.

For example, if some members of your audience are exchanging glances, they may be skeptical of the research findings you are presenting. This is the best time to reassure them of the validity of your data and provide a concise overview of how it came to be. You may also encourage them to seek clarification.

5. Be Confident

Anxiety can strike before a presentation – it’s a common reaction whenever someone has to speak in front of others. If you can’t eliminate your stress, try to manage it.

People hate public speaking not because they simply hate it. Most of the time, it arises from one’s belief in themselves. You don’t have to take our word for it. Take Maslow’s theory that says a threat to one’s self-esteem is a source of distress among an individual.

Now, how can you master this feeling? You’ve spent a lot of time on your research, so there is no question about your topic knowledge. Perhaps you just need to rehearse your research presentation. If you know what you will say and how to say it, you will gain confidence in presenting your work.

All sources you use in creating your research presentation should be given proper credit. The APA Style is the most widely used citation style in formal research.

In-text citation

Add references within the text of your presentation slide by giving the author’s last name, year of publication, and page number (if applicable) in parentheses after direct quotations or paraphrased materials. As in:

The alarming rate at which global temperatures rise directly impacts biodiversity (Smith, 2020, p. 27).

If the author’s name and year of publication are mentioned in the text, add only the page number in parentheses after the quotations or paraphrased materials. As in:

According to Smith (2020), the alarming rate at which global temperatures rise directly impacts biodiversity (p. 27).

Image citation

All images from the web, including photos, graphs, and tables, used in your slides should be credited using the format below.

Creator’s Last Name, First Name. “Title of Image.” Website Name, Day Mo. Year, URL. Accessed Day Mo. Year.

Work cited page

A work cited page or reference list should follow after the last slide of your presentation. The list should be alphabetized by the author’s last name and initials followed by the year of publication, the title of the book or article, the place of publication, and the publisher. As in:

Smith, J. A. (2020). Climate Change and Biodiversity: A Comprehensive Study. New York, NY: ABC Publications.

When citing a document from a website, add the source URL after the title of the book or article instead of the place of publication and the publisher. As in:

Smith, J. A. (2020). Climate Change and Biodiversity: A Comprehensive Study. Retrieved from https://www.smith.com/climate-change-and-biodiversity.

1. Research Project Presentation PowerPoint Template

presentation on research methods

A slide deck containing 18 different slides intended to take off the weight of how to make a research presentation. With tons of visual aids, presenters can reference existing research on similar projects to this one – or link another research presentation example – provide an accurate data analysis, disclose the methodology used, and much more.

Use This Template

2. Research Presentation Scientific Method Diagram PowerPoint Template

presentation on research methods

Whenever you intend to raise questions, expose the methodology you used for your research, or even suggest a scientific method approach for future analysis, this circular wheel diagram is a perfect fit for any presentation study.

Customize all of its elements to suit the demands of your presentation in just minutes.

3. Thesis Research Presentation PowerPoint Template

Layout of Results in Charts

If your research presentation project belongs to academia, then this is the slide deck to pair that presentation. With a formal aesthetic and minimalistic style, this research presentation template focuses only on exposing your information as clearly as possible.

Use its included bar charts and graphs to introduce data, change the background of each slide to suit the topic of your presentation, and customize each of its elements to meet the requirements of your project with ease.

4. Animated Research Cards PowerPoint Template

presentation on research methods

Visualize ideas and their connection points with the help of this research card template for PowerPoint. This slide deck, for example, can help speakers talk about alternative concepts to what they are currently managing and its possible outcomes, among different other usages this versatile PPT template has. Zoom Animation effects make a smooth transition between cards (or ideas).

5. Research Presentation Slide Deck for PowerPoint

presentation on research methods

With a distinctive professional style, this research presentation PPT template helps business professionals and academics alike to introduce the findings of their work to team members or investors.

By accessing this template, you get the following slides:

  • Introduction
  • Problem Statement
  • Research Questions
  • Conceptual Research Framework (Concepts, Theories, Actors, & Constructs)
  • Study design and methods
  • Population & Sampling
  • Data Collection
  • Data Analysis

Check it out today and craft a powerful research presentation out of it!

A successful research presentation in business is not just about presenting data; it’s about persuasion to take meaningful action. It’s the bridge that connects your research efforts to the strategic initiatives of your organization. To embark on this journey successfully, planning your presentation thoroughly is paramount, from designing your PowerPoint to the delivery.

Take a look and get inspiration from the sample research presentation slides above, put our tips to heart, and transform your research findings into a compelling call to action.

presentation on research methods

Like this article? Please share

Academics, Presentation Approaches, Research & Development Filed under Presentation Ideas

Related Articles

How to Make a Presentation Graph

Filed under Design • March 27th, 2024

How to Make a Presentation Graph

Detailed step-by-step instructions to master the art of how to make a presentation graph in PowerPoint and Google Slides. Check it out!

How to Make a Fundraising Presentation (with Thermometer Templates & Slides)

Filed under Presentation Ideas • February 29th, 2024

How to Make a Fundraising Presentation (with Thermometer Templates & Slides)

Meet a new framework to design fundraising presentations by harnessing the power of fundraising thermometer templates. Detailed guide with examples.

How to Create a 5 Minutes Presentation

Filed under Presentation Ideas • February 15th, 2024

How to Create a 5 Minutes Presentation

Master the art of short-format speeches like the 5 minutes presentation with this article. Insights on content structure, audience engagement and more.

Leave a Reply

presentation on research methods

Please log in to save materials. Log in

  • Resource Library
  • Research Methods
  • VIVA Grant Recipients
  • Vgr-social-work-research

Education Standards

Radford university.

Learning Domain: Social Work

Standard: Basic Research Methodology

Lesson 10: Sampling in Qualitative Research

Lesson 11: qualitative measurement & rigor, lesson 12: qualitative design & data gathering, lesson 1: introduction to research, lesson 2: getting started with your research project, lesson 3: critical information literacy, lesson 4: paradigm, theory, and causality, lesson 5: research questions, lesson 6: ethics, lesson 7: measurement in quantitative research, lesson 8: sampling in quantitative research, lesson 9: quantitative research designs, powerpoint slides: sowk 621.01: research i: basic research methodology.

PowerPoint Slides: SOWK 621.01: Research I: Basic Research Methodology

The twelve lessons for SOWK 621.01: Research I: Basic Research Methodology as previously taught by Dr. Matthew DeCarlo at Radford University. Dr. DeCarlo and his team developed a complete package of materials that includes a textbook, ancillary materials, and a student workbook as part of a VIVA Open Course Grant.

The PowerPoint slides associated with the twelve lessons of the course, SOWK 621.01: Research I: Basic Research Methodology, as previously taught by Dr. Matthew DeCarlo at Radford University. 

Logo for Open Educational Resources

Chapter 20. Presentations

Introduction.

If a tree falls in a forest, and no one is around to hear it, does it make a sound? If a qualitative study is conducted, but it is not presented (in words or text), did it really happen? Perhaps not. Findings from qualitative research are inextricably tied up with the way those findings are presented. These presentations do not always need to be in writing, but they need to happen. Think of ethnographies, for example, and their thick descriptions of a particular culture. Witnessing a culture, taking fieldnotes, talking to people—none of those things in and of themselves convey the culture. Or think about an interview-based phenomenological study. Boxes of interview transcripts might be interesting to read through, but they are not a completed study without the intervention of hours of analysis and careful selection of exemplary quotes to illustrate key themes and final arguments and theories. And unlike much quantitative research in the social sciences, where the final write-up neatly reports the results of analyses, the way the “write-up” happens is an integral part of the analysis in qualitative research. Once again, we come back to the messiness and stubborn unlinearity of qualitative research. From the very beginning, when designing the study, imagining the form of its ultimate presentation is helpful.

Because qualitative researchers are motivated by understanding and conveying meaning, effective communication is not only an essential skill but a fundamental facet of the entire research project. Ethnographers must be able to convey a certain sense of verisimilitude, the appearance of true reality. Those employing interviews must faithfully depict the key meanings of the people they interviewed in a way that rings true to those people, even if the end result surprises them. And all researchers must strive for clarity in their publications so that various audiences can understand what was found and why it is important. This chapter will address how to organize various kinds of presentations for different audiences so that your results can be appreciated and understood.

In the world of academic science, social or otherwise, the primary audience for a study’s results is usually the academic community, and the primary venue for communicating to this audience is the academic journal. Journal articles are typically fifteen to thirty pages in length (8,000 to 12,000 words). Although qualitative researchers often write and publish journal articles—indeed, there are several journals dedicated entirely to qualitative research [1] —the best writing by qualitative researchers often shows up in books. This is because books, running from 80,000 to 150,000 words in length, allow the researcher to develop the material fully. You have probably read some of these in various courses you have taken, not realizing what they are. I have used examples of such books throughout this text, beginning with the three profiles in the introductory chapter. In some instances, the chapters in these books began as articles in academic journals (another indication that the journal article format somewhat limits what can be said about the study overall).

While the article and the book are “final” products of qualitative research, there are actually a few other presentation formats that are used along the way. At the very beginning of a research study, it is often important to have a written research proposal not just to clarify to yourself what you will be doing and when but also to justify your research to an outside agency, such as an institutional review board (IRB; see chapter 12), or to a potential funder, which might be your home institution, a government funder (such as the National Science Foundation, or NSF), or a private foundation (such as the Gates Foundation). As you get your research underway, opportunities will arise to present preliminary findings to audiences, usually through presentations at academic conferences. These presentations can provide important feedback as you complete your analyses. Finally, if you are completing a degree and looking to find an academic job, you will be asked to provide a “job talk,” usually about your research. These job talks are similar to conference presentations but can run significantly longer.

All the presentations mentioned so far are (mostly) for academic audiences. But qualitative research is also unique in that many of its practitioners don’t want to confine their presentation only to other academics. Qualitative researchers who study particular contexts or cultures might want to report back to the people and places they observed. Those working in the critical tradition might want to raise awareness of a particular issue to as large an audience as possible. Many others simply want everyday, nonacademic people to read their work, because they think it is interesting and important. To reach a wide audience, the final product can look like almost anything—it can be a poem, a blog, a podcast, even a science fiction short story. And if you are very lucky, it can even be a national or international bestseller.

In this chapter, we are going to stick with the more basic quotidian presentations—the academic paper / research proposal, the conference slideshow presentation / job talk, and the conference poster. We’ll also spend a bit of time on incorporating universal design into your presentations and how to create some especially attractive and impactful visual displays.

Researcher Note

What is the best piece of advice you’ve ever been given about conducting qualitative research?

The best advice I’ve received came from my adviser, Alford Young Jr. He told me to find the “Jessi Streib” answer to my research question, not the “Pierre Bourdieu” answer to my research question. In other words, don’t just say how a famous theorist would answer your question; say something original, something coming from you.

—Jessi Streib, author of The Power of the Past and Privilege Lost 

Writing about Your Research

The journal article and the research proposal.

Although the research proposal is written before you have actually done your research and the article is written after all data collection and analysis is complete, there are actually many similarities between the two in terms of organization and purpose. The final article will (probably—depends on how much the research question and focus have shifted during the research itself) incorporate a great deal of what was included in a preliminary research proposal. The average lengths of both a proposal and an article are quite similar, with the “front sections” of the article abbreviated to make space for the findings, discussion of findings, and conclusion.

Figure 20.1 shows one model for what to include in an article or research proposal, comparing the elements of each with a default word count for each section. Please note that you will want to follow whatever specific guidelines you have been provided by the venue you are submitting the article/proposal to: the IRB, the NSF, the Journal of Qualitative Research . In fact, I encourage you to adapt the default model as needed by swapping out expected word counts for each section and adding or varying the sections to match expectations for your particular publication venue. [2]

You will notice a few things about the default model guidelines. First, while half of the proposal is spent discussing the research design, this section is shortened (but still included) for the article. There are a few elements that only show up in the proposal (e.g., the limitations section is in the introductory section here—it will be more fully developed in the conclusory section in the article). Obviously, you don’t have findings in the proposal, so this is an entirely new section for the article. Note that the article does not include a data management plan or a timeline—two aspects that most proposals require.

It might be helpful to find and maintain examples of successfully written sections that you can use as models for your own writing. I have included a few of these throughout the textbook and have included a few more at the end of this chapter.

Make an Argument

Some qualitative researchers, particularly those engaged in deep ethnographic research, focus their attention primarily if not exclusively on describing the data. They might even eschew the notion that they should make an “argument” about the data, preferring instead to use thick descriptions to convey interpretations. Bracketing the contrast between interpretation and argument for the moment, most readers will expect you to provide an argument about your data, and this argument will be in answer to whatever research question you eventually articulate (remember, research questions are allowed to shift as you get further into data collection and analysis). It can be frustrating to read a well-developed study with clear and elegant descriptions and no argument. The argument is the point of the research, and if you do not have one, 99 percent of the time, you are not finished with your analysis. Calarco ( 2020 ) suggests you imagine a pyramid, with all of your data forming the basis and all of your findings forming the middle section; the top/point of the pyramid is your argument, “what the patterns in your data tell us about how the world works or ought to work” ( 181 ).

The academic community to which you belong will be looking for an argument that relates to or develops theory. This is the theoretical generalizability promise of qualitative research. An academic audience will want to know how your findings relate to previous findings, theories, and concepts (the literature review; see chapter 9). It is thus vitally important that you go back to your literature review (or develop a new one) and draw those connections in your discussion and/or conclusion. When writing to other audiences, you will still want an argument, although it may not be written as a theoretical one. What do I mean by that? Even if you are not referring to previous literature or developing new theories or adapting older ones, a simple description of your findings is like dumping a lot of leaves in the lap of your audience. They still deserve to know about the shape of the forest. Maybe provide them a road map through it. Do this by telling a clear and cogent story about the data. What is the primary theme, and why is it important? What is the point of your research? [3]

A beautifully written piece of research based on participant observation [and/or] interviews brings people to life, and helps the reader understand the challenges people face. You are trying to use vivid, detailed and compelling words to help the reader really understand the lives of the people you studied. And you are trying to connect the lived experiences of these people to a broader conceptual point—so that the reader can understand why it matters. ( Lareau 2021:259 )

Do not hide your argument. Make it the focal point of your introductory section, and repeat it as often as needed to ensure the reader remembers it. I am always impressed when I see researchers do this well (see, e.g., Zelizer 1996 ).

Here are a few other suggestions for writing your article: Be brief. Do not overwhelm the reader with too many words; make every word count. Academics are particularly prone to “overwriting” as a way of demonstrating proficiency. Don’t. When writing your methods section, think about it as a “recipe for your work” that allows other researchers to replicate if they so wish ( Calarco 2020:186 ). Convey all the necessary information clearly, succinctly, and accurately. No more, no less. [4] Do not try to write from “beginning to end” in that order. Certain sections, like the introductory section, may be the last ones you write. I find the methods section the easiest, so I often begin there. Calarco ( 2020 ) begins with an outline of the analysis and results section and then works backward from there to outline the contribution she is making, then the full introduction that serves as a road map for the writing of all sections. She leaves the abstract for the very end. Find what order best works for you.

Presenting at Conferences and Job Talks

Students and faculty are primarily called upon to publicly present their research in two distinct contexts—the academic conference and the “job talk.” By convention, conference presentations usually run about fifteen minutes and, at least in sociology and other social sciences, rely primarily on the use of a slideshow (PowerPoint Presentation or PPT) presentation. You are usually one of three or four presenters scheduled on the same “panel,” so it is an important point of etiquette to ensure that your presentation falls within the allotted time and does not crowd into that of the other presenters. Job talks, on the other hand, conventionally require a forty- to forty-five-minute presentation with a fifteen- to twenty-minute question and answer (Q&A) session following it. You are the only person presenting, so if you run over your allotted time, it means less time for the Q&A, which can disturb some audience members who have been waiting for a chance to ask you something. It is sometimes possible to incorporate questions during your presentation, which allows you to take the entire hour, but you might end up shorting your presentation this way if the questions are numerous. It’s best for beginners to stick to the “ask me at the end” format (unless there is a simple clarifying question that can easily be addressed and makes the presentation run more smoothly, as in the case where you simply forgot to include information on the number of interviews you conducted).

For slideshows, you should allot two or even three minutes for each slide, never less than one minute. And those slides should be clear, concise, and limited. Most of what you say should not be on those slides at all. The slides are simply the main points or a clear image of what you are speaking about. Include bulleted points (words, short phrases), not full sentences. The exception is illustrative quotations from transcripts or fieldnotes. In those cases, keep to one illustrative quote per slide, and if it is long, bold or otherwise, highlight the words or passages that are most important for the audience to notice. [5]

Figure 20.2 provides a possible model for sections to include in either a conference presentation or a job talk, with approximate times and approximate numbers of slides. Note the importance (in amount of time spent) of both the research design and the findings/results sections, both of which have been helpfully starred for you. Although you don’t want to short any of the sections, these two sections are the heart of your presentation.

Fig 20.2. Suggested Slideshow Times and Number of Slides

Should you write out your script to read along with your presentation? I have seen this work well, as it prevents presenters from straying off topic and keeps them to the time allotted. On the other hand, these presentations can seem stiff and wooden. Personally, although I have a general script in advance, I like to speak a little more informally and engagingly with each slide, sometimes making connections with previous panelists if I am at a conference. This means I have to pay attention to the time, and I sometimes end up breezing through one section more quickly than I would like. Whatever approach you take, practice in advance. Many times. With an audience. Ask for feedback, and pay attention to any presentation issues that arise (e.g., Do you speak too fast? Are you hard to hear? Do you stumble over a particular word or name?).

Even though there are rules and guidelines for what to include, you will still want to make your presentation as engaging as possible in the little amount of time you have. Calarco ( 2020:274 ) recommends trying one of three story structures to frame your presentation: (1) the uncertain explanation , where you introduce a phenomenon that has not yet been fully explained and then describe how your research is tackling this; (2) the uncertain outcome , where you introduce a phenomenon where the consequences have been unclear and then you reveal those consequences with your research; and (3) the evocative example , where you start with some interesting example from your research (a quote from the interview transcripts, for example) or the real world and then explain how that example illustrates the larger patterns you found in your research. Notice that each of these is a framing story. Framing stories are essential regardless of format!

A Word on Universal Design

Please consider accessibility issues during your presentation, and incorporate elements of universal design into your slideshow. The basic idea behind universal design in presentations is that to the greatest extent possible, all people should be able to view, hear, or otherwise take in your presentation without needing special individual adaptations. If you can make your presentation accessible to people with visual impairment or hearing loss, why not do so? For example, one in twelve men is color-blind, unable to differentiate between certain colors, red/green being the most common problem. So if you design a graphic that relies on red and green bars, some of your audience members may not be able to properly identify which bar means what. Simple contrasts of black and white are much more likely to be visible to all members of your audience. There are many other elements of good universal design, but the basic foundation of all of them is that you consider how to make your presentation as accessible as possible at the outset. For example, include captions whenever possible, both as descriptions on slides and as images on slides and for any audio or video clips you are including; keep font sizes large enough to read from the back of the room; and face the audience when you are.

Poster Design

Undergraduate students who present at conferences are often encouraged to present at “poster sessions.” This usually means setting up a poster version of your research in a large hall or convention space at a set period of time—ninety minutes is common. Your poster will be one of dozens, and conference-goers will wander through the space, stopping intermittently at posters that attract them. Those who stop by might ask you questions about your research, and you are expected to be able to talk intelligently for two or three minutes. It’s a fairly easy way to practice presenting at conferences, which is why so many organizations hold these special poster sessions.

Null

A good poster design will be immediately attractive to passersby and clearly and succinctly describe your research methods, findings, and conclusions. Some students have simply shrunk down their research papers to manageable sizes and then pasted them on a poster, all twelve to fifteen pages of them. Don’t do that! Here are some better suggestions: State the main conclusion of your research in large bold print at the top of your poster, on brightly colored (contrasting) paper, and paste in a QR code that links to your full paper online ( Calarco 2020:280 ). Use the rest of the poster board to provide a couple of highlights and details of the study. For an interview-based study, for example, you will want to put in some details about your sample (including number of interviews) and setting and then perhaps one or two key quotes, also distinguished by contrasting color background.

Incorporating Visual Design in Your Presentations

In addition to ensuring that your presentation is accessible to as large an audience as possible, you also want to think about how to display your data in general, particularly how to use charts and graphs and figures. [6] The first piece of advice is, use them! As the saying goes, a picture is worth a thousand words. If you can cut to the chase with a visually stunning display, do so. But there are visual displays that are stunning, and then there are the tired, hard-to-see visual displays that predominate at conferences. You can do better than most presenters by simply paying attention here and committing yourself to a good design. As with model section passages, keep a file of visual displays that work as models for your own presentations. Find a good guidebook to presenting data effectively (Evergreen 2018 , 2019 ; Schwabisch 2021) , and refer to it often.

Let me make a few suggestions here to get you started. First, test every visual display on a friend or colleague to find out how quickly they can understand the point you are trying to convey. As with reading passages aloud to ensure that your writing works, showing someone your display is the quickest way to find out if it works. Second, put the point in the title of the display! When writing for an academic journal, there will be specific conventions of what to include in the title (full description including methods of analysis, sample, dates), but in a public presentation, there are no limiting rules. So you are free to write as your title “Working-Class College Students Are Three Times as Likely as Their Peers to Drop Out of College,” if that is the point of the graphic display. It certainly helps the communicative aspect. Third, use the themes available to you in Excel for creating graphic displays, but alter them to better fit your needs . Consider adding dark borders to bars and columns, for example, so that they appear crisper for your audience. Include data callouts and labels, and enlarge them so they are clearly visible. When duplicative or otherwise unnecessary, drop distracting gridlines and labels on the y-axis (the vertical one). Don’t go crazy adding different fonts, however—keep things simple and clear. Sans serif fonts (those without the little hooks on the ends of letters) read better from a distance. Try to use the same color scheme throughout, even if this means manually changing the colors of bars and columns. For example, when reporting on working-class college students, I use blue bars, while I reserve green bars for wealthy students and yellow bars for students in the middle. I repeat these colors throughout my presentations and incorporate different colors when talking about other items or factors. You can also try using simple grayscale throughout, with pops of color to indicate a bar or column or line that is of the most interest. These are just some suggestions. The point is to take presentation seriously and to pay attention to visual displays you are using to ensure they effectively communicate what you want them to communicate. I’ve included a data visualization checklist from Evergreen ( 2018 ) here.

Ethics of Presentation and Reliability

Until now, all the data you have collected have been yours alone. Once you present the data, however, you are sharing sometimes very intimate information about people with a broader public. You will find yourself balancing between protecting the privacy of those you’ve interviewed and observed and needing to demonstrate the reliability of the study. The more information you provide to your audience, the more they can understand and appreciate what you have found, but this also may pose risks to your participants. There is no one correct way to go about finding the right balance. As always, you have a duty to consider what you are doing and must make some hard decisions.

Null

The most obvious place we see this paradox emerge is when you mask your data to protect the privacy of your participants. It is standard practice to provide pseudonyms, for example. It is such standard practice that you should always assume you are being given a pseudonym when reading a book or article based on qualitative research. When I was a graduate student, I tried to find information on how best to construct pseudonyms but found little guidance. There are some ethical issues here, I think. [7] Do you create a name that has the same kind of resonance as the original name? If the person goes by a nickname, should you use a nickname as a pseudonym? What about names that are ethnically marked (as in, almost all of them)? Is there something unethical about reracializing a person? (Yes!) In her study of adolescent subcultures, Wilkins ( 2008 ) noted, “Because many of the goths used creative, alternative names rather than their given names, I did my best to reproduce the spirit of their chosen names” ( 24 ).

Your reader or audience will want to know all the details about your participants so that they can gauge both your credibility and the reliability of your findings. But how many details are too many? What if you change the name but otherwise retain all the personal pieces of information about where they grew up, and how old they were when they got married, and how many children they have, and whether they made a splash in the news cycle that time they were stalked by their ex-boyfriend? At some point, those details are going to tip over into the zone of potential unmasking. When you are doing research at one particular field site that may be easily ascertained (as when you interview college students, probably at the institution at which you are a student yourself), it is even more important to be wary of providing too many details. You also need to think that your participants might read what you have written, know things about the site or the population from which you drew your interviews, and figure out whom you are talking about. This can all get very messy if you don’t do more than simply pseudonymize the people you interviewed or observed.

There are some ways to do this. One, you can design a study with all of these risks in mind. That might mean choosing to conduct interviews or observations at multiple sites so that no one person can be easily identified. Another is to alter some basic details about your participants to protect their identity or to refuse to provide all the information when selecting quotes . Let’s say you have an interviewee named “Anna” (a pseudonym), and she is a twenty-four-year-old Latina studying to be an engineer. You want to use a quote from Anna about racial discrimination in her graduate program. Instead of attributing the quote to Anna (whom your reader knows, because you’ve already told them, is a twenty-four-year-old Latina studying engineering), you might simply attribute the quote to “Latina student in STEM.” Taking this a step further, you might leave the quote unattributed, providing a list of quotes about racial discrimination by “various students.”

The problem with masking all the identifiers, of course, is that you lose some of the analytical heft of those attributes. If it mattered that Anna was twenty-four (not thirty-four) and that she was a Latina and that she was studying engineering, taking out any of those aspects of her identity might weaken your analysis. This is one of those “hard choices” you will be called on to make! A rather radical and controversial solution to this dilemma is to create composite characters , characters based on the reality of the interviews but fully masked because they are not identifiable with any one person. My students are often very queasy about this when I explain it to them. The more positivistic your approach and the more you see individuals rather than social relationships/structure as the “object” of your study, the more employing composites will seem like a really bad idea. But composites “allow researchers to present complex, situated accounts from individuals” without disclosing personal identities ( Willis 2019 ), and they can be effective ways of presenting theory narratively ( Hurst 2019 ). Ironically, composites permit you more latitude when including “dirty laundry” or stories that could harm individuals if their identities became known. Rather than squeezing out details that could identify a participant, the identities are permanently removed from the details. Great difficulty remains, however, in clearly explaining the theoretical use of composites to your audience and providing sufficient information on the reliability of the underlying data.

There are a host of other ethical issues that emerge as you write and present your data. This is where being reflective throughout the process will help. How and what you share of what you have learned will depend on the social relationships you have built, the audiences you are writing or speaking to, and the underlying animating goals of your study. Be conscious about all of your decisions, and then be able to explain them fully, both to yourself and to those who ask.

Our research is often close to us. As a Black woman who is a first-generation college student and a professional with a poverty/working-class origin, each of these pieces of my identity creates nuances in how I engage in my research, including how I share it out. Because of this, it’s important for us to have people in our lives who we trust who can help us, particularly, when we are trying to share our findings. As researchers, we have been steeped in our work, so we know all the details and nuances. Sometimes we take this for granted, and we might not have shared those nuances in conversation or writing or taken some of this information for granted. As I share my research with trusted friends and colleagues, I pay attention to the questions they ask me or the feedback they give when we talk or when they read drafts.

—Kim McAloney, PhD, College Student Services Administration Ecampus coordinator and instructor

Final Comments: Preparing for Being Challenged

Once you put your work out there, you must be ready to be challenged. Science is a collective enterprise and depends on a healthy give and take among researchers. This can be both novel and difficult as you get started, but the more you understand the importance of these challenges, the easier it will be to develop the kind of thick skin necessary for success in academia. Scientists’ authority rests on both the inherent strength of their findings and their ability to convince other scientists of the reliability and validity and value of those findings. So be prepared to be challenged, and recognize this as simply another important aspect of conducting research!

Considering what challenges might be made as you design and conduct your study will help you when you get to the writing and presentation stage. Address probable challenges in your final article, and have a planned response to probable questions in a conference presentation or job talk. The following is a list of common challenges of qualitative research and how you might best address them:

  • Questions about generalizability . Although qualitative research is not statistically generalizable (and be prepared to explain why), qualitative research is theoretically generalizable. Discuss why your findings here might tell us something about related phenomena or contexts.
  • Questions about reliability . You probably took steps to ensure the reliability of your findings. Discuss them! This includes explaining the use and value of multiple data sources and defending your sampling and case selections. It also means being transparent about your own position as researcher and explaining steps you took to ensure that what you were seeing was really there.
  • Questions about replicability. Although qualitative research cannot strictly be replicated because the circumstances and contexts will necessarily be different (if only because the point in time is different), you should be able to provide as much detail as possible about how the study was conducted so that another researcher could attempt to confirm or disconfirm your findings. Also, be very clear about the limitations of your study, as this allows other researchers insight into what future research might be warranted.

None of this is easy, of course. Writing beautifully and presenting clearly and cogently require skill and practice. If you take anything from this chapter, it is to remember that presentation is an important and essential part of the research process and to allocate time for this as you plan your research.

Data Visualization Checklist for Slideshow (PPT) Presentations

Adapted from Evergreen ( 2018 )

Text checklist

  • Short catchy, descriptive titles (e.g., “Working-class students are three times as likely to drop out of college”) summarize the point of the visual display
  • Subtitled and annotations provide additional information (e.g., “note: male students also more likely to drop out”)
  • Text size is hierarchical and readable (titles are largest; axes labels smallest, which should be at least 20points)
  • Text is horizontal. Audience members cannot read vertical text!
  • All data labeled directly and clearly: get rid of those “legends” and embed the data in your graphic display
  • Labels are used sparingly; avoid redundancy (e.g., do not include both a number axis and a number label)

Arrangement checklist

  • Proportions are accurate; bar charts should always start at zero; don’t mislead the audience!
  • Data are intentionally ordered (e.g., by frequency counts). Do not leave ragged alphabetized bar graphs!
  • Axis intervals are equidistant: spaces between axis intervals should be the same unit
  • Graph is two-dimensional. Three-dimensional and “bevelled” displays are confusing
  • There is no unwanted decoration (especially the kind that comes automatically through the PPT “theme”). This wastes your space and confuses.

Color checklist

  • There is an intentional color scheme (do not use default theme)
  • Color is used to identify key patterns (e.g., highlight one bar in red against six others in greyscale if this is the bar you want the audience to notice)
  • Color is still legible when printed in black and white
  • Color is legible for people with color blindness (do not use red/green or yellow/blue combinations)
  • There is sufficient contrast between text and background (black text on white background works best; be careful of white on dark!)

Lines checklist

  • Be wary of using gridlines; if you do, mute them (grey, not black)
  • Allow graph to bleed into surroundings (don’t use border lines)
  • Remove axis lines unless absolutely necessary (better to label directly)

Overall design checklist

  • The display highlights a significant finding or conclusion that your audience can ‘”see” relatively quickly
  • The type of graph (e.g., bar chart, pie chart, line graph) is appropriate for the data. Avoid pie charts with more than three slices!
  • Graph has appropriate level of precision; if you don’t need decimal places
  • All the chart elements work together to reinforce the main message

Universal Design Checklist for Slideshow (PPT) Presentations

  • Include both verbal and written descriptions (e.g., captions on slides); consider providing a hand-out to accompany the presentation
  • Microphone available (ask audience in back if they can clearly hear)
  • Face audience; allow people to read your lips
  • Turn on captions when presenting audio or video clips
  • Adjust light settings for visibility
  • Speak slowly and clearly; practice articulation; don’t mutter or speak under your breath (even if you have something humorous to say – say it loud!)
  • Use Black/White contrasts for easy visibility; or use color contrasts that are real contrasts (do not rely on people being able to differentiate red from green, for example)
  • Use easy to read font styles and avoid too small font sizes: think about what an audience member in the back row will be able to see and read.
  • Keep your slides simple: do not overclutter them; if you are including quotes from your interviews, take short evocative snippets only, and bold key words and passages. You should also read aloud each passage, preferably with feeling!

Supplement: Models of Written Sections for Future Reference

Data collection section example.

Interviews were semi structured, lasted between one and three hours, and took place at a location chosen by the interviewee. Discussions centered on four general topics: (1) knowledge of their parent’s immigration experiences; (2) relationship with their parents; (3) understanding of family labor, including language-brokering experiences; and (4) experiences with school and peers, including any future life plans. While conducting interviews, I paid close attention to respondents’ nonverbal cues, as well as their use of metaphors and jokes. I conducted interviews until I reached a point of saturation, as indicated by encountering repeated themes in new interviews (Glaser and Strauss 1967). Interviews were audio recorded, transcribed with each interviewee’s permission, and conducted in accordance with IRB protocols. Minors received permission from their parents before participation in the interview. ( Kwon 2022:1832 )

Justification of Case Selection / Sample Description Section Example

Looking at one profession within one organization and in one geographic area does impose limitations on the generalizability of our findings. However, it also has advantages. We eliminate the problem of interorganizational heterogeneity. If multiple organizations are studied simultaneously, it can make it difficult to discern the mechanisms that contribute to racial inequalities. Even with a single occupation there is considerable heterogeneity, which may make understanding how organizational structure impacts worker outcomes difficult. By using the case of one group of professionals in one religious denomination in one geographic region of the United States, we clarify how individuals’ perceptions and experiences of occupational inequality unfold in relation to a variety of observed and unobserved occupational and contextual factors that might be obscured in a larger-scale study. Focusing on a specific group of professionals allows us to explore and identify ways that formal organizational rules combine with informal processes to contribute to the persistence of racial inequality. ( Eagle and Mueller 2022:1510–1511 )

Ethics Section Example

I asked everyone who was willing to sit for a formal interview to speak only for themselves and offered each of them a prepaid Visa Card worth $25–40. I also offered everyone the opportunity to keep the card and erase the tape completely at any time they were dissatisfied with the interview in any way. No one asked for the tape to be erased; rather, people remarked on the interview being a really good experience because they felt heard. Each interview was professionally transcribed and for the most part the excerpts are literal transcriptions. In a few places, the excerpts have been edited to reduce colloquial features of speech (e.g., you know, like, um) and some recursive elements common to spoken language. A few excerpts were placed into standard English for clarity. I made this choice for the benefit of readers who might otherwise find the insights and ideas harder to parse in the original. However, I have to acknowledge this as an act of class-based violence. I tried to keep the original phrasing whenever possible. ( Pascale 2021:235 )

Further Readings

Calarco, Jessica McCrory. 2020. A Field Guide to Grad School: Uncovering the Hidden Curriculum . Princeton, NJ: Princeton University Press. Don’t let the unassuming title mislead you—there is a wealth of helpful information on writing and presenting data included here in a highly accessible manner. Every graduate student should have a copy of this book.

Edwards, Mark. 2012. Writing in Sociology . Thousand Oaks, CA: SAGE. An excellent guide to writing and presenting sociological research by an Oregon State University professor. Geared toward undergraduates and useful for writing about either quantitative or qualitative research or both.

Evergreen, Stephanie D. H. 2018. Presenting Data Effectively: Communicating Your Findings for Maximum Impact . Thousand Oaks, CA: SAGE. This is one of my very favorite books, and I recommend it highly for everyone who wants their presentations and publications to communicate more effectively than the boring black-and-white, ragged-edge tables and figures academics are used to seeing.

Evergreen, Stephanie D. H. 2019. Effective Data Visualization 2 . Thousand Oaks, CA: SAGE. This is an advanced primer for presenting clean and clear data using graphs, tables, color, font, and so on. Start with Evergreen (2018), and if you graduate from that text, move on to this one.

Schwabisch, Jonathan. 2021. Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks . New York: Columbia University Press. Where Evergreen’s (2018, 2019) focus is on how to make the best visual displays possible for effective communication, this book is specifically geared toward visual displays of academic data, both quantitative and qualitative. If you want to know when it is appropriate to use a pie chart instead of a stacked bar chart, this is the reference to use.

  • Some examples: Qualitative Inquiry , Qualitative Research , American Journal of Qualitative Research , Ethnography , Journal of Ethnographic and Qualitative Research , Qualitative Report , Qualitative Sociology , and Qualitative Studies . ↵
  • This is something I do with every article I write: using Excel, I write each element of the expected article in a separate row, with one column for “expected word count” and another column for “actual word count.” I fill in the actual word count as I write. I add a third column for “comments to myself”—how things are progressing, what I still need to do, and so on. I then use the “sum” function below each of the first two columns to keep a running count of my progress relative to the final word count. ↵
  • And this is true, I would argue, even when your primary goal is to leave space for the voices of those who don’t usually get a chance to be part of the conversation. You will still want to put those voices in some kind of choir, with a clear direction (song) to be sung. The worst thing you can do is overwhelm your audience with random quotes or long passages with no key to understanding them. Yes, a lot of metaphors—qualitative researchers love metaphors! ↵
  • To take Calarco’s recipe analogy further, do not write like those food bloggers who spend more time discussing the color of their kitchen or the experiences they had at the market than they do the actual cooking; similarly, do not write recipes that omit crucial details like the amount of flour or the size of the baking pan used or the temperature of the oven. ↵
  • The exception is the “compare and contrast” of two or more quotes, but use caution here. None of the quotes should be very long at all (a sentence or two each). ↵
  • Although this section is geared toward presentations, many of the suggestions could also be useful when writing about your data. Don’t be afraid to use charts and graphs and figures when writing your proposal, article, thesis, or dissertation. At the very least, you should incorporate a tabular display of the participants, sites, or documents used. ↵
  • I was so puzzled by these kinds of questions that I wrote one of my very first articles on it ( Hurst 2008 ). ↵

The visual presentation of data or information through graphics such as charts, graphs, plots, infographics, maps, and animation.  Recall the best documentary you ever viewed, and there were probably excellent examples of good data visualization there (for me, this was An Inconvenient Truth , Al Gore’s film about climate change).  Good data visualization allows more effective communication of findings of research, particularly in public presentations (e.g., slideshows).

Introduction to Qualitative Research Methods Copyright © 2023 by Allison Hurst is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License , except where otherwise noted.

Guide to Research Methods

About the guide

This guide will

  • Introduce you to a range of research methods
  • Help you think about the value and limitations of different research methods
  • Identify when to use alternative research methods

You should use the guide

  • After or while you establish your research questions (See the Guide to Research Questions )
  • When you are completing your Research Design Framework
  • When you are thinking about who you want to talk to and why (See the Guide to Sampling )

You should print or read this guide

These slides are set up so that they can be printed back to back (two/four sided) to give:

  • A short hand overview about when to use each method
  • A summary of the method, what it’s good for and limitations (linking to other slides in this pack)

Choosing research methods

When you need to think about which method is best in theory and in practice

Choosing Research Methods

Providing a rationale for the methods you choose to use and how you employ them.

  • What are your research goals? If you are looking to influence experts or policy makers, quantitative approaches will add weight to your findings. If you are looking to understand problems, inform innovation or develop a prototype, look at qualitative methods or user research
  • What are your research questions? If they begin with ‘explore’ or ‘what’ look at qualitative methods (talking). If they begin with ‘identify’ or ‘why’ look at quantitative (see guide to research questions )
  • What research traditions exist? You may choose to follow or challenge them. Think about whether you want your research to be noted for its quality and robustness or creative approach and unique insights
  • What are your/your teams skills? You may not be an expert in the most appropriate method so consider asking for other team members or commissioning out research
  • Who are you research participants? Think about your relationship to participants (especially if you are doing qualitative research) and how they will respond to you and the method. Consider if they are often consulted or surveyed and whether if could be helpful or unhelpful to stick with their comfort zone or not.

Using online tools

When you need to decide which tools to use for research

What to think about when choosing a tool to conduct research

  • What’s the cost to the research quality ? Most tools are ‘freemium’, use a basic version for free. BUT these are designed to annoy you to pay to do good research. Consider privacy settings, data access, storage and value for money. Survey tools will have no option to filter participants (if yes/no answer this q), a 10Q limit, no branding. Mapping/visualisations are published online and open source tools aren’t always user friendly
  • Start with user needs, understand the context and think about everyone. Consider what technology they have, how they will access the tool and what they need to do this. Do they have internet, data, time?
  • Be creative: Online tools may not be designed for research, but Google Forms, Trello, Workflowy and Slack are all valuable collaboration tools. Twitter and Facebook polls may increase participation in research. However, think about what they are missing, what they can’t do and pilot your analysis approach first
  • See what’s out there: This online sheet of Applied Social Research Guides and Resources includes a list of online tools for research and evaluation to test. Those widely used for your research method or sector are likely to be the best starting point. Some tools allow you to do research (see Tags for Twitter data capture), analyse it or present it in new ways (see Raw Graph s for data visualisation)

Contents: Methods summary

  • Structured Interviews : When you want to gain a broad range of perspectives about specific questions
  • Semi-Structured Interviews : When you want to gain in-depth insights about broad questions
  • Unstructured Interviews : When you want to gain in-depth insights about a complex research topics
  • Telephone Interviews : A tool for when you want to interview people quickly and easily
  • Guerilla Interviews : When you want to carry out user research or explore general perspectives quickly
  • Contextual Interviews : When you want to understand actions and particular experiences indepth and in context
  • Focus Groups : When you want to understand shared experiences and different perspectives
  • Participant Observation : When you want to ‘learn by doing’ or observe social interactions and behaviour
  • Ethnography : When you want to experience social practices, interactions and behaviour with minimal influence
  • Surveys: When you want to generate numerical data about the scale of people’s opinions and feelings
  • Mixed Methods: When one method cannot fully answer your main research question
  • User Research : When you want to learn about the behaviours and motivations of your target audience
  • Service Design Research : When you want to design a service to meet people’s needs.
  • Content Analysis : When you want to understand public discourse through secondary or online data
  • Workshops : When you want to engage stakeholders in research, generate ideas or codesign solutions
  • Usability tests : When you want to test prototypes or learn about problems with an existing service

Find out more

How to do good…

  • Applied social research: A curated online sheet of Applied Social Research Guides and Resources
  • Surveys : Guide to creating questions here and here , build on existing data/questions , analysis guide
  • Interviews : A nice overview here which includes how to structure an interview
  • User research : The GDS for intro guides and DisAmbiguity blog
  • Service design: This is Service Design Doing has great tools and formats for workshops

Inspiration for emerging research methods and creative formats for research

  • Ethnography and mixed methods presented well: Ikea At Home Report
  • User mapping techniques as a social research method NPC Report
  • User Research to understand domestic abuse experiences and the potential for technology Tech Vs Abuse
  • Using Twitter data for social research Demos
  • Data visualisation as a tool for research communication - Nesta data visualisation and Women’s Aid Map
  • Data journalism and data storytelling - Guardian reading the riots
  • An online games to shift perspective on a social problem - Financial Times Uber Story
  • Content analysis to map trends - Nesta analysed creative skills in job adverts
  • Issue mapping online - networks of websites and people on Twitter - Warwick University Issue Mapping

Structured Interviews

When you want to gain a broad range of perspectives about specific questions

Also consider

Semi-structured interviews

A conversation with a set structure (a script of fixed questions) and specific purpose. Can be a method to undertake a survey or called a ‘directed’ interview.

  • Asking standardised questions across many participants makes data easier to analyse and compare
  • Giving participants a clear guide about what you want to learn from them
  • Topics that would be too complex to capture in a questionnaire tick box/short response
  • Respondents with limited time, who want to consider responses in advance or do not want to write
  • The quality of the interview is less dependent on the interviewer and their rapport with the interviewee

Limitations (and how to avoid or what to consider instead)

  • The structure prevents participants from bringing in other ideas (consider semi-structured interviews )
  • Whilst quicker to conduct and analyse than semi-structured interviews, they are still resource intensive and only possible to do with limited numbers of people (consider questionnaires online - see surveys )

Semi-Structured Interviews

When you want to gain in-depth insights about broad questions

Participant Observation

User research

Focus groups

Semi-Structured interviews

Conversation with a structure (set of open questions) and clear purpose. Also called directed interviews.

  • Exploring a range of perspectives on research questions, engaging experts and getting buy-in to research
  • Gaining in-depth insights about how people feel or interpret complex issues
  • Topics which are sensitive, difficult to express in writing or to articulate views about in a survey
  • Allowing participants to respond in their words, framing what they see as important

Limitations

  • Quality can depend on interviewer skills and put people on the spot (consider setting topics in advance)
  • The set-up affects the quality of engagement and discussion (consider location, relationship with the interviewee and whether you should do a face to face or Telephone/Online interview )
  • Time consuming to do, analyse and compare (consider Structured Interviews or Focus groups )
  • Can lack validity as evidence (consider Surveys )
  • Explore what people say, think and remember, not what they actually do (consider Participant Observation contextual interviews or User Research ) or shared perspectives (consider Focus groups )
  • Easy to provide too much structure and prevent open exploration of a topic (see unstructured interviews )

Unstructured Interviews

When you want to gain in-depth insights about a complex research topics

Contextual interviews

Unstructured interviews

A loosely structured open conversation guided by research topics (also called non-directed interviews)

  • Very exploratory research and broad research questions
  • Letting the participant guide the interview according to their priorities and views
  • In-depth and broad discussion about a person's expertise, experiences and opinions
  • Participant can feel like the they are not saying the ‘right’ thing (explain technique and rationale well)
  • Whilst useful for expert interviews, an unstructured approach can give the impression that the interviewer is unprepared, lacks knowledge or the research purpose is unclear (consider semi-structured interviews )
  • Interviews are longer, resource intensive and only smaller numbers are possible (consider focus groups )
  • Generates in-depth insights that are difficult to analyse and compare
  • A lack of structure can encourage participants to focus in-depth on one thing they are positive about or know very well in-depth (consider using desk research to inform the interview topics)

Guerilla Interviews

When you want to carry out user research or explore general perspectives quickly and easily

An ‘impromptu’ approach to interviewing, often talking to real people on the street or at a key site

  • Gaining immediate responses to a tool or design and insights into a problem
  • Informal method means participants can be more relaxed and open
  • Speaking to a lot of people, simply, quickly and cheaply about one key question
  • User research and user experience of interacting with digital products
  • Speaking to people for convenience (users are available in a single place and time) introduces sample bias (but you can add more targeting and profiling of participants, see the Guide to Sampling )
  • The lack of formal structure can mean that you miss important questions or insights
  • Findings are often unreliable and not generalisable because they rely on a single type of user
  • Difficult to understand complexity or gain contextual insights

Telephone / online interviews

A tool for when you want to interview people quickly and easily

Telephone or Online interviews

A tool to conduct an interview (it is not a method in itself) which is not in person/ face to face

  • Conducting interviews without the costs of travel and meeting time (often shorter)
  • Expert and stakeholder interviews, when you already know the participant well or they are short of time
  • Taking notes and looking up information whilst interviewing is less disruptive than in person, easy to record
  • Sending informed consent information and interview questions in advance
  • Can be difficult to undertake an engaging interview (hard to build rapport on the phone)
  • Often need to be shorter and put alongside other meetings

What method are you using?

  • Structured interviews : When you want to gain a broad range of perspectives about specific questions
  • Semi-structured interviews : When you want to gain in-depth insights about broad questions
  • Unstructured interviews : When you want to gain in-depth insights about a complex research topics

Further guides to Interviews : A nice overview here , including how to structure an interview

Contextual Interview

When you want to understand actions and particular experiences in-depth and in context

Ethnography

Interviews conducted with people in a situational context relevant to the research question; also known as contextual inquiry.

  • Understanding what happens, experiences and emotions whilst interacting with a tool, service or event.
  • Easier for research participants to show rather than explain, participants are active and engaged
  • Uncover what happens, what people do, how they behave in the moment, rather than how they remember this and give meaning to these responses later.
  • Open and flexible method giving depth of insights about a tool or specific interaction
  • Time and resource intensive for the researcher
  • Each context is unique - making it difficult to generalise from or to answer broader research questions about experiences (consider semi-structured interviews )
  • The researcher influences the interactions and events (consider ethnography or participant observation )

When you want to understand shared experiences and different perspectives

Focus Groups

An organised discussion with a group of participants, led by a facilitator around a few key topics

  • Gaining several perspectives about the same topic quickly
  • Research contexts and topics where familiarity between participants can generate discussion about similar experiences (or different ones) which may not arise in a one to one interview
  • When attitudes, feelings and beliefs are more likely to be revealed in social gathering and interactions
  • Including tasks and creative methods to elicit views (e.g. shared ranking of importance of statements)
  • Difficult to identify the individual view from the group view (consider semi-structured interviews )
  • Group dynamics will affect the conversation focus and participation levels of different members
  • The role of the moderator is very significant. Good levels of group leadership and interpersonal skill are required to moderate a group successfully.
  • The group set-up is an ‘artificial’ social setting and discussion (consider Participant Observation )

Participant observation

When you want to ‘learn by doing’ and observe social interactions and behaviour

Participant observation/ shadowing

The researcher immerses themselves in lives of participants as an ‘observer’ of their behaviours, practices and interactions. A type of ethnography. The people being observed know about the research.

  • Understanding everyday behaviours, interactions and practice in the context that they occur
  • Gaining an intuitive understanding of what happens in practice and what this means for those involved
  • Allowing research participants to show you what they do, when they can’t describe and remember this well
  • Establishing topics for further investigation through more structured or focused research methods
  • If explicit (shadowing for example) the research situation is still ‘artificial’
  • Your audience may not respect it and can be difficult to generalise from (consider mixed methods)
  • The quality of the data is dependent on the researchers’ skills and relationships with participants

When you want to experience social practices, interactions and behaviour with minimal influence on what happens

The systematic study of a group of people or cultures to understand behaviours and interactions. The researcher becomes an ‘insider’. It is a way of presenting research findings, as well as a method, which can include participant observation, document analysis and visual methods.

  • When you need to be an ‘insider’ to fully access the research context (such as organisational cultures)
  • Presenting how everyday behaviours, interactions and practice occur in context
  • Gaining an in-depth knowledge of your research context, participants and social relationships
  • When little is known about a research context or topic
  • If covert (at a conference or workplace for example) it has implications for informed consent
  • If explicit (shadowing for example) the researcher’s presence can affect the interactions and findings

Example use case : Ikea At Home research study to understand how people feel about their home

When you want to generate numerical data about the scale of people’s opinions and feelings

Mixed Methods

A process of systematically collecting information from a large number of different people. Responses are summarised as statistics (online surveys automate this analysis for you).

  • Targeting specific types of research participant and providing data about their views
  • If designed well, they can be quick, simple and non intrusive for research participants
  • Findings can have more credibility than other methods because of their breadth
  • Describing, measuring and understanding (a basic questionnaire)
  • Statistical analysis, modelling cause and effect (large scale survey designed to represent the population)
  • Can raise more questions about what happens and why, lack depth of insight (consider mixed methods )
  • Hard to design well and require a lot of time upfront and data skills to analyse the results
  • Low completion rates and people feel ‘over surveyed’ (consider incentives )
  • Assumes people will be honest and sufficiently aware of the research context to provide credible answers.

Further information: A great guide to creating questions here and here , build on existing data/questions here

When one research method cannot fully answer your main research question

Mixed methods

Combining different methods to answer your research questions, can be a mix of quantitative or qualitative methods or both. It may mean working with different types of data, research designs or being part of a research team (covering different research disciplines)

  • Overcoming the limitation of relying on a single research method or approach
  • Triangulating findings (i.e. using an additional method) can give them more validity
  • Accessing different types of research participants
  • A more holistic understanding about how, why and the extent to which something happens
  • Answering different types of research questions about frequency and perceptions
  • Giving findings more validity and influence because of the range of data and insights
  • Requires a broader range of skills and more time to deliver, analyse and report on
  • Research design must have strong sequencing (when each method is used and analysed , why) to make the most of a mixed methods approach - not always possible in a tight timescale or short research project

User Research

When you want to learn about people’s needs, behaviours and motivations for using a service

Service Design

S emi-Structured Interviews

Usability testing

A research approach employed to understand users and their needs, motivations and behaviours, primarily to inform service design.

  • User-centered design processes which look to ensure services meet the needs of their audience
  • Gaining specific insights into how a person interacts with a digital tool or service
  • Exploring general needs, behaviours and motivations for a specific target group using a range of services
  • Focus on a tool or service can prevent wider analysis, relevance and applicability
  • Research can lack credibility due to small numbers, set up, documentation (often highly specific focus)
  • Can overlook those who do not use a service for a whole range of reasons

What method?

  • User research involves any method which looks at who users are, the problems they face, what they are trying to do and how they use existing services. This can create user personas, user journeys and user experience maps. It largely includes qualitative research methods.

When you want to design a service to meet people’s needs, including planning, organising, infrastructure, communication and components)

A research approach employed in the activity of planning and organising of people, infrastructure, communication and material components of a service, in order to improve quality and interaction.

  • Gaining a holistic picture of all components (infrastructure, people, organisations, culture) affecting how a person interacts with a service
  • Service design often begins with user research but participants in research include all those involved in delivering (not just using) a service, such as employees and stakeholders in an organisation as well as looking at the context and system which affect how a service works and its effectiveness

Content analysis

When you want to understand public discourse through secondary or online data

A systematic process of classifying and interpreting documents, text or images to analyse key discourses (their meaning) or to quantify patterns (such as word frequencies). This can be done manually or it can be automated.

  • Exploring the focus of messages, text or imagery and change over time
  • Secondary data sources, such as archives, online social media data (such as Tweets) and news articles
  • Gaining a qualitative or quantitative insights about key messages
  • Focuses on public and documented interpretations of events and experiences
  • Documents are not exhaustive and not all are accessible (or available online/freely)
  • Qualitative coding is time intensive to manually classify, reliant on researcher interpretation
  • Automated coding for key words can miss nuances and difficult to produce meaningful findings

When you want to engage stakeholders in research, generate ideas or codesign solutions

Also consider:

A tool to undertake research. It is an interactive session, often taking a full day, in which research participants sor stakeholders work intensively on an issue or question. The process can combine elements of qualitative research, brainstorming or problem solving.

  • Engaging stakeholders - building empathy with and understanding of research findings
  • Understanding problems or prototyping solutions, linked to user research and service design approaches
  • Participatory research, allowing participants to shape agendas and outcomes
  • Creative, collaborative and engaging activities to build rapport and understanding with participants
  • Participatory design, enabling participants to co-design solutions which work for them
  • Highly dependent on the right people attending and the facilitation skills
  • Can be a lot of time and effort to coordinate a workshop effectively and analyse findings
  • The immersive and collaborative environment makes it difficult to document effectively
  • Collaborative solutions may duplicate existing problems or solutions

When you want to test prototypes or learn about problems with an existing service

A user research method where you watch participants try to complete specific tasks using your service. Moderated testing involve interaction with the research participant, asking them to explain what they are doing, thinking and feeling. Unmoderated testing is completed alone by the participant.

  • Identify any usability issues with a digital service - for example, problems with the language or layout
  • Seeing if users understand what they need to do in order to complete designated tasks
  • Generating ideas to improve a prototype of existing digital service
  • Assessing user experience
  • Focus is not on ‘natural’ use (consider contextual interviews , participant observation , ethnography )
  • Data is about a specific design and interaction with a tool at that moment
  • Findings cannot be generalised or applicable more broadly to understand users and behaviours

Reference management. Clean and simple.

How to make a scientific presentation

How to make a scientific presentation

Scientific presentation outlines

Questions to ask yourself before you write your talk, 1. how much time do you have, 2. who will you speak to, 3. what do you want the audience to learn from your talk, step 1: outline your presentation, step 2: plan your presentation slides, step 3: make the presentation slides, slide design, text elements, animations and transitions, step 4: practice your presentation, final thoughts, frequently asked questions about preparing scientific presentations, related articles.

A good scientific presentation achieves three things: you communicate the science clearly, your research leaves a lasting impression on your audience, and you enhance your reputation as a scientist.

But, what is the best way to prepare for a scientific presentation? How do you start writing a talk? What details do you include, and what do you leave out?

It’s tempting to launch into making lots of slides. But, starting with the slides can mean you neglect the narrative of your presentation, resulting in an overly detailed, boring talk.

The key to making an engaging scientific presentation is to prepare the narrative of your talk before beginning to construct your presentation slides. Planning your talk will ensure that you tell a clear, compelling scientific story that will engage the audience.

In this guide, you’ll find everything you need to know to make a good oral scientific presentation, including:

  • The different types of oral scientific presentations and how they are delivered;
  • How to outline a scientific presentation;
  • How to make slides for a scientific presentation.

Our advice results from delving into the literature on writing scientific talks and from our own experiences as scientists in giving and listening to presentations. We provide tips and best practices for giving scientific talks in a separate post.

There are two main types of scientific talks:

  • Your talk focuses on a single study . Typically, you tell the story of a single scientific paper. This format is common for short talks at contributed sessions in conferences.
  • Your talk describes multiple studies. You tell the story of multiple scientific papers. It is crucial to have a theme that unites the studies, for example, an overarching question or problem statement, with each study representing specific but different variations of the same theme. Typically, PhD defenses, invited seminars, lectures, or talks for a prospective employer (i.e., “job talks”) fall into this category.

➡️ Learn how to prepare an excellent thesis defense

The length of time you are allotted for your talk will determine whether you will discuss a single study or multiple studies, and which details to include in your story.

The background and interests of your audience will determine the narrative direction of your talk, and what devices you will use to get their attention. Will you be speaking to people specializing in your field, or will the audience also contain people from disciplines other than your own? To reach non-specialists, you will need to discuss the broader implications of your study outside your field.

The needs of the audience will also determine what technical details you will include, and the language you will use. For example, an undergraduate audience will have different needs than an audience of seasoned academics. Students will require a more comprehensive overview of background information and explanations of jargon but will need less technical methodological details.

Your goal is to speak to the majority. But, make your talk accessible to the least knowledgeable person in the room.

This is called the thesis statement, or simply the “take-home message”. Having listened to your talk, what message do you want the audience to take away from your presentation? Describe the main idea in one or two sentences. You want this theme to be present throughout your presentation. Again, the thesis statement will depend on the audience and the type of talk you are giving.

Your thesis statement will drive the narrative for your talk. By deciding the take-home message you want to convince the audience of as a result of listening to your talk, you decide how the story of your talk will flow and how you will navigate its twists and turns. The thesis statement tells you the results you need to show, which subsequently tells you the methods or studies you need to describe, which decides the angle you take in your introduction.

➡️ Learn how to write a thesis statement

The goal of your talk is that the audience leaves afterward with a clear understanding of the key take-away message of your research. To achieve that goal, you need to tell a coherent, logical story that conveys your thesis statement throughout the presentation. You can tell your story through careful preparation of your talk.

Preparation of a scientific presentation involves three separate stages: outlining the scientific narrative, preparing slides, and practicing your delivery. Making the slides of your talk without first planning what you are going to say is inefficient.

Here, we provide a 4 step guide to writing your scientific presentation:

  • Outline your presentation
  • Plan your presentation slides
  • Make the presentation slides
  • Practice your presentation

4 steps for making a scientific presentation.

Writing an outline helps you consider the key pieces of your talk and how they fit together from the beginning, preventing you from forgetting any important details. It also means you avoid changing the order of your slides multiple times, saving you time.

Plan your talk as discrete sections. In the table below, we describe the sections for a single study talk vs. a talk discussing multiple studies:

The following tips apply when writing the outline of a single study talk. You can easily adapt this framework if you are writing a talk discussing multiple studies.

Introduction: Writing the introduction can be the hardest part of writing a talk. And when giving it, it’s the point where you might be at your most nervous. But preparing a good, concise introduction will settle your nerves.

The introduction tells the audience the story of why you studied your topic. A good introduction succinctly achieves four things, in the following order.

  • It gives a broad perspective on the problem or topic for people in the audience who may be outside your discipline (i.e., it explains the big-picture problem motivating your study).
  • It describes why you did the study, and why the audience should care.
  • It gives a brief indication of how your study addressed the problem and provides the necessary background information that the audience needs to understand your work.
  • It indicates what the audience will learn from the talk, and prepares them for what will come next.

A good introduction not only gives the big picture and motivations behind your study but also concisely sets the stage for what the audience will learn from the talk (e.g., the questions your work answers, and/or the hypotheses that your work tests). The end of the introduction will lead to a natural transition to the methods.

Give a broad perspective on the problem. The easiest way to start with the big picture is to think of a hook for the first slide of your presentation. A hook is an opening that gets the audience’s attention and gets them interested in your story. In science, this might take the form of a why, or a how question, or it could be a statement about a major problem or open question in your field. Other examples of hooks include quotes, short anecdotes, or interesting statistics.

Why should the audience care? Next, decide on the angle you are going to take on your hook that links to the thesis of your talk. In other words, you need to set the context, i.e., explain why the audience should care. For example, you may introduce an observation from nature, a pattern in experimental data, or a theory that you want to test. The audience must understand your motivations for the study.

Supplementary details. Once you have established the hook and angle, you need to include supplementary details to support them. For example, you might state your hypothesis. Then go into previous work and the current state of knowledge. Include citations of these studies. If you need to introduce some technical methodological details, theory, or jargon, do it here.

Conclude your introduction. The motivation for the work and background information should set the stage for the conclusion of the introduction, where you describe the goals of your study, and any hypotheses or predictions. Let the audience know what they are going to learn.

Methods: The audience will use your description of the methods to assess the approach you took in your study and to decide whether your findings are credible. Tell the story of your methods in chronological order. Use visuals to describe your methods as much as possible. If you have equations, make sure to take the time to explain them. Decide what methods to include and how you will show them. You need enough detail so that your audience will understand what you did and therefore can evaluate your approach, but avoid including superfluous details that do not support your main idea. You want to avoid the common mistake of including too much data, as the audience can read the paper(s) later.

Results: This is the evidence you present for your thesis. The audience will use the results to evaluate the support for your main idea. Choose the most important and interesting results—those that support your thesis. You don’t need to present all the results from your study (indeed, you most likely won’t have time to present them all). Break down complex results into digestible pieces, e.g., comparisons over multiple slides (more tips in the next section).

Summary: Summarize your main findings. Displaying your main findings through visuals can be effective. Emphasize the new contributions to scientific knowledge that your work makes.

Conclusion: Complete the circle by relating your conclusions to the big picture topic in your introduction—and your hook, if possible. It’s important to describe any alternative explanations for your findings. You might also speculate on future directions arising from your research. The slides that comprise your conclusion do not need to state “conclusion”. Rather, the concluding slide title should be a declarative sentence linking back to the big picture problem and your main idea.

It’s important to end well by planning a strong closure to your talk, after which you will thank the audience. Your closing statement should relate to your thesis, perhaps by stating it differently or memorably. Avoid ending awkwardly by memorizing your closing sentence.

By now, you have an outline of the story of your talk, which you can use to plan your slides. Your slides should complement and enhance what you will say. Use the following steps to prepare your slides.

  • Write the slide titles to match your talk outline. These should be clear and informative declarative sentences that succinctly give the main idea of the slide (e.g., don’t use “Methods” as a slide title). Have one major idea per slide. In a YouTube talk on designing effective slides , researcher Michael Alley shows examples of instructive slide titles.
  • Decide how you will convey the main idea of the slide (e.g., what figures, photographs, equations, statistics, references, or other elements you will need). The body of the slide should support the slide’s main idea.
  • Under each slide title, outline what you want to say, in bullet points.

In sum, for each slide, prepare a title that summarizes its major idea, a list of visual elements, and a summary of the points you will make. Ensure each slide connects to your thesis. If it doesn’t, then you don’t need the slide.

Slides for scientific presentations have three major components: text (including labels and legends), graphics, and equations. Here, we give tips on how to present each of these components.

  • Have an informative title slide. Include the names of all coauthors and their affiliations. Include an attractive image relating to your study.
  • Make the foreground content of your slides “pop” by using an appropriate background. Slides that have white backgrounds with black text work well for small rooms, whereas slides with black backgrounds and white text are suitable for large rooms.
  • The layout of your slides should be simple. Pay attention to how and where you lay the visual and text elements on each slide. It’s tempting to cram information, but you need lots of empty space. Retain space at the sides and bottom of your slides.
  • Use sans serif fonts with a font size of at least 20 for text, and up to 40 for slide titles. Citations can be in 14 font and should be included at the bottom of the slide.
  • Use bold or italics to emphasize words, not underlines or caps. Keep these effects to a minimum.
  • Use concise text . You don’t need full sentences. Convey the essence of your message in as few words as possible. Write down what you’d like to say, and then shorten it for the slide. Remove unnecessary filler words.
  • Text blocks should be limited to two lines. This will prevent you from crowding too much information on the slide.
  • Include names of technical terms in your talk slides, especially if they are not familiar to everyone in the audience.
  • Proofread your slides. Typos and grammatical errors are distracting for your audience.
  • Include citations for the hypotheses or observations of other scientists.
  • Good figures and graphics are essential to sustain audience interest. Use graphics and photographs to show the experiment or study system in action and to explain abstract concepts.
  • Don’t use figures straight from your paper as they may be too detailed for your talk, and details like axes may be too small. Make new versions if necessary. Make them large enough to be visible from the back of the room.
  • Use graphs to show your results, not tables. Tables are difficult for your audience to digest! If you must present a table, keep it simple.
  • Label the axes of graphs and indicate the units. Label important components of graphics and photographs and include captions. Include sources for graphics that are not your own.
  • Explain all the elements of a graph. This includes the axes, what the colors and markers mean, and patterns in the data.
  • Use colors in figures and text in a meaningful, not random, way. For example, contrasting colors can be effective for pointing out comparisons and/or differences. Don’t use neon colors or pastels.
  • Use thick lines in figures, and use color to create contrasts in the figures you present. Don’t use red/green or red/blue combinations, as color-blind audience members can’t distinguish between them.
  • Arrows or circles can be effective for drawing attention to key details in graphs and equations. Add some text annotations along with them.
  • Write your summary and conclusion slides using graphics, rather than showing a slide with a list of bullet points. Showing some of your results again can be helpful to remind the audience of your message.
  • If your talk has equations, take time to explain them. Include text boxes to explain variables and mathematical terms, and put them under each term in the equation.
  • Combine equations with a graphic that shows the scientific principle, or include a diagram of the mathematical model.
  • Use animations judiciously. They are helpful to reveal complex ideas gradually, for example, if you need to make a comparison or contrast or to build a complicated argument or figure. For lists, reveal one bullet point at a time. New ideas appearing sequentially will help your audience follow your logic.
  • Slide transitions should be simple. Silly ones distract from your message.
  • Decide how you will make the transition as you move from one section of your talk to the next. For example, if you spend time talking through details, provide a summary afterward, especially in a long talk. Another common tactic is to have a “home slide” that you return to multiple times during the talk that reinforces your main idea or message. In her YouTube talk on designing effective scientific presentations , Stanford biologist Susan McConnell suggests using the approach of home slides to build a cohesive narrative.

To deliver a polished presentation, it is essential to practice it. Here are some tips.

  • For your first run-through, practice alone. Pay attention to your narrative. Does your story flow naturally? Do you know how you will start and end? Are there any awkward transitions? Do animations help you tell your story? Do your slides help to convey what you are saying or are they missing components?
  • Next, practice in front of your advisor, and/or your peers (e.g., your lab group). Ask someone to time your talk. Take note of their feedback and the questions that they ask you (you might be asked similar questions during your real talk).
  • Edit your talk, taking into account the feedback you’ve received. Eliminate superfluous slides that don’t contribute to your takeaway message.
  • Practice as many times as needed to memorize the order of your slides and the key transition points of your talk. However, don’t try to learn your talk word for word. Instead, memorize opening and closing statements, and sentences at key junctures in the presentation. Your presentation should resemble a serious but spontaneous conversation with the audience.
  • Practicing multiple times also helps you hone the delivery of your talk. While rehearsing, pay attention to your vocal intonations and speed. Make sure to take pauses while you speak, and make eye contact with your imaginary audience.
  • Make sure your talk finishes within the allotted time, and remember to leave time for questions. Conferences are particularly strict on run time.
  • Anticipate questions and challenges from the audience, and clarify ambiguities within your slides and/or speech in response.
  • If you anticipate that you could be asked questions about details but you don’t have time to include them, or they detract from the main message of your talk, you can prepare slides that address these questions and place them after the final slide of your talk.

➡️ More tips for giving scientific presentations

An organized presentation with a clear narrative will help you communicate your ideas effectively, which is essential for engaging your audience and conveying the importance of your work. Taking time to plan and outline your scientific presentation before writing the slides will help you manage your nerves and feel more confident during the presentation, which will improve your overall performance.

A good scientific presentation has an engaging scientific narrative with a memorable take-home message. It has clear, informative slides that enhance what the speaker says. You need to practice your talk many times to ensure you deliver a polished presentation.

First, consider who will attend your presentation, and what you want the audience to learn about your research. Tailor your content to their level of knowledge and interests. Second, create an outline for your presentation, including the key points you want to make and the evidence you will use to support those points. Finally, practice your presentation several times to ensure that it flows smoothly and that you are comfortable with the material.

Prepare an opening that immediately gets the audience’s attention. A common device is a why or a how question, or a statement of a major open problem in your field, but you could also start with a quote, interesting statistic, or case study from your field.

Scientific presentations typically either focus on a single study (e.g., a 15-minute conference presentation) or tell the story of multiple studies (e.g., a PhD defense or 50-minute conference keynote talk). For a single study talk, the structure follows the scientific paper format: Introduction, Methods, Results, Summary, and Conclusion, whereas the format of a talk discussing multiple studies is more complex, but a theme unifies the studies.

Ensure you have one major idea per slide, and convey that idea clearly (through images, equations, statistics, citations, video, etc.). The slide should include a title that summarizes the major point of the slide, should not contain too much text or too many graphics, and color should be used meaningfully.

presentation on research methods

University of Northern Iowa Home

  • Chapter Seven: Presenting Your Results

This chapter serves as the culmination of the previous chapters, in that it focuses on how to present the results of one's study, regardless of the choice made among the three methods. Writing in academics has a form and style that you will want to apply not only to report your own research, but also to enhance your skills at reading original research published in academic journals. Beyond the basic academic style of report writing, there are specific, often unwritten assumptions about how quantitative, qualitative, and critical/rhetorical studies should be organized and the information they should contain. This chapter discusses how to present your results in writing, how to write accessibly, how to visualize data, and how to present your results in person.  

  • Chapter One: Introduction
  • Chapter Two: Understanding the distinctions among research methods
  • Chapter Three: Ethical research, writing, and creative work
  • Chapter Four: Quantitative Methods (Part 1)
  • Chapter Four: Quantitative Methods (Part 2 - Doing Your Study)
  • Chapter Four: Quantitative Methods (Part 3 - Making Sense of Your Study)
  • Chapter Five: Qualitative Methods (Part 1)
  • Chapter Five: Qualitative Data (Part 2)
  • Chapter Six: Critical / Rhetorical Methods (Part 1)
  • Chapter Six: Critical / Rhetorical Methods (Part 2)

Written Presentation of Results

Once you've gone through the process of doing communication research – using a quantitative, qualitative, or critical/rhetorical methodological approach – the final step is to  communicate  it.

The major style manuals (the APA Manual, the MLA Handbook, and Turabian) are very helpful in documenting the structure of writing a study, and are highly recommended for consultation. But, no matter what style manual you may use, there are some common elements to the structure of an academic communication research paper.

Title Page :

This is simple: Your Paper's Title, Your Name, Your Institutional Affiliation (e.g., University), and the Date, each on separate lines, centered on the page. Try to make your title both descriptive (i.e., it gives the reader an idea what the study is about) and interesting (i.e., it is catchy enough to get one's attention).

For example, the title, "The uncritical idealization of a compensated psychopath character in a popular book series," would not be an inaccurate title for a published study, but it is rather vague and exceedingly boring. That study's author fortunately chose the title, "A boyfriend to die for: Edward Cullen as compensated psychopath in Stephanie Meyer's  Twilight ," which is more precisely descriptive, and much more interesting (Merskin, 2011). The use of the colon in academic titles can help authors accomplish both objectives: a catchy but relevant phrase, followed by a more clear explanation of the article's topic.

In some instances, you might be asked to write an abstract, which is a summary of your paper that can range in length from 75 to 250 words. If it is a published paper, it is useful to include key search terms in this brief description of the paper (the title may already have a few of these terms as well). Although this may be the last thing your write, make it one of the best things you write, because this may be the first thing your audience reads about the paper (and may be the only thing read if it is written badly). Summarize the problem/research question, your methodological approach, your results and conclusions, and the significance of the paper in the abstract.

Quantitative and qualitative studies will most typically use the rest of the section titles noted below. Critical/rhetorical studies will include many of the same steps, but will often have different headings. For example, a critical/rhetorical paper will have an introduction, definition of terms, and literature review, followed by an analysis (often divided into sections by areas of investigation) and ending with a conclusion/implications section. Because critical/rhetorical research is much more descriptive, the subheadings in such a paper are often times not generic subheads like "literature review," but instead descriptive subheadings that apply to the topic at hand, as seen in the schematic below. Because many journals expect the article to follow typical research paper headings of introduction, literature review, methods, results, and discussion, we discuss these sections briefly next.

Image removed.

Introduction:

As you read social scientific journals (see chapter 1 for examples), you will find that they tend to get into the research question quickly and succinctly. Journal articles from the humanities tradition tend to be more descriptive in the introduction. But, in either case, it is good to begin with some kind of brief anecdote that gets the reader engaged in your work and lets the reader understand why this is an interesting topic. From that point, state your research question, define the problem (see Chapter One) with an overview of what we do and don't know, and finally state what you will do, or what you want to find out. The introduction thus builds the case for your topic, and is the beginning of building your argument, as we noted in chapter 1.

By the end of the Introduction, the reader should know what your topic is, why it is a significant communication topic, and why it is necessary that you investigate it (e.g., it could be there is gap in literature, you will conduct valuable exploratory research, or you will provide a new model for solving some professional or social problem).

Literature Review:

The literature review summarizes and organizes the relevant books, articles, and other research in this area. It sets up both quantitative and qualitative studies, showing the need for the study. For critical/rhetorical research, the literature review often incorporates the description of the historical context and heuristic vocabulary, with key terms defined in this section of the paper. For more detail on writing a literature review, see Appendix 1.

The methods of your paper are the processes that govern your research, where the researcher explains what s/he did to solve the problem. As you have seen throughout this book, in communication studies, there are a number of different types of research methods. For example, in quantitative research, one might conduct surveys, experiments, or content analysis. In qualitative research, one might instead use interviews and observations. Critical/rhetorical studies methods are more about the interpretation of texts or the study of popular culture as communication. In creative communication research, the method may be an interpretive performance studies or filmmaking. Other methods used sometimes alone, or in combination with other methods, include legal research, historical research, and political economy research.

In quantitative and qualitative research papers, the methods will be most likely described according to the APA manual standards. At the very least, the methods will include a description of participants, data collection, and data analysis, with specific details on each of these elements. For example, in an experiment, the researcher will describe the number of participants, the materials used, the design of the experiment, the procedure of the experiment, and what statistics will be used to address the hypotheses/research questions.

Critical/rhetorical researchers rarely have a specific section called "methods," as opposed to quantitative and qualitative researchers, but rather demonstrate the method they use for analysis throughout the writing of their piece.

Helping your reader understand the methods you used for your study is important not only for your own study's credibility, but also for possible replication of your study by other researchers. A good guideline to keep in mind is  transparency . You want to be as clear as possible in describing the decisions you made in designing your study, gathering and analyzing your data so that the reader can retrace your steps and understand how you came to the conclusions you formed. A research study can be very good, but if it is not clearly described so that others can see how the results were determined or obtained, then the quality of the study and its potential contributions are lost.

After you completed your study, your findings will be listed in the results section. Particularly in a quantitative study, the results section is for revisiting your hypotheses and reporting whether or not your results supported them, and the statistical significance of the results. Whether your study supported or contradicted your hypotheses, it's always helpful to fully report what your results were. The researcher usually organizes the results of his/her results section by research question or hypothesis, stating the results for each one, using statistics to show how the research question or hypothesis was answered in the study.

The qualitative results section also may be organized by research question, but usually is organized by themes which emerged from the data collected. The researcher provides rich details from her/his observations and interviews, with detailed quotations provided to illustrate the themes identified. Sometimes the results section is combined with the discussion section.

Critical/rhetorical researchers would include their analysis often with different subheadings in what would be considered a "results" section, yet not labeled specifically this way.

Discussion:

In the discussion section, the researcher gives an appraisal of the results. Here is where the researcher considers the results, particularly in light of the literature review, and explains what the findings mean. If the results confirmed or corresponded with the findings of other literature, then that should be stated. If the results didn't support the findings of previous studies, then the researcher should develop an explanation of why the study turned out this way. Sometimes, this section is called a "conclusion" by researchers.

References:

In this section, all of the literature cited in the text should have full references in alphabetical order. Appendices: Appendix material includes items like questionnaires used in the study, photographs, documents, etc. An alphabetical letter is assigned for each piece (e.g. Appendix A, Appendix B), with a second line of title describing what the appendix contains (e.g. Participant Informed Consent, or  New York Times  Speech Coverage). They should be organized consistently with the order in which they are referenced in the text of the paper. The page numbers for appendices are consecutive with the paper and reference list.

Tables/Figures:

Tables and figures are referenced in the text, but included at the end of the study and numbered consecutively. (Check with your professor; some like to have tables and figures inserted within the paper's main text.) Tables generally are data in a table format, whereas figures are diagrams (such as a pie chart) and drawings (such as a flow chart).

Accessible Writing

As you may have noticed, academic writing does have a language (e.g., words like heuristic vocabulary and hypotheses) and style (e.g., literature reviews) all its own. It is important to engage in that language and style, and understand how to use it to  communicate effectively in an academic context . Yet, it is also important to remember that your analyses and findings should also be written to be accessible. Writers should avoid excessive jargon, or—even worse—deploying jargon to mask an incomplete understanding of a topic.

The scourge of excessive jargon in academic writing was the target of a famous hoax in 1996. A New York University physics professor submitted an article, " Transgressing the Boundaries: Toward a Transformative Hermeneutics of Quantum Gravity ," to a special issue of the academic journal  Social Text  devoted to science and postmodernism. The article was designed to point out how dense academic jargon can sometimes mask sloppy thinking. As the professor, Alan Sokal, had expected, the article was published. One sample sentence from the article reads:

It has thus become increasingly apparent that physical "reality", no less than social "reality", is at bottom a social and linguistic construct; that scientific "knowledge", far from being objective, reflects and encodes the dominant ideologies and power relations of the culture that produced it; that the truth claims of science are inherently theory-laden and self-referential; and consequently, that the discourse of the scientific community, for all its undeniable value, cannot assert a privileged epistemological status with respect to counter-hegemonic narratives emanating from dissident or marginalized communities. (Sokal, 1996. pp. 217-218)

According to the journal's editor, about six reviewers had read the article but didn't suspect that it was phony. A public debate ensued after Sokal revealed his hoax. Sokal said he worried that jargon and intellectual fads cause academics to lose contact with the real world and "undermine the prospect for progressive social critique" ( Scott, 1996 ). The APA Manual recommends to avoid using technical vocabulary where it is not needed or relevant or if the technical language is overused, thus becoming jargon. In short, the APA argues that "scientific jargon...grates on the reader, encumbers the communication of information, and wastes space" (American Psychological Association, 2010, p. 68).

Data Visualization

Images and words have long existed on the printed page of manuscripts, yet, until recently, relatively few researchers possessed the resources to effectively combine images combined with words (Tufte, 1990, 1983). Communication scholars are only now becoming aware of this dimension in research as computer technologies have made it possible for many people to produce and publish multimedia presentations.

Although visuals may seem to be anathema to the primacy of the written word in research, they are a legitimate way, and at times the best way, to present ideas. Visual scholar Lester Faigley et al. (2004) explains how data visualizations have become part of our daily lives:

Visualizations can shed light on research as well. London-based David McCandless specializes in visualizing interesting research questions, or in his words "the questions I wanted answering" (2009, p. 7). His images include a graph of the  peak times of the year for breakups  (based on Facebook status updates), a  radiation dosage chart , and some  experiments with the Google Ngram Viewer , which charts the appearance of keywords in millions of books over hundreds of years.

The  public domain image  below creatively maps U.S. Census data of the outflow of people from California to other states between 1995 and 2000.

Image removed.

Visualizing one's research is possible in multiple ways. A simple technology, for example, is to enter data into a spreadsheet such as Excel, and select  Charts  or  SmartArt  to generate graphics. A number of free web tools can also transform raw data into useful charts and graphs.  Many Eyes , an open source data visualization tool (sponsored by IBM Research), says its goal "is to 'democratize' visualization and to enable a new social kind of data analysis" (IBM, 2011). Another tool,  Soundslides , enables users to import images and audio to create a photographic slideshow, while the program handles all of the background code. Other tools, often open source and free, can help visual academic research into interactive maps; interactive, image-based timelines; interactive charts; and simple 2-D and 3-D animations. Adobe Creative Suite (which includes popular software like Photoshop) is available on most computers at universities, but open source alternatives exist as well.  Gimp  is comparable to Photoshop, and it is free and relatively easy to use.

One online performance studies journal,  Liminalities , is an excellent example of how "research" can be more than just printed words. In each issue, traditional academic essays and book reviews are often supported photographs, while other parts of an issue can include video, audio, and multimedia contributions. The journal, founded in 2005, treats performance itself as a methodology, and accepts contribution in html, mp3, Quicktime, and Flash formats.

For communication researchers, there is also a vast array of visual digital archives available online. Many of these archives are located at colleges and universities around the world, where digital librarians are spearheading a massive effort to make information—print, audio, visual, and graphic—available to the public as part of a global information commons. For example, the University of Iowa has a considerable digital archive including historical photos documenting American railroads and a database of images related to geoscience. The University of Northern Iowa has a growing Special Collections Unit that includes digital images of every UNI Yearbook between 1905 and 1923 and audio files of UNI jazz band performances. Researchers at he University of Michigan developed  OAIster , a rich database that has joined thousands of digital archives in one searchable interface. Indeed, virtually every academic library is now digitizing all types of media, not just texts, and making them available for public viewing and, when possible, for use in presenting research. In addition to academic collections, the  Library of Congress  and the  National Archives  offer an ever-expanding range of downloadable media; commercial, user-generated databases such as Flickr, Buzznet, YouTube and Google Video offer a rich resource of images that are often free of copyright constraints (see Chapter 3 about Creative Commons licenses) and nonprofit endeavors, such as the  Internet Archive , contain a formidable collection of moving images, still photographs, audio files (including concert recordings), and open source software.

Presenting your Work in Person

As Communication students, it's expected that you are not only able to communicate your research project in written form but also in person.

Before you do any oral presentation, it's good to have a brief "pitch" ready for anyone who asks you about your research. The pitch is routine in Hollywood: a screenwriter has just a few minutes to present an idea to a producer. Although your pitch will be more sophisticated than, say, " Snakes on a Plane " (which unfortunately was made into a movie), you should in just a few lines be able to explain the gist of your research to anyone who asks. Developing this concise description, you will have some practice in distilling what might be a complicated topic into one others can quickly grasp.

Oral presentation

In most oral presentations of research, whether at the end of a semester, or at a research symposium or conference, you will likely have just 10 to 20 minutes. This is probably not enough time to read the entire paper aloud, which is not what you should do anyway if you want people to really listen (although, unfortunately some make this mistake). Instead, the point of the presentation should be to present your research in an interesting manner so the listeners will want to read the whole thing. In the presentation, spend the least amount of time on the literature review (a very brief summary will suffice) and the most on your own original contribution. In fact, you may tell your audience that you are only presenting on one portion of the paper, and that you would be happy to talk more about your research and findings in the question and answer session that typically follows. Consider your presentation the beginning of a dialogue between you and the audience. Your tone shouldn't be "I have found everything important there is to find, and I will cram as much as I can into this presentation," but instead "I found some things you will find interesting, but I realize there is more to find."

Turabian (2007) has a helpful chapter on presenting research. Most important, she emphasizes, is to remember that your audience members are listeners, not readers. Thus, recall the lessons on speech making in your college oral communication class. Give an introduction, tell them what the problem is, and map out what you will present to them. Organize your findings into a few points, and don't get bogged down in minutiae. (The minutiae are for readers to find if they wish, not for listeners to struggle through.) PowerPoint slides are acceptable, but don't read them. Instead, create an outline of a few main points, and practice your presentation.

Turabian  suggests an introduction of not more than three minutes, which should include these elements:

  • The research topic you will address (not more than a minute).
  • Your research question (30 seconds or less)
  • An answer to "so what?" – explaining the relevance of your research (30 seconds)
  • Your claim, or argument (30 seconds or less)
  • The map of your presentation structure (30 seconds or less)

As Turabian (2007) suggests, "Rehearse your introduction, not only to get it right, but to be able to look your audience in the eye as you give it. You can look down at notes later" (p. 125).

Poster presentation

In some symposiums and conferences, you may be asked to present at a "poster" session. Instead of presenting on a panel of 4-5 people to an audience, a poster presenter is with others in a large hall or room, and talks one-on-one with visitors who look at the visual poster display of the research. As in an oral presentation, a poster highlights just the main point of the paper. Then, if visitors have questions, the author can informally discuss her/his findings.

To attract attention, poster presentations need to be nicely designed, or in the words of an advertising professor who schedules poster sessions at conferences, "be big, bold, and brief" ( Broyles , 2011). Large type (at least 18 pt.), graphics, tables, and photos are recommended.

Image removed.

A poster presentation session at a conference, by David Eppstein (Own work) [CC-BY-SA-3.0 ( www.creativecommons.org/licenses/by-sa/3.0 )], via Wikimedia Commons]

The Association for Education in Journalism and Mass Communication (AEJMC) has a  template for making an effective poster presentation . Many universities, copy shops, and Internet services also have large-scale printers, to print full-color research poster designs that can be rolled up and transported in a tube.

Judging Others' Research

After taking this course, you should have a basic knowledge of research methods. There will still be some things that may mystify you as a reader of other's research. For example, you may not be able to interpret the coefficients for statistical significance, or make sense of a complex structural equation. Some specialized vocabulary may still be difficult.

But, you should understand how to critically review research. For example, imagine you have been asked to do a blind (i.e., the author's identity is concealed) "peer review" of communication research for acceptance to a conference, or publication in an academic journal. For most  conferences  and  journals , submissions are made online, where editors can manage the flow and assign reviews to papers. The evaluations reviewers make are based on the same things that we have covered in this book. For example, the conference for the AEJMC ask reviewers to consider (on a five-point scale, from Excellent to Poor) a number of familiar research dimensions, including the paper's clarity of purpose, literature review, clarity of research method, appropriateness of research method, evidence presented clearly, evidence supportive of conclusions, general writing and organization, and the significance of the contribution to the field.

Beyond academia, it is likely you will more frequently apply the lessons of research methods as a critical consumer of news, politics, and everyday life. Just because some expert cites a number or presents a conclusion doesn't mean it's automatically true. John Allen Paulos, in his book  A Mathematician reads the newspaper , suggests some basic questions we can ask. "If statistics were presented, how were they obtained? How confident can we be of them? Were they derived from a random sample or from a collection of anecdotes? Does the correlation suggest a causal relationship, or is it merely a coincidence?" (1997, p. 201).

Through the study of research methods, we have begun to build a critical vocabulary and understanding to ask good questions when others present "knowledge." For example, if Candidate X won a straw poll in Iowa, does that mean she'll get her party's nomination? If Candidate Y wins an open primary in New Hampshire, does that mean he'll be the next president? If Candidate Z sheds a tear, does it matter what the context is, or whether that candidate is a man or a woman? What we learn in research methods about validity, reliability, sampling, variables, research participants, epistemology, grounded theory, and rhetoric, we can consider whether the "knowledge" that is presented in the news is a verifiable fact, a sound argument, or just conjecture.

American Psychological Association (2010). Publication manual of the American Psychological Association (6th ed.). Washington, DC: Author.

Broyles, S. (2011). "About poster sessions." AEJMC.  http://www.aejmc.org/home/2013/01/about-poster-sessions/ .

Faigley, L., George, D., Palchik, A., Selfe, C. (2004).  Picturing texts . New York: W.W. Norton & Company.

IBM (2011). Overview of Many Eyes.  http://www.research.ibm.com/social/projects_manyeyes.shtml .

McCandless, D. (2009).  The visual miscellaneum . New York: Collins Design.

Merskin, D. (2011). A boyfriend to die for: Edward Cullen as compensated psychopath in Stephanie Meyer's  Twilight. Journal of Communication Inquiry  35: 157-178. doi:10.1177/0196859911402992

Paulos, J. A. (1997).  A mathematician reads the newspaper . New York: Anchor.

Scott, J. (1996, May 18). Postmodern gravity deconstructed, slyly.  New York Times , http://www.nytimes.com/books/98/11/15/specials/sokal-text.html .

Sokal, A. (1996). Transgressing the boundaries: towards a transformative hermeneutics of quantum gravity.  Social Text  46/47, 217-252.

Tufte, E. R. (1990).  Envisioning information . Cheshire, CT: Graphics Press.

Tufte, E. R. (1983).  The visual display of quantitative information . Cheshire, CT: Graphics Press.

Turabian, Kate L. (2007).  A manual for writers of research papers, theses, and dissertations: Chicago style guide for students and researchers  (7th ed.). Chicago: University of Chicago Press.

  • Locations and Hours
  • UCLA Library
  • Research Guides
  • Research Tips and Tools

Advanced Research Methods

  • Presenting the Research Paper
  • What Is Research?
  • Library Research
  • Writing a Research Proposal
  • Writing the Research Paper

Writing an Abstract

Oral presentation, compiling a powerpoint.

Abstract : a short statement that describes a longer work.

  • Indicate the subject.
  • Describe the purpose of the investigation.
  • Briefly discuss the method used.
  • Make a statement about the result.

Oral presentations usually introduce a discussion of a topic or research paper. A good oral presentation is focused, concise, and interesting in order to trigger a discussion.

  • Be well prepared; write a detailed outline.
  • Introduce the subject.
  • Talk about the sources and the method.
  • Indicate if there are conflicting views about the subject (conflicting views trigger discussion).
  • Make a statement about your new results (if this is your research paper).
  • Use visual aids or handouts if appropriate.

An effective PowerPoint presentation is just an aid to the presentation, not the presentation itself .

  • Be brief and concise.
  • Focus on the subject.
  • Attract attention; indicate interesting details.
  • If possible, use relevant visual illustrations (pictures, maps, charts graphs, etc.).
  • Use bullet points or numbers to structure the text.
  • Make clear statements about the essence/results of the topic/research.
  • Don't write down the whole outline of your paper and nothing else.
  • Don't write long full sentences on the slides.
  • Don't use distracting colors, patterns, pictures, decorations on the slides.
  • Don't use too complicated charts, graphs; only those that are relatively easy to understand.
  • << Previous: Writing the Research Paper
  • Last Updated: Jan 4, 2024 12:24 PM
  • URL: https://guides.library.ucla.edu/research-methods
  • Chapter Summaries
  • Project Prep
  • Presentations
  • Chapter Summary
  • Research Topic
  • Research Questions
  • Research Methodology
  • Research Methods

Research Methods

Research Presentations

We’ll use the blog to post our recorded research presentations. While record them? Because you get to review, edit, and update if things don’t go right the first time. And this skill, of recording a research presentation, has become vital in our WFH environments.

Scholarship Presentations identify, research, and present to the class (as a narrated video with slides) a work of scholarship (articles from scholarly journals, chapters from scholarly monographs or edited collections, or other approved works) that uses a methodology and/or methods you’d consider employing in your own research project. You’ll complete two presentations on separate works of scholarship during the semester.

As part of work on your research project proposal, you’ll be reading scholarship on your topic. Select a work of scholarship that implements a methodology and/or methods that you’d consider using in your research project. Create a video presentation in which you include the following:

  • Provide publication information (author, article or chapter title, journal or book title, and other bibliographic details)
  • Summarize its contents
  • Identify its research question(s)
  • Describe the method(s) and/or methodologies that appeal to you
  • Speculate how you might use them in your own research

Tasks Required

  • Identify a work of scholarship as the focus of this assignment.
  • Develop a slide deck for the presentation; using Powerpoint or Keynote (Apple) will make this easier.
  • Write a 5-minute script for your presentation that addresses the requirements listed in the overview.
  • Narrate the presentation and save as a video.
  • Upload the video to a file or video sharing service (a YouTube unlisted video is ideal).
  • Use the embed code from YouTube (or your selected video sharing service) to embed the recording into a blog post.

For each presentation, create a new post in which you embed the video, provide a correct APA-formatted reference entry for the work of scholarship, and write a paragraph-length abstract of the article’s findings. In addition, please provide a permalink to the resource so others can access the article. Be sure to add the correct category, either Research 1 or Research 2 , to your post so it populates the correct page in the blog.

Here are some resources that may be helpful as you prepare this video presentation.

General Guidelines for Presentations

  • How to Give a Killer Presentation
  • What It Takes to Give a Great Presentation

Recording a Presentation

  • The Best Way to Record a Powerpoint Presentation

Art of Presentations

[Guide] How to Present Qualitative Research Findings in PowerPoint?

By: Author Shrot Katewa

[Guide] How to Present Qualitative Research Findings in PowerPoint?

As a researcher, it is quite pointless to do the research if we are unable to share the findings with our audience appropriately! Using PowerPoint is one of the best ways to present research outcomes. But, how does one present qualitative research findings using PowerPoint?

In order to present the qualitative research findings using PowerPoint, you need to create a robust structure for your presentation, make it engaging and visually appealing, present the patterns with explanations for it and highlight the conclusion of your research findings.

In this article, we will help you understand the structure of your presentation. Plus, we’ll share some handy tips that will make your qualitative research presentation really effective!

How to Create a Structure for your Qualitative Research Presentation?

Creating the right structure for your presentation is key to ensuring that it is correctly understood by your audience.

The structure of your Research Presentation not only makes it easier for you to create the document, it also makes it simple for the audience to understand what all will be covered in the presentation at the time of presenting it to your audience.

Furthermore, having a robust structure is a great way to ensure that you don’t miss out on any of the points while working on creating the presentation.

But, what structure should one follow?

Creating a good structure can be tricky for some. Thus, I’m sharing what has worked well for me during my previous research projects.

NOTE – It is important to note that although the following structure is highly effective for most research findings presentation, it has been generalized in order to serve a wide range of research projects. You may want to take a look at points that are very specific to the nature of your research project and include them at your discretion.

Here’s my recommended structure to create your Research Findings presentation –

1. Objective of the Research

A great way to start your presentation is to highlight the objective of your research project.

It is important to remember that merely sharing the objective may sometimes not be enough. A short backstory along with the purpose of your research project can pack a powerful punch ! It not only validates the reasoning for your project but also subtly establishes trust with your audience.

However, do make sure that you’re not reading the backstory from the slide. Let it flow naturally when you are delivering the presentation. Keep the presentation as minimalistic as possible.

2. Key Parameters Considered for Measurement

Once you’ve established the objective, the next thing that you may want to do is perhaps share the key parameters considered for the success of your project.

Every research project, including qualitative research, needs to have a few key parameters to measure against the objective of the research.

For example – If the goal of your project is to gather the sentiments of a certain group of people for a particular product, you may need to measure their feelings. Are they happy or unhappy using the product? How do they perceive the branding of the product? Is it affordable?

Make sure that you list down all such key parameters that were considered while conducting the qualitative research.

In general, laying these out before sharing the outcome can help your audience think from your perspective and look at the findings from the correct lens.

3. Research Methodology Adopted

The next thing that you may want to include in your presentation is the methodology that you adopted for conducting the research.

By knowing your approach, the audience can be better prepared for the outcome of your project. Ensure that you provide sound reasoning for the chosen methodology.

This section of your presentation can also showcase some pictures of the research being conducted. If you have captured a video, include that. Doing this provides further validation of your project.

4. Research Outcomes (Presenting Descriptive Analysis)

presentation on research methods

This is the section that will constitute the bulk of the your presentation.

Use the slides in this section to describe the observations, and the resulting outcomes on each of the key parameters that were considered for the research project.

It is usually a good idea to dedicate at least 1 or more slides for each parameter . Make sure that you present data wherever possible. However, ensure that the data presented can be easily comprehended.

Provide key learnings from the data, highlight any outliers, and possible reasoning for it. Try not to go too in-depth with the stats as this can overwhelm the audience. Remember, a presentation is most helpful when it is used to provide key highlights of the research !

Apart from using the data, make sure that you also include a few quotes from the participants.

5. Summary and Learnings from the Research

Once you’ve taken the audience through the core part of your research findings, it is a good practice to summarize the key learnings from each of the section of your project.

Make sure your touch upon some of the key learnings covered in the research outcome of your presentation.

Furthermore, include any additional observations and key points that you may have had which were previously not covered.

The summary slide also often acts as “Key Takeaways” from the research for your audience. Thus, make sure that you maintain brevity and highlight only the points that you want your audience to remember even after the presentation.

6. Inclusions and Exclusions (if any)

While this can be an optional section for some of the researchers.

However, dedicating a section on inclusions and exclusions in your presentation can be a great value add! This section helps your audience understand the key factors that were excluded (or included) on purpose!

Moreover, it creates a sense of thoroughness in the minds of your audience.

7. Conclusion of the Research

The purpose of the conclusion slide of your research findings presentation is to revisit the objective, and present a conclusion.

A conclusion may simply validate or nullify the objective. It may sometimes do neither. Nevertheless, having a conclusion slide makes your presentation come a full circle. It creates this sense of completion in the minds of your audience.

8. Questions

Finally, since your audience did not spend as much time as you did on the research project, people are bound to have a few questions.

Thus, the last part of your presentation structure should be dedicated to allowing your audience to ask questions.

Tips for Effectively Presenting Qualitative Research Findings using PowerPoint

For a presentation to be effective, it is important that the presentation is not only well structured but also that it is well created and nicely delivered!

While we have already covered the structure, let me share with you some tips that you can help you create and deliver the presentation effectively.

Tip 1 – Use Visuals

presentation on research methods

Using visuals in your presentation is a great way to keep the presentations engaging!

Visual aids not only help make the presentation less boring, but it also helps your audience in retaining the information better!

So, use images and videos of the actual research wherever possible. If these do not suffice or do not give a professional feel, there are a number of resources online from where you can source royalty-free images.

My recommendation for high-quality royalty-free images would be either Unsplash or Pexels . Both are really good. The only downside is that they often do not provide the perfect image that can be used. That said, it can get the job done for at least half the time.

If you are unable to find the perfect free image, I recommend checking out Dreamstime . They have a huge library of images and are much cheaper than most of the other image banks. I personally use Dreamstime for my presentation projects!

Tip 2 – Tell a Story (Don’t Show Just Data!)

I cannot stress enough on how important it is to give your presentation a human touch. Delivering a presentation in the form of a story does just that! Furthermore, storytelling is also a great tool for visualization .

Data can be hard-hitting, whereas a touching story can tickle the emotions of your audience on various levels!

One of the best ways to present a story with your research project is to start with the backstory of the objective. We’ve already talked about this in the earlier part of this article.

Start with why is this research project is so important. Follow a story arc that provides an exciting experience of the beginning, the middle, and a progression towards a climax; much like a plot of a soap opera.

Tip 3 – Include Quotes of the Participants

Including quotes of the participants in your research findings presentation not only provides evidence but also demonstrates authenticity!

Quotes function as a platform to include the voice of the target group and provide a peek into the mindset of the target audience.

When using quotes, keep these things in mind –

1. Use Quotes in their Unedited Form

When using quotes in your presentation, make sure that you use them in their raw unedited form.

The need to edit quotes should be only restricted to aid comprehension and sometimes coherence.

Furthermore, when editing the quotes, make sure that you use brackets to insert clarifying words. The standard format for using the brackets is to use square brackets for clarifying words and normal brackets for adding a missing explanation.

2. How to Decide which Quotes to Consider?

It is important to know which quotes to include in your presentation. I use the following 3 criteria when selecting the quote –

  • Relevance – Consider the quotes that are relevant, and trying to convey the point that you want to establish.
  • Length – an ideal quote should be not more than 1-2 sentences long.
  • Choose quotes that are well-expressed and striking in nature.

3. Preserve Identity of the Participant

It is important to preserve and protect the identity of the participant. This can be done by maintaining confidentiality and anonymity.

Thus, refrain from using the name of the participant. An alternative could be using codes, using pseudonyms (made up names) or simply using other general non-identifiable parameters.

Do note, when using pseudonyms, remember to highlight it in the presentation.

If, however, you do need to use the name of the respondent, make sure that the participant is okay with it and you have adequate permissions to use their name.

Tip 4 – Make your Presentation Visually Appealing and Engaging

It is quite obvious for most of us that we need to create a visually appealing presentation. But, making it pleasing to the eye can be a bit challenging.

Fortunately, we wrote a detailed blog post with tips on how to make your presentation attractive. It provides you with easy and effective tips that you can use even as a beginner! Make sure you check that article.

7 EASY tips that ALWAYS make your PPT presentation attractive (even for beginners)

In addition to the tips mentioned in the article, let me share a few things that you can do which are specific to research outcome presentations.

4.1 Use a Simple Color Scheme

Using the right colors are key to make a presentation look good.

One of the most common mistakes that people make is use too many colors in their presentation!

My recommendation would be to go with a monochromatic color scheme in PowerPoint .

4.2 Make the Data Tables Simple and Visually Appealing

When making a presentation on research outcomes, you are bound to present some data.

But, when data is not presented in a proper manner, it can easily and quickly make your presentation look displeasing! The video below can be a good starting point.

Using neat looking tables can simply transform the way your presentation looks. So don’t just dump the data from excel on your PowerPoint presentation. Spend a few minutes on fixing it!

4.3 Use Graphs and Charts (wherever necessary)

When presenting data, my recommendation would be that graphs and charts should be your first preference.

Using graphs or charts make it easier to read the data, takes less time for the audience to comprehend, and it also helps to identify a trend.

However, make sure that the correct chart type is used when representing the data. The last thing that you want is to poorly represent a key piece of information.

4.4 Use Icons instead of Bullet Points

Consider the following example –

presentation on research methods

This slide could have been created just as easily using bullet points. However, using icons and representing the information in a different format makes the slide pleasing on the eye.

Thus, always try to use icons wherever possible instead of bullet points.

Tip 5 – Include the Outliers

Many times, as a research project manager, we tend to focus on the trends extracted from a data set.

While it is important to identify patterns in the data and provide an adequate explanation for the pattern, it is equally important sometimes to highlight the outliers prominently.

It is easy to forget that there may be hidden learnings even in the outliers. At times, the data trend may be re-iterating the common wisdom. However, upon analyzing the outlier data points, you may get insight into how a few participants are doing things successfully despite not following the common knowledge.

That said, not every outlier will reveal hidden information. So, do verify what to include and what to exclude.

Tip 6 – Take Inspiration from other Presentations

I admit, making any presentation can be a tough ask let alone making a presentation for showcasing qualitative research findings. This is especially hard when we don’t have the necessary skills for creating a presentation.

One quick way to overcome this challenge could be take inspiration from other similar presentations that we may have liked.

There is no shame in being inspired from others. If you don’t have any handy references, you can surely Google it to find a few examples.

One trick that almost always works for me is using Pinterest .

But, don’t just directly search for a research presentation. You will have little to no success with it. The key is to look for specific examples for inspiration. For eg. search for Title Slide examples, or Image Layout Examples in Presentation.

Tip 7 – Ask Others to Critic your Presentation

The last tip that I would want to provide is to make sure that you share the presentation with supportive colleagues or mentors to attain feedback.

This step can be critical to iron out the chinks in the armor. As research project manager, it is common for you to get a bit too involved with the project. This can lead to possibilities wherein you miss out on things.

A good way to overcome this challenge is to get a fresh perspective on your project and the presentation once it has been prepared.

Taking critical feedback before your final presentation can also prepare you to handle tough questions in an adept manner.

Final Thoughts

It is quite important to ensure that we get it right when working on a presentation that showcases the findings of our research project. After all, we don’t want to be in a situation wherein we put in all the hard-work in the project, but we fail to deliver the outcome appropriately.

I hope you will find the aforementioned tips and structure useful, and if you do, make sure that you bookmark this page and spread the word. Wishing you all the very best for your project!

social research methods

Social Research Methods

Sep 11, 2014

210 likes | 1.6k Views

Social Research Methods. Case Studies. What is a Case Study?. “ A strategy for doing research which involves an empirical investigation of a particular contemporary phenomenon within its real life context using multiple sources of evidence ” (Robson, 1993, p. 146) A Case Study may be…

Share Presentation

  • case studies
  • replication strategy
  • individual case study
  • case study research designs

mayes

Presentation Transcript

Social Research Methods Case Studies

What is a Case Study? • “A strategy for doing research which involves an empirical investigation of a particular contemporary phenomenon within its real life context using multiple sources of evidence” (Robson, 1993, p. 146) • A Case Study may be… • Descriptive • Exploratory • Explanatory • Focussed on • Process - how was it done? • Outcome - does it work?

Types of Case Study • Individual Case Study • Stanley, the ‘jack-roller’ - Shaw. • Set of individual case studies • Three general practice surgeries compared • Community Studies • Family and Kinship in East London, The Azande in the Sudan • Social Group Studies • Outsiders - Becker on Marijuana smokers and musicians • Studies of organizations and institutions • Working for Ford - Benyon; National Front - Fielding • Studies of events, roles and relationships • Housewife - Oakley; Cuban Missile Crisis

How to plan a case study Think about… • Conceptual Framework • Research Questions • Research Design • Sampling/replication strategy • Methods and Instruments • Analysis of Data

Conceptual Framework • Displays the important features of a case study • Shows relationships between features • Makes assumptions explicit • Selective • Iterative • Based on theory • Takes account of previous research • Includes personal orientation • Includes overlaps and inconsistencies

Research Questions • Consistent with conceptual framework • Covers conceptual framework thoroughly • Structured and focussed • Answerable • Forms basis for data collection

Basic Types of Case Study Design Shaded cells are case study research designs From Gerring, John (2007) Case Study Research. Cambridge: Cambridge University Press. p. 28.

Replication Strategy (sometimes called sampling strategy) Literal vs. theoretical replications • Literal = more of the same • Theoretical = different, identified according to a theoretical standpoint. • Must be linked to research questions • Determines the extent to which generalisation is possible (N.B. Theoretical not statistical generalisation.)

Theoretical Replication Choose: • Actors • E.g. Men and women, MEPs from different countries, members of different pressure groups • Settings • E.g. different companies, different branches of political party, range of local authorities. • Events • E.g. Elections, selection meetings, budget group meetings, demonstrations. • Processes • E.g. Negotiating new laws, developing media strategies.

Why select a single case? • Critical case (test case) • Theory well developed. Case will confirm or refute theory. E.g. Festinger et al. When Prophesy Fails • Extreme or unique case • Common in clinical cases. E.g. Fielding - National Front • Representative or typical case • Capture the circumstances of the everyday. E.g. Lynd & Lynd - Middletown study.

Methods and Instruments • Observation • Participant observation • Ethnography • Systematic observation • Interview • Open-ended • Focussed/semi-structured • Structured • Documents/Records E.g. minutes of meetings, patient records, diaries… • Etc.

Analysis of Data • Prepare (lots of data) • May start during data collection • How will the data be organised? • What analysis strategy will you use? • Follow theoretical propositions • Develop descriptive framework

Problems for Validity • Unreliable self-report data • Unsubstantiated observations • Post-hoc, unsystematic summaries • Speculation and overgeneralization

Common pitfalls • Token literature review • Premature theorizing • Phase slippage

  • More by User

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 7: The nature of quantitative research. Slides authored by Tom Owens. Concepts are: Building blocks of theory Labels that we give to elements of the social world Categories for the organization of ideas and observations (Bulmer , 1984 )

765 views • 15 slides

Social Research Methods

Social Research Methods. observation. Why would you use observation?. Covert observation. Non-Participant observation. Participant observation. Overt observation. Participant Observation. Researcher joining in with the group or community they are studying.

1.2k views • 24 slides

Social Research Methods

Social Research Methods. The Research Process and the Quality of Research. Shipman ’ s 4 key questions about the quality of research. (Shipman (1988) The Limitations of Social Research )

660 views • 12 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 10: Self-completion questionnaires. Slides authored by Tom Owens. Also called a self-administered questionnaire No interviewer present Respondent writes answers on form Returned to researcher or deposited for collection

750 views • 15 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 11: Asking questions. Slides authored by Tom Owens. Advantages Respondents answer in their own terms Allow for new, unexpected responses Exploratory - generate fixed answer questions Disadvantages Time-consuming for interviewer and respondent

1.02k views • 11 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 8: Sampling. Slides authored by Tom Owens. Survey elements. Page 186. Population: the universe of units from which the sample is to be selected Sample: the segment of population that is selected for investigation

777 views • 20 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 21: Focus groups. Slides authored by Tom Owens. Form of group interview Several participants and a moderator Individuals in a social context Discussion of specific issue Study interaction between group members

508 views • 13 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 5: Reviewing the literature. Slides authored by Tom Owens. Once you have identified your research questions (see Chapter 4), the next step in any research project is to search the existing literature and write a literature review.

511 views • 27 slides

Social Research Methods

283 views • 20 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 26: Breaking down the quantitative/qualitative divide. Slides authored by Tom Owens. Distinction between quantitative and qualitative research remains useful

265 views • 15 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 17: The nature of qualitative research. Slides authored by Tom Owens. Inductive view of relationship between theory and research theories and concepts emerge from the data Interpretivist epistemology Constructionist ontology

694 views • 19 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 3: Research designs. Slides authored by Tom Owens. A Research Design provides a framework for the collection and analysis of data. Choice of research design reflects decisions about priorities given to the dimensions of the research process.

851 views • 24 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 20: Interviewing in qualitative research. Slides authored by Tom Owens. Qualitative interviews… are less structured/standardized take the participant’s viewpoint encourage ‘rambling’ off the topic are more flexible seek rich, detailed answers

657 views • 15 slides

Social Research Methods

Social Research Methods. Surveys. Survey. Characteristics Collecting a SMALL amount of data in STANDARDISED form from RELATIVELY LARGE NUMBERS OF INDIVIDUALS Selection of REPRESENTATIVE SAMPLES of individuals from KNOWN POPULATIONS. Surveys are very common.

304 views • 22 slides

Social Research Methods

Social Research Methods. Social Research. Goal : Test common sense &amp; peoples assumptions then replace with fact &amp; evidence and make…………. Generalizations!!. Definition : statement about a group of people or things that is based on only a few people or things in that group.

361 views • 19 slides

Social Research Methods

Social Research Methods. Experiments. Experiments. One of the three research strategies: Experiment Survey Case Study. Experimental Design. Assignment of subjects to different conditions (N.B. subject or participant or respondent)

337 views • 27 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 23: Documents as sources of data. Slides authored by Tom Owens. These are ‘documents’ that….. can be read (but not just text – visuals as well!) have not been produced specifically for the purposes of research

321 views • 15 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 2: Social research strategies. Slides authored by Tom Owens. Student experience. A valuable feature of the text is the ‘Student experience’ boxes with links to the Online Resource Centre. page 20. Theory and research. What type of theory?

440 views • 25 slides

Social Research Methods

Alan Bryman. Social Research Methods. Chapter 24: Qualitative data analysis. Slides authored by Tom Owens. General strategies: analytic induction grounded theory Coding: steps considerations problems. Qualitative data analysis. Page 565.

340 views • 18 slides

APS

New Content From Advances in Methods and Practices in Psychological Science

  • Advances in Methods and Practices in Psychological Science
  • Cognitive Dissonance
  • Meta-Analysis
  • Methodology
  • Preregistration
  • Reproducibility

presentation on research methods

A Practical Guide to Conversation Research: How to Study What People Say to Each Other Michael Yeomans, F. Katelynn Boland, Hanne Collins, Nicole Abi-Esber, and Alison Wood Brooks  

Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have allowed researchers to more directly and precisely examine conversations in natural contexts and at a larger scale than ever before, and these advances open new paths to understand humanity and the social world. Existing reviews of text analysis and conversation research have focused on text generated by a single author (e.g., product reviews, news articles, and public speeches) and thus leave open questions about the unique challenges presented by interactive conversation data (i.e., dialogue). In this article, we suggest approaches to overcome common challenges in the workflow of conversation science, including recording and transcribing conversations, structuring data (to merge turn-level and speaker-level data sets), extracting and aggregating linguistic features, estimating effects, and sharing data. This practical guide is meant to shed light on current best practices and empower more researchers to study conversations more directly—to expand the community of conversation scholars and contribute to a greater cumulative scientific understanding of the social world. 

Open-Science Guidance for Qualitative Research: An Empirically Validated Approach for De-Identifying Sensitive Narrative Data Rebecca Campbell, McKenzie Javorka, Jasmine Engleton, Kathryn Fishwick, Katie Gregory, and Rachael Goodman-Williams  

The open-science movement seeks to make research more transparent and accessible. To that end, researchers are increasingly expected to share de-identified data with other scholars for review, reanalysis, and reuse. In psychology, open-science practices have been explored primarily within the context of quantitative data, but demands to share qualitative data are becoming more prevalent. Narrative data are far more challenging to de-identify fully, and because qualitative methods are often used in studies with marginalized, minoritized, and/or traumatized populations, data sharing may pose substantial risks for participants if their information can be later reidentified. To date, there has been little guidance in the literature on how to de-identify qualitative data. To address this gap, we developed a methodological framework for remediating sensitive narrative data. This multiphase process is modeled on common qualitative-coding strategies. The first phase includes consultations with diverse stakeholders and sources to understand reidentifiability risks and data-sharing concerns. The second phase outlines an iterative process for recognizing potentially identifiable information and constructing individualized remediation strategies through group review and consensus. The third phase includes multiple strategies for assessing the validity of the de-identification analyses (i.e., whether the remediated transcripts adequately protect participants’ privacy). We applied this framework to a set of 32 qualitative interviews with sexual-assault survivors. We provide case examples of how blurring and redaction techniques can be used to protect names, dates, locations, trauma histories, help-seeking experiences, and other information about dyadic interactions. 

Impossible Hypotheses and Effect-Size Limits Wijnand van Tilburg and Lennert van Tilburg

Psychological science is moving toward further specification of effect sizes when formulating hypotheses, performing power analyses, and considering the relevance of findings. This development has sparked an appreciation for the wider context in which such effect sizes are found because the importance assigned to specific sizes may vary from situation to situation. We add to this development a crucial but in psychology hitherto underappreciated contingency: There are mathematical limits to the magnitudes that population effect sizes can take within the common multivariate context in which psychology is situated, and these limits can be far more restrictive than typically assumed. The implication is that some hypothesized or preregistered effect sizes may be impossible. At the same time, these restrictions offer a way of statistically triangulating the plausible range of unknown effect sizes. We explain the reason for the existence of these limits, illustrate how to identify them, and offer recommendations and tools for improving hypothesized effect sizes by exploiting the broader multivariate context in which they occur. 

presentation on research methods

It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data Anna Langener, Gert Stulp, Nicholas Jacobson, Andrea Costanzo, Raj Jagesar, Martien Kas, and Laura Bringmann  

The use of smartphones and wearable sensors to passively collect data on behavior has great potential for better understanding psychological well-being and mental disorders with minimal burden. However, there are important methodological challenges that may hinder the widespread adoption of these passive measures. A crucial one is the issue of timescale: The chosen temporal resolution for summarizing and analyzing the data may affect how results are interpreted. Despite its importance, the choice of temporal resolution is rarely justified. In this study, we aim to improve current standards for analyzing digital-phenotyping data by addressing the time-related decisions faced by researchers. For illustrative purposes, we use data from 10 students whose behavior (e.g., GPS, app usage) was recorded for 28 days through the Behapp application on their mobile phones. In parallel, the participants actively answered questionnaires on their phones about their mood several times a day. We provide a walk-through on how to study different timescales by doing individualized correlation analyses and random-forest prediction models. By doing so, we demonstrate how choosing different resolutions can lead to different conclusions. Therefore, we propose conducting a multiverse analysis to investigate the consequences of choosing different temporal resolutions. This will improve current standards for analyzing digital-phenotyping data and may help combat the replications crisis caused in part by researchers making implicit decisions. 

Calculating Repeated-Measures Meta-Analytic Effects for Continuous Outcomes: A Tutorial on Pretest–Posttest-Controlled Designs David R. Skvarc, Matthew Fuller-Tyszkiewicz  

Meta-analysis is a statistical technique that combines the results of multiple studies to arrive at a more robust and reliable estimate of an overall effect or estimate of the true effect. Within the context of experimental study designs, standard meta-analyses generally use between-groups differences at a single time point. This approach fails to adequately account for preexisting differences that are likely to threaten causal inference. Meta-analyses that take into account the repeated-measures nature of these data are uncommon, and so this article serves as an instructive methodology for increasing the precision of meta-analyses by attempting to estimate the repeated-measures effect sizes, with particular focus on contexts with two time points and two groups (a between-groups pretest–posttest design)—a common scenario for clinical trials and experiments. In this article, we summarize the concept of a between-groups pretest–posttest meta-analysis and its applications. We then explain the basic steps involved in conducting this meta-analysis, including the extraction of data and several alternative approaches for the calculation of effect sizes. We also highlight the importance of considering the presence of within-subjects correlations when conducting this form of meta-analysis.   

Reliability and Feasibility of Linear Mixed Models in Fully Crossed Experimental Designs Michele Scandola, Emmanuele Tidoni  

The use of linear mixed models (LMMs) is increasing in psychology and neuroscience research In this article, we focus on the implementation of LMMs in fully crossed experimental designs. A key aspect of LMMs is choosing a random-effects structure according to the experimental needs. To date, opposite suggestions are present in the literature, spanning from keeping all random effects (maximal models), which produces several singularity and convergence issues, to removing random effects until the best fit is found, with the risk of inflating Type I error (reduced models). However, defining the random structure to fit a nonsingular and convergent model is not straightforward. Moreover, the lack of a standard approach may lead the researcher to make decisions that potentially inflate Type I errors. After reviewing LMMs, we introduce a step-by-step approach to avoid convergence and singularity issues and control for Type I error inflation during model reduction of fully crossed experimental designs. Specifically, we propose the use of complex random intercepts (CRIs) when maximal models are overparametrized. CRIs are multiple random intercepts that represent the residual variance of categorical fixed effects within a given grouping factor. We validated CRIs and the proposed procedure by extensive simulations and a real-case application. We demonstrate that CRIs can produce reliable results and require less computational resources. Moreover, we outline a few criteria and recommendations on how and when scholars should reduce overparametrized models. Overall, the proposed procedure provides clear solutions to avoid overinflated results using LMMs in psychology and neuroscience.   

Understanding Meta-Analysis Through Data Simulation With Applications to Power Analysis Filippo Gambarota, Gianmarco Altoè  

Meta-analysis is a powerful tool to combine evidence from existing literature. Despite several introductory and advanced materials about organizing, conducting, and reporting a meta-analysis, to our knowledge, there are no introductive materials about simulating the most common meta-analysis models. Data simulation is essential for developing and validating new statistical models and procedures. Furthermore, data simulation is a powerful educational tool for understanding a statistical method. In this tutorial, we show how to simulate equal-effects, random-effects, and metaregression models and illustrate how to estimate statistical power. Simulations for multilevel and multivariate models are available in the Supplemental Material available online. All materials associated with this article can be accessed on OSF ( https://osf.io/54djn/ ).   

Feedback on this article? Email  [email protected]  or login to comment.

APS regularly opens certain online articles for discussion on our website. Effective February 2021, you must be a logged-in APS member to post comments. By posting a comment, you agree to our Community Guidelines and the display of your profile information, including your name and affiliation. Any opinions, findings, conclusions, or recommendations present in article comments are those of the writers and do not necessarily reflect the views of APS or the article’s author. For more information, please see our Community Guidelines .

Please login with your APS account to comment.

Privacy Overview

REVIEW article

Correlation and singular optics for diagnostics of structured light and condensed matter: time-stationary and spatio-temporal approaches provisionally accepted.

  • 1 Chernivtsi University, Ukraine
  • 2 Odessa I.I.Mechnikov National University, Ukraine
  • 3 Research Institute of Zhejiang University-Taizhou, China

The final, formatted version of the article will be published soon.

The review describes the principles and examples of practical realization of diagnostic approaches based on the coherence theory, optical singularities and interference techniques. The presentation is based on the unified correlation-optics and coherence-theory concepts. The applications of general principles are demonstrated by several examples including the study of inhomogeneities and fluctuations in water solutions and methods for sensitive diagnostics of random phase objects (e.g., rough surfaces). The specific manifestations of the correlation-optics paradigms are illustrated in applications to non-monochromatic fields structured both in space and time. For such fields, the transient patterns of the internal energy flows (Poynting vector distribution) and transient states of polarization are described. The single-shot spectral interference is analyzed as a version of the correlation-optics approach adapted to ultra-short light pulses. As a characteristic example of such pulses, uniting the spatio-temporal and singular properties, the spatio-temporal optical vortices are considered in detail; their properties, methods of generation, diagnostics, and possible applications are exposed and characterized. Prospects of further research and applications are discussed.

Keywords: Correlation optics, coherence, aqueous-solution diagnostics, Optical singularity, Random phase object, Polychromatic light, internal energy flows, spatio-temporal optical vortex

Received: 07 Feb 2024; Accepted: 10 May 2024.

Copyright: © 2024 Angelsky, Bekshaev, Maksimyak, Mokhun, Zenkova, Gotsylskiy, Ivanskyi and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mx. Jun Zheng, Research Institute of Zhejiang University-Taizhou, Taizhou City, Zhejiang Province, 318000, China

People also looked at

Innovative Educator Prep Program Centers HQIM and Research-Based Teaching Methods

by Carmen Orozco, Emily Pierson | May 8, 2024

Teacher works at his laptop with a bookshelf behind him.

In far too many schools across the country, teachers spend hours each week preparing lesson plans , activities, and materials for every class they teach. Despite teachers’ best efforts, this piecemeal approach to curriculum development means that the lessons and content students engage with vary widely, and may not be standards-aligned, culturally and linguistically responsive, or appropriately differentiated to reach all students. But if all schools provided high-quality curricula with built-in supports and resources, teachers could instead focus their time, energy, and creativity on bringing lessons to life for students—not on searching for materials or preparing them from scratch.   

Over the past several years, more and more states have mandated the use of high-quality instructional materials (HQIM) in all K-12 schools. But it’s critical that educators also receive professional learning and support to make a successful shift to new curricula, increasing their ability to deliver instruction that helps all students build a strong academic foundation.  And while professional development can help seasoned educators adopt the new approach, there is great urgency for teacher preparation programs to incorporate HQIM training into their coursework, so that new teachers begin their careers equipped with the skills and knowledge to use the materials effectively from their first day in the classroom.  

Dallas College: Transforming Teacher Preparation with HQIM

Dallas College , a Hispanic-Serving Institution (HSI) in North Texas, is one of the largest community college systems in the state. While enrollment in teacher preparation programs has declined nationally, the opposite is true for Dallas College. As the first community college in Texas to offer a bachelor’s degree in early childhood education and teaching, Dallas College has seen an increase in enrollment since it launched the bachelor’s degree in fall 2021. In addition to the bachelor’s degree program, its School of Education offers an alternate certification program called TEACH and an Associate’s of Arts in Teaching . More than 80% of students are aspiring educators of color, multilingual, and/or first-generation college students, helping to close the educator-to-student diversity gap . Dallas College is creating a pipeline of effective educators whose identities reflect the students and communities they will serve—and who will prepare all students to navigate the multicultural workforce of tomorrow.    

The TEACH at Dallas College Educator Preparation Program was recently one of two educator prep programs to receive the commendation from the Texas Education Agency for “seeking innovative ways to prepare candidates for the classroom” in the 2022-23 school year. Emily Pierson, a Director of Academics with TNTP, spoke with Shannon Watson, Associate Dean at Dallas College, to discuss the key strategies driving the program’s success.  

Key Strategy 1: Removing barriers to entry

Dr. Watson shared that when designing the educator preparation program, “our aim was removing barriers to give people already in education a pathway to earn a degree and teacher certification and thereby earn a higher wage.” Dallas College partnered with local education agencies (LEAs) to create a paid residency model. Teacher candidates spend a year working alongside a mentor teacher and gradually assuming more responsibilities in the classroom. Many of the people who enroll in the program already work in the education system. According to Watson, “offering this degree was a way to upskill people who are already working in [education] spaces and provide them a way to increase their earnings.”   

Key Strategy 2: Engaging faculty in the greater purpose

A first step toward embedding high-quality instructional materials and research-based instructional practices was for Dallas College to engage its faculty in a deeper understanding of why these shifts are critical for preparing effective teachers. TNTP’s 2018 report, The Opportunity Myth , helped faculty members connect to the urgency behind the shift, and demonstrated through data that HQIM, in combination with strong instruction, deep engagement, and high expectations among educators, not only helped improve students’ performance but also increased the likelihood that students who had fallen behind their peers could catch up.  

“The faculty valued understanding The Opportunity Myth and the data around it,” explained Dr. Watson. “That training was a turning point for our faculty members. Until then, they didn’t seem to fully grasp why we were making this shift and why it was important to get on board with the initiative.”   

Supporting faculty to make changes became an essential part of the process. “We had to think about how we could start small and build. As the last two years have progressed, I feel confident the faculty have embraced the direction we have gone and appreciate our hands-on approach,” explained Dr. Watson.  

Key Strategy 3: Embedding HQIM

With the faculty on board with the new direction, Dallas College began embedding Eureka Math and Amplify Reading in their coursework. Through strategic partnerships and faculty training facilitated by TNTP, teacher candidates gained valuable insights into maximizing the use of these specific curricula through research-based instructional strategies (RBIS).     

Dallas College faculty learned how to help teacher candidates master relevant knowledge and skills, and then translate those into excellent classroom instruction. With the new coursework, faculty members challenged teacher candidates to explore examples of focus, coherence, and rigor in high-quality instructional materials. For example, by analyzing a Tier 1 lesson from Eureka Math for evidence of research-based instructional strategies and building on that deep analysis, teacher candidates would then prepare to i mplement that lesson with students, and receive constructive coaching based on faculty members’ observations of them in the field.   

“RBIS and HQIM position our teacher candidates to be ahead of the game when it comes to navigating the first-year teacher experience,” explained Dr. Joyce Price, a faculty member in the Dallas College School of Education. Rather than beginning their careers with the typical first-year teacher deficits, Price observed, “our teacher candidates, having had a year of paid, on-the-job training in real classrooms, will begin their careers with a deep understanding of how to build students’ conceptual understanding and the importance of equity in teaching and learning.”  

Changing teacher preparation to drive student success

Dallas College’s innovative approach to expanding the pipeline of local teacher candidates and infusing their preparation programs with high-quality instructional materials and practices is a powerful model for other programs to follow. Their program has the potential to impact the economic and social mobility of multiple generations of North Texans, from the teacher candidates in their programs to the K-12 students they will one day teach.   

For educator preparation programs, state education agencies, and school systems ready to explore the potential of HQIM to transform both student and educator experiences, TNTP can offer guidance and support. Contact us .   

Head and shoulders photo of Carmen Orozco

Carmen Orozco

Carmen Orozco is a Partner with TNTP.

Emily Pierson

Emily Pierson

Emily Pierson is a Director of Academics.

Related Topics

  • Curriculum and Instruction
  • Teacher Diversity
  • Teacher Recruitment and Retention

Stay in the Know

Sign up for updates on our latest research, insights, and high-impact work.

" * " indicates required fields

More by Carmen Orozco, Emily Pierson

February 22, 2023

Supporting Learning Acceleration in Maricopa County

The view from above of students walking through a door and up a flight of stairs.

Blog Post | April 30, 2024

From Missing Out to Moving Up: Addressing Teacher Shortages in Arkansas

To address teacher shortages, Arkansas began to implement TNTP’s recommendations in 2021. In our latest report, we assess the impact and share next steps.

Students sit at desks, concentrating on their work with pencils in hand and laptops nearby.

Blog Post | April 29, 2024

How This High School Network Built a System of Support for Multilingual Learners

Ednovate, a network of six high schools in California, coordinates support for multilingual learners by prioritizing their input and involving leadership.

presentation on research methods

Publication | April 25, 2024

Arkansas is pursuing promising strategies to address teacher shortages and become a national leader in teacher recruitment.

A teacher sits a table surrounded by four students, all looking at the same book.

Blog Post | April 23, 2024

Ask Them to Stay: Data-Backed Teacher Retention Strategies

TNTP’s Insight surveys show that strategies for retaining teachers can be low-cost and as simple as offering positive feedback and asking them to stay.

presentation on research methods

Case Study | April 22, 2024

Building a New Foundation with High-Quality Instructional Materials

New Jersey’s Passaic Public Schools and TNTP revamp curriculum with strategic selection of bilingual HQIM and see fast results in student mastery of grade-level standards.

Imali Ariyarathne, seventh-grade teacher at Langston Hughes Academy, stands in front of her students while introducing them to the captivating world of science

Imali Ariyarathne, seventh-grade teacher at Langston Hughes Academy, introduces her students to the captivating world of science.

TNTP is the nation’s leading research, policy, and consulting organization dedicated to transforming America’s public education system, so that every generation thrives.

Today, we work side-by-side with educators, system leaders, and communities across 39 states and over 6,000 districts nationwide to reach ambitious goals for student success.

Yet the possibilities we imagine push far beyond the walls of school and the education field alone. We are catalyzing a movement across sectors to create multiple pathways for young people to achieve academic, economic, and social mobility.

  • Accountancy and Control (master)
  • Accountancy and Control (premaster)
  • Actuarial Science (bachelor)
  • Actuarial Science and Mathematical Finance (master)
  • American Studies (master)
  • Ancient Studies (bachelor)
  • Arabische taal en cultuur (bachelor)
  • Arbeidsrecht (master)
  • Archaeology (master)
  • Archaeology (premaster)
  • Archaeology (bachelor), EN
  • Archaeology and Heritage (research master)
  • Archeologie (bachelor), NL
  • Archival and Information Studies (duale master)
  • Art and Performance Research Studies (research master)
  • Artificial Intelligence (master)
  • Bèta-gamma (bachelor)
  • Bioinformatics and Systems Biology (master, joint degree)
  • Biological Sciences (master)
  • Biologie (bachelor)
  • Biomedical Sciences (master)
  • Biomedische wetenschappen (bachelor)
  • BMS: Cell Biology and Advanced Microscopy (master)
  • BMS: Cognitive Neurobiology and Clinical Neurophysiology (master)
  • BMS: Developmental and Therapeutic Biology (master)
  • BMS: Experimental Internal Medicine (master)
  • BMS: Infection and Immunity (master)
  • BMS: Medical Biochemistry and Biotechnology (master)
  • BMS: Molecular Neurosciences (master)
  • BMS: Oncology (master)
  • BMS: Physiology of Synapses and Networks (master)
  • BMS: Psychopharmacology and Pathophysiology (master)
  • Boekwetenschap (master)
  • Boekwetenschap (schakelprogramma)
  • Brain and Cognitive Sciences (research master)
  • BS: Ecology and Evolution (master)
  • BS: Freshwater and Marine Biology (master)
  • BS: General Biology (master)
  • BS: Green Life Sciences (master)
  • Business Administration (bachelor)
  • Business Administration (master)
  • Business Administration (premaster)
  • Business Analytics (bachelor)
  • Business Economics (master)
  • Business Economics (premaster)
  • Chemistry (master, joint degree)
  • Chemistry (premaster)
  • Chemistry: Analytical Sciences (master, joint degree)
  • Chemistry: Molecular Sciences (master, joint degree)
  • Chemistry: Science for Energy and Sustainability (master, joint degree)
  • Child Development and Education (research master)
  • Classics and Ancient Civilizations (master)
  • Cognition, Language and Communication (bachelor)
  • Commerciële rechtspraktijk (master)
  • Communicatiewetenschap (bachelor)
  • Communication and Information (duale master)
  • Communication Science (bachelor)
  • Communication Science (master)
  • Communication Science (premaster)
  • Communication Science (research master)
  • Comparative Cultural Analysis (master)
  • Comparative Literature (master)
  • Computational Science (master, joint degree)
  • Computational Social Science (bachelor)
  • Computer Science (master, joint degree)
  • Conflict Resolution and Governance (master)
  • Conservation and Restoration of Cultural Heritage (master)
  • Cultural Analysis (research master)
  • Cultural and Social Anthropology (master)
  • Cultural and Social Anthropology (premaster)
  • Cultural Anthropology and Development Sociology (bachelor)
  • Culturele antropologie en ontwikkelingssociologie (bachelor)
  • Cultuurwetenschappen (bachelor)
  • Curating Art and Cultures (duale master)
  • Data Science (master)
  • Data Science and Business Analytics (master)
  • Documentaire en fictie (duale master)
  • Duits, Educatie en communicatie (master)
  • Duits, Educatie en communicatie (schakelprogramma)
  • Duitslandstudies (bachelor)
  • Duitslandstudies (master)
  • Earth Sciences (master)
  • East European Studies (master)
  • Econometrics (master)
  • Econometrics (premaster)
  • Econometrics and Data Science (bachelor)
  • Economics (master)
  • Economics (premaster)
  • Economics and Business Economics (bachelor)
  • Engels, Educatie en communicatie (master)
  • Engels, Educatie en communicatie (schakelprogramma)
  • English Language and Culture (bachelor)
  • English Literature and Culture (master)
  • Entrepreneurship (master)
  • ES: Environmental Management (master)
  • ES: Future Planet Ecosystem Science (master)
  • ES: Geo-Ecological Dynamics (master)
  • European Competition Law and Regulation (master)
  • European Policy (master)
  • European Private Law (master)
  • European Studies (bachelor)
  • European Studies (premaster)
  • European Union Law (master)
  • Europese studies (bachelor)
  • Exchange programme Economics and Business
  • Exchange programme Humanities
  • Exchange programme Law - Amsterdam Law School
  • Exchange programme PPLE - Politics, Psychology, Law and Economics
  • Exchange programme Science
  • Exchange programme Social and Behavioural Sciences
  • Film Studies (master)
  • Filosofie (bachelor)
  • Filosofie (master)
  • Finance (master)
  • Fiscaal recht (master)
  • Fiscaal Recht (bachelor)
  • Fiscale Economie (bachelor)
  • Fiscale Economie (master)
  • Fiscale Economie (premaster)
  • Forensic Science (master)
  • Frans, Educatie en communicatie (master)
  • Frans, Educatie en communicatie (schakelprogramma)
  • Franse taal en cultuur (bachelor)
  • Future Planet Studies (bachelor)
  • Geneeskunde (bachelor)
  • Geneeskunde (master)
  • Geneeskunde (schakelprogramma)
  • General Linguistics (master)
  • Geschiedenis (bachelor)
  • Geschiedenis (master)
  • Geschiedenis (research master)
  • Geschiedenis (schakelprogramma)
  • Geschiedenis van de internationale betrekkingen (master)
  • Geschiedenis, Educatie en communicatie (master)
  • Gezondheidsrecht (master)
  • Gezondheidszorgpsychologie (master)
  • Global Arts, Culture and Politics (bachelor)
  • Griekse en Latijnse taal en cultuur (bachelor)
  • Hebreeuwse taal en cultuur (bachelor)
  • Heritage and Memory Studies (duale master)
  • Holocaust and Genocide Studies (master)
  • Human Geography (master)
  • Human Geography (premaster)
  • Human Geography and Planning (bachelor)
  • Identity and Integration (master)
  • Informatica (bachelor)
  • Informatiekunde (bachelor)
  • Informatierecht (master)
  • Information Studies (master)
  • Information Systems (master)
  • Interdisciplinaire sociale wetenschap (bachelor)
  • Internationaal en Europees belastingrecht (master)
  • International and Transnational Criminal Law (master)
  • International Criminal Law - Joint programme with Columbia Law School (master)
  • International Development Studies (master)
  • International Development Studies (premaster)
  • International Development Studies (research master)
  • International Dramaturgy (duale master)
  • International Dramaturgy and Theatre Studies (premaster)
  • International Tax Law (advanced master)
  • International Trade and Investment Law (master)
  • Italië Studies (bachelor)
  • Jewish Studies (master)
  • Journalism, Media and Globalisation (Erasmus Mundus Master's - joint degree)
  • Journalistiek en media (duale master)
  • Kunst, cultuur en politiek (master)
  • Kunst, cultuur en politiek (schakelprogramma)
  • Kunstgeschiedenis (bachelor)
  • Kunstgeschiedenis (master)
  • Kunstgeschiedenis (schakelprogramma)
  • Kunstmatige intelligentie (bachelor)
  • Language and Society (master)
  • Language, Literature and Education (master)
  • Language, Literature and Education (premaster)
  • Latin American Studies (master)
  • Latin American Studies (premaster)
  • Law & Finance (master)
  • Lerarenopleidingen
  • Linguistics (bachelor)
  • Linguistics (premaster)
  • Linguistics and Communication (research master)
  • Literary and Cultural Analysis (bachelor)
  • Literary Studies (premaster)
  • Literary Studies (research master)
  • Literature, Culture and Society (master)
  • Logic (master)
  • Mathematics (master)
  • Media and Culture (bachelor)
  • Media and Information (bachelor)
  • Media en cultuur (bachelor)
  • Media Studies (premaster)
  • Media Studies (research master)
  • Medical Anthropology and Sociology (master)
  • Medical Anthropology and Sociology (premaster)
  • Medical informatics (master)
  • Medische informatiekunde (bachelor)
  • Midden-Oostenstudies (master)
  • Midden-Oostenstudies (schakelprogramma)
  • Militaire geschiedenis (master)
  • Museum Studies (duale master)
  • Music Studies (master)
  • Music Studies (premaster)
  • Muziekwetenschap (bachelor)
  • Natuurkunde en sterrenkunde (bachelor, joint degree)
  • Nederlands als tweede taal en meertaligheid (duale master)
  • Nederlands als tweede taal en meertaligheid (schakelprogramma)
  • Nederlands, Educatie en communicatie (master)
  • Nederlands, Educatie en communicatie (schakelprogramma)
  • Nederlandse taal en cultuur (bachelor)
  • Nederlandse taal en cultuur (master)
  • New Media and Digital Culture (master)
  • Nieuwgriekse taal en cultuur (bachelor)
  • Onderwijswetenschappen (bachelor)
  • Onderwijswetenschappen (master)
  • Onderwijswetenschappen (schakelprogramma)
  • (Forensische) Orthopedagogiek (schakelprogramma)
  • Oudheidwetenschappen (bachelor)
  • P&A: Advanced Matter and Energy Physics (master, joint degree)
  • P&A: Astronomy and Astrophysics (master, joint degree)
  • P&A: Biophysics and Biophotonics (master, joint degree)
  • P&A: General Physics and Astronomy (master, joint degree)
  • P&A: GRAPPA - Gravitation, Astro-, and Particle Physics (master, joint degree)
  • P&A: Science for Energy and Sustainability (master, joint degree)
  • P&A: Theoretical Physics (master, joint degree)
  • Pedagogical Sciences (master)
  • Pedagogische wetenschappen (bachelor)
  • Pedagogische wetenschappen (master)
  • Philosophy (master)
  • Philosophy (research master)
  • Philosophy of the Humanities and the Social Sciences (master)
  • Philosophy of the Humanities and the Social Sciences (schakelprogramma)
  • Physics and Astronomy (master, joint degree)
  • Political Science (bachelor)
  • Political Science (master)
  • Political Science (premaster)
  • Politicologie (bachelor)
  • PPLE - Politics, Psychology, Law and Economics (bachelor)
  • Preservation and Presentation of the Moving Image (duale master)
  • Preventieve jeugdhulp en opvoeding (schakelprogramma)
  • Privaatrechtelijke rechtspraktijk (master)
  • Psychobiologie (bachelor)
  • Psychologie (schakelprogramma)
  • Psychologie (bachelor), NL
  • Psychologie (master), NL
  • Psychology (premaster)
  • Psychology (bachelor), EN
  • Psychology (master), EN
  • Psychology (research master), EN
  • Public International Law (master)
  • Publieksgeschiedenis (master)
  • Rechtsgeleerdheid (bachelor)
  • Rechtsgeleerdheid met HBO-vooropleiding (schakelprogramma)
  • Rechtsgeleerdheid met WO-vooropleiding (schakelprogramma)
  • Redacteur/editor (duale master)
  • Religiewetenschappen (bachelor)
  • Religious Studies (research master)
  • Russische en Slavische studies (bachelor)
  • Scandinavië studies (bachelor)
  • Scheikunde (bachelor, joint degree)
  • Security and Network Engineering (master)
  • Sign Language Linguistics (bachelor)
  • Social Sciences (research master)
  • Sociale geografie en Planologie (bachelor)
  • Sociologie (bachelor)
  • Sociology (bachelor)
  • Sociology (master)
  • Sociology (premaster)
  • Software Engineering (master)
  • Spaanse en Latijns-Amerikaanse studies (bachelor)
  • Spirituality and Religion (master)
  • Spirituality and Religion (schakelprogramma)
  • Staats- en bestuursrecht (master)
  • Stads- en architectuurgeschiedenis (master)
  • Stochastics and Financial Mathematics (master)
  • Strafrecht (master)
  • Taalwetenschappen (bachelor)
  • Television and Cross-Media Culture (master)
  • Theaterwetenschap (bachelor)
  • Theatre Studies (master)
  • Universitaire Pabo van Amsterdam (bachelor)
  • Urban and Regional Planning (master)
  • Urban and Regional Planning (premaster)
  • Urban Studies (research master)
  • Vertalen (master)
  • Vertalen (schakelprogramma)
  • Wiskunde (bachelor)

presentation on research methods

Presentation Master's thesis - Martin Ilić - psychological research methods

Microsoft Teams Need help? Externe link

Join the meeting now Externe link

Meeting ID: 336 626 496 859

Passcode: hiNYz5

Abstract reasoning, the ability to solve complex problems by taking away the unnecessary

details (Clement et al., 2007) in order to derive a rule used in solving similar, novel tasks, is

an essential intelligent behaviour that AI deep learning models are generally not yet capable

of yet appears early on in humans. This thesis investigates whether the Emergent Symbol

Binding Network (ESBN; Webb et al., 2021) is a possible candidate for studying the

mechanisms that underlie how abstract visual reasoning (AVCR) ages and develops in

humans. By manipulating ESBN’s architecture when performing two AVR tasks – identity

rules and distribution-of-three - we tested if it could simulate two main developmental

phenomena, i.e. – that higher working memory capacity and improved inhibition control

promote AVR development. Results showed the ESBN failed to simulate the working

memory phenomenon, while the inhibition control phenomenon could not be tested due to the

model’s near-perfect task accuracy. This makes the ESBN an inadequate model for explaining

AVR development, a finding further research should corroborate.

  • Open access
  • Published: 10 May 2024

Challenges and opportunities of English as the medium of instruction in diploma midwifery programs in Bangladesh: a mixed-methods study

  • Anna Williams 1 ,
  • Jennifer R. Stevens 2 ,
  • Rondi Anderson 3 &
  • Malin Bogren 4  

BMC Medical Education volume  24 , Article number:  523 ( 2024 ) Cite this article

Metrics details

English is generally recognized as the international language of science and most research on evidence-based medicine is produced in English. While Bangla is the dominant language in Bangladesh, public midwifery degree programs use English as the medium of instruction (EMI). This enables faculty and student access to the latest evidence-based midwifery content, which is essential for provision of quality care later. Yet, it also poses a barrier, as limited English mastery among students and faculty limits both teaching and learning.

This mixed-methods study investigates the challenges and opportunities associated with the implementation of EMI in the context of diploma midwifery education in Bangladesh. Surveys were sent to principals at 38 public midwifery education institutions, and 14 English instructors at those schools. Additionally, ten key informant interviews were held with select knowledgeable stakeholders with key themes identified.

Surveys found that English instructors are primarily guest lecturers, trained in general or business English, without a standardized curriculum or functional English language laboratories. Three themes were identified in the key informant interviews. First, in addition to students’ challenges with English, faculty mastery of English presented challenges as well. Second, language labs were poorly maintained, often non-functional, and lacked faculty. Third, an alternative education model, such as the English for Specific Purposes (ESP) curriculum,  has potential to strengthen English competencies within midwifery schools.

Conclusions

ESP, which teaches English for application in a specific discipline, is one option available in Bangladesh for midwifery education. Native language instruction and the middle ground of multilingualism are also useful options. Although a major undertaking, investing in an ESP model and translation of technical midwifery content into relevant mother tongues may provide faster and more complete learning. In addition, a tiered system of requirements for English competencies tied to higher levels of midwifery education could build bridges to students to help them access global evidence-based care resources. Higher levels might emphasize English more heavily, while the diploma level would follow a multilingualism approach, teach using an ESP curriculum, and have complementary emphasis on the mother tongue.

Peer Review reports

Introduction

As the international language of science, English holds an important position in the education of healthcare professionals. Globally, most scientific papers are published in English. In many non-native English-speaking countries, English is used as the language of instruction in higher education [ 1 ]. The dominant status held by the English language in the sciences is largely considered to increase global access to scientific information by unifying the scientific community under a single lingua franca [ 2 ].

In Bangladesh, where the mother tongue is Bangla and midwifery diploma programs are taught in English, knowledge of English facilitates student and instructor access to global, continuously updated evidence-based practice guidance. This includes basic and scientific texts, media-based instructional materials (including on life-saving skills), professional journals, and proceedings of medical conferences. Many of these resources are available for free online, which can be particularly useful in healthcare settings that have not integrated evidence-based practice.

In addition to opportunity though, English instruction also creates several challenges. Weak student and faculty English competency may impede midwifery education quality in Bangladesh. Globally, literature has linked limited instructor competency in the language of instruction with reduced depth, nuance, and accuracy in conveying subject matter content [ 3 ]. This can lead to the perpetuation of patterns of care in misalignment with global evidence. In addition, students’ native language proficiency in their topic of study can decline when instruction is in English, limiting native language communication between colleagues on the job later on [ 4 , 5 ].

In this paper, we examine the current status of English language instruction within public diploma midwifery programs in Bangladesh. Midwifery students are not required to demonstrate a certain skill level in English to enter the program. However, they are provided with English classes in the program. Midwifery course materials are in English, while—for ease and practicality—teaching aids and verbal classroom instruction are provided in Bangla. Following graduation, midwifery students must pass a national licensing exam given in English to practice. Upon passing, some new midwives are deployed as public employees and are posted to sub-district health facilities where English is not used by either providers or clients. Others will seek employment as part of non-governmental organization (NGO) projects where English competency can be of value for interacting with global communities, and for participating in NGO-specific on-the-job learning opportunities. The mix of both challenge and opportunity in this context is complex.

Our analysis examines the reasons for the identified English competency gaps within midwifery programs, and potential solutions. We synthesize the findings and discuss solutions in the context of the global literature. Finally, we present a set of viable options for strengthening English competencies among midwifery faculty and students to enable better quality teaching and greater learning comprehension among students.

Study design

We employed a mixed-methods study design [ 6 ] in order to assess the quality of English instruction within education programs, and options for its improvement. Data collection consisted of two surveys of education institutes, a web-search of available English programs in Bangladesh, and key informant interviews. Both surveys followed a structured questionnaire with a combination of open- and closed-ended questions and were designed by the authors. One survey targeted the 38 institute principals and the other targeted 14 of the institutes’ 38 English instructors (those for whom contact information was shared). The web-search focused on generating a list of available English programs in Bangladesh that had viable models that could be tapped into to strengthen English competencies among midwifery faculty and students. Key informant interviews were unstructured and intended to substantiate and deepen understanding of the survey and web-search findings.

No minimum requirements exist for students’ English competencies upon entry into midwifery diploma programs. Students enter directly from higher secondary school (12th standard) and complete the midwifery program over a period of three years. Most students come from modest economic backgrounds having completed their primary and secondary education in Bangla. While English instruction is part of students’ secondary education, skill attainment is low, and assessment standards are not in place to ensure student mastery. To join the program, midwifery students are required to pass a multi-subject entrance exam that includes a component on English competency. However, as no minimum English standard must be met, the exam does not screen out potential midwifery students. Scoring, for instance, is not broken down by subject. This makes it possible to answer zero questions correctly in up to three of the subjects, including English, and pass the exam.

Processes/data collection

Prior to the first survey, principals were contacted by UNFPA with information about the survey and all provided verbal consent to participate. The survey of principals collected general information about the resources available for English instruction at the institutes. It was a nine-item questionnaire with a mix of Yes/No, multiple choice and write-in questions. Specific measures of interest were whether and how many English instructors the institutes had, instructors’ hiring criteria, whether institutes had language labs and if they were in use, and principals’ views on the need for English courses and their ideal mode of delivery (e.g., in-person, online, or a combination). This survey also gathered contact information of institute English instructors. These measures were chosen as they were intended to provide a high-level picture of institutes’ English resources such as faculty availability and qualifications, and use of language labs. To ensure questions were appropriately framed, a pilot test was conducted with two institute principals and small adjustments were subsequently made. Responses were shared via an electronic form sent by email and were used to inform the second survey as well as the key informant interviews. Of the 38 principals, 36 completed the survey.

The second survey, targeting English instructors, gathered information on instructors’ type of employment (e.g., institute faculty or adjunct lecturers); length of employment; student academic focus (e.g., midwifery or nursing); hours of English instruction provided as part of the midwifery diploma program; whether a standard English curriculum was used and if it was tailored toward the healthcare profession; use of digital content in teaching; education and experience in English teaching; and their views on student barriers to learning English. These measures were chosen to provide a basic criterion for assessing quality of English instruction, materials and resources available to students. For instance, instructors’ status as faculty would indicate a stronger degree of integration and belonging to the institute midwifery program than a guest lecturer status which allows for part time instruction with little job security. In addition, use of a standard, professionally developed English curriculum and integration of digital content into classroom learning would be indicative of higher quality than learning materials developed informally by instructors themselves without use of listening content by native speakers in classrooms. The survey was piloted with two English instructors. Based on their feedback, minor adjustments were made to one question, and it was determined that responses were best gathered by phone due to instructors’ limited internet access. Of the 14 instructors contacted, 11 were reached and provided survey responses by phone.

The web-search gathered information on available English language instruction programs for adults in Bangladesh, and the viability of tapping into any of them to improve English competency among midwifery students and faculty. Keywords Bangladesh  +  English courses , English training , English classes , study English and learn English were typed into Google’s search platform. Eleven English language instruction programs were identified. Following this, each program was contacted either by phone or email and further detail about the program’s offerings was collected.

Unstructured key informant interviews were carried out with select knowledgeable individuals to substantiate and enhance the credibility of the survey and web-search findings. Three in-country expert English language instructors and four managers of English language teaching programs were interviewed. In addition, interviews were held with three national-level stakeholders knowledgeable about work to make functional technologically advanced English language laboratories that had been installed at many of the training institutes. Question prompts included queries such as, ‘In your experience, what are the major barriers to Bangla-medium educated students studying in English at the university level?’, ‘What effective methods or curricula are you aware of for improving student English to an appropriate competency level for successful learning in English?’, and, ‘What options do you see for the language lab/s being used, either in their originally intended capacity or otherwise?’

Data analysis

All data were analyzed by the lead researcher. Survey data were entered into a master Excel file and grouped descriptively to highlight trends and outliers, and ultimately enable a clear description of the structure and basic quality attributes (e.g., instructors’ education, hours of English instruction, and curriculum development resources used). Web-search findings were compiled in a second Excel file with columns distinguishing whether they taught general English (often aimed at preparing students for international standard exams), Business English, or English for Specific Purposes (ESP). This enabled separation of standalone English courses taught by individual instructors as part of vocational or academic programs of study in other fields, and programs with an exclusive focus on English language acquisition. Key informant interviews were summarized in a standard notes format using Word. An inductive process of content analysis was carried out, in which content categories were identified and structured to create coherent meaning [ 7 ]. From this, the key overall findings and larger themes that grew from the initial survey and web-search results were drawn out.

The surveys (Tables  1 and 2 ) found that English instructors are primarily long-term male guest lecturers employed at each institute for more than two years. All principal respondents indicated that there is a need for English instruction—18 of the 19 reported that this is best done through a combination of in-person and computer-based instruction. Ten institutes reported that they have an English language lab, but none were used as such. The other institutes did not have language labs. The reported reasons for the labs not being in use were a lack of trained staff to operate them and some components of the technology not being installed or working properly. The findings from the instructors’ survey indicated that English instructors typically develop their own learning materials and teach general English without tailoring content to healthcare contexts. Only two mentioned using a standard textbook to guide their instruction and one described consulting a range of English textbooks to develop learning content. None reported using online or other digital tools for language instruction in their classrooms. Most instructors had an advanced degree (i.e., master’s degree) in English, and seven had received training in teaching English. Interviews with instructors also revealed that they themselves did not have mastery of English, as communication barriers in speaking over the phone appeared consistently across 10 of the 11 instructor respondents.

The web-search and related follow up interviews found that most English instruction programs (10 out of the 11) were designed for teaching general English and/or business English. The majority were offered through private entities aiming to reach individuals intending to study abroad, access employment that required English, or improve their ability to navigate business endeavors in English. One program, developed by the British Council, had flexibility to tailor its structure and some of its content to the needs of midwifery students. However, this was limited in that a significant portion of the content that would be used was developed for global audiences and thus not tailored to a Bangladeshi audience or to any specific discipline. One of the university English programs offered a promising ESP model tailored to midwifery students. It was designed by BRAC University’s Institute of Language for the university’s private midwifery training program.

Three themes emerged from the other key informant interviews (Table  3 ). The first was that, in addition to students’ challenges with English, faculty mastery of English presented challenges as well. Of the 34 faculty members intending to participate in the 2019–2020 cohort for the Dalarna master’s degree, half did not pass the prerequisite English exam. Ultimately, simultaneous English-Bangla translation was necessary for close to half of the faculty to enable their participation in the master’s program. English language limitations also precluded one faculty member from participating in an international PhD program in midwifery.

The second theme highlighted the language labs’ lack of usability. The language labs consisted of computers, an interactive whiteboard, audio-visual equipment, and associated software to allow for individualized direct interactions between teacher and student. However, due to the lack of appropriately trained staff to manage, care for and use the language lab equipment, the investment required to make the labs functional appeared to outweigh the learning advantages doing so would provide. Interviews revealed that work was being done, supported by a donor agency, on just one language lab, to explore whether it could be made functional. The work was described as costly and challenging, and required purchasing a software license from abroad, thus likely being impractical to apply to the other labs and sustain over multiple years.

The third theme was around the ESP curriculum model. The program developers had employed evidence-informed thinking to develop the ESP learning content and consulted student midwives on their learning preferences. Due to the student input, at least 80% of the content was designed to directly relate to the practice of midwifery in Bangladesh, while the remaining 10–20% references globally relevant content. This balance was struck based on students’ expressed interest in having some exposure to English usage outside of Bangladesh for their personal interest. For conversation practice, the modules integrated realistic scenarios of midwives interacting with doctors, nurses and patients. Also built into written activities were exercises where students were prompted to describe relevant health topics they are concurrently studying in their health, science or clinical classes. Given the midwifery students’ educational backgrounds and intended placements in rural parts of Bangladesh, an ESP curriculum model appeared to be the most beneficial existing program to pursue tapping into to strengthen English competencies within midwifery programs. This was because the content would likely be more accessible to students than a general English course by having vocabulary, activities and examples directly relevant to the midwifery profession.

The study findings demonstrate key weaknesses in the current model of English instruction taught in public midwifery programs. Notably, the quantitative findings revealed that some English instructors do not have training in teaching English, and none used standard curricula or online resources to structure and enhance their classroom content. In addition, weak mastery of English among midwifery faculty was identified in the qualitative data, which calls into question faculty’s ability to fully understand and accurately convey content from English learning materials. Global literature indicates that this is not a unique situation. Many healthcare faculty and students in low-resource settings, in fact, are faced with delivering and acquiring knowledge in a language they have not sufficiently mastered [ 8 ]. As a significant barrier to knowledge and skill acquisition for evidence-based care, this requires more attention from global midwifery educators [ 9 ].

Also holding back students’ English development is the finding from both the quantitative and qualitative data that none of the high-tech language labs were being used as intended. This indicates a misalignment with the investment against the reality of the resources at the institutes to use them. While setting up the costly language labs appears to have been a large investment with little to no return, it does demonstrate that strengthening English language instruction in post-secondary public education settings is a priority that the Bangladesh government is willing to invest in. However, scaling up access to an ESP curriculum model tailored to future midwifery practitioners in Bangladesh may be a more worthwhile investment than language labs [ 10 ]. 

The ESP approach teaches English for application in a specific discipline. It does this by using vocabulary, examples, demonstrations, scenarios and practice activities that are directly related to the context and professions those studying English live and work (or are preparing to work) in. One way ESP has been described, attributed to Hutchinson and Waters (1987), is, “ESP should properly be seen not as any particular language product but as an approach to language teaching in which all decisions as to content and method are based on the learner’s reason for learning” [ 11 ]. It is proposed by linguistic education researchers as a viable model for strengthening language mastery and subject matter comprehension in EMI university contexts [ 12 ].

Though it did not arise as a finding, reviewing the literature highlighted that Bangla language instruction may be an additional, potentially viable option. Linguistic research has long shown that students learn more thoroughly and efficiently in their mother tongue [ 12 ]. Another perhaps more desirable option may be multilingualism, which entails recognizing native languages as complementary in EMI classrooms, and using them through verbal instruction and supplemental course materials. Kirkpatrick, a leading scholar of EMI in Asia, suggests that multilingualism be formally integrated into EMI university settings [ 13 ]. This approach is supported by evidence showing that the amount of native language support students need for optimal learning is inversely proportional to their degree of English proficiency [ 14 ].

Ultimately, despite the language related learning limitations identified in this study, and the opportunities presented by native language and multilingualism approaches, there remains a fundamental need for members of the midwifery profession in Bangladesh to use up-to-date guidance on evidence-based midwifery care [ 11 ]. Doing that currently requires English language competence. Perhaps a tiered system of requirements for English competencies that are tied to diploma, Bachelor’s, Master’s and PhD midwifery programs could build bridges for more advanced students to access global resources. Higher academic levels might emphasize English more heavily, while the diploma level could follow a multilingualism approach—teaching using an ESP curriculum and integrating Bangla strategically to support optimal knowledge acquisition for future practice in rural facilities. Ideally, scores on a standard English competency exam would be used to assess students’ language competencies prior to entrance in English-based programs and that this would require more stringent English skill development prior to entering a midwifery program.

Methodological considerations

One of the limitations of this study is that it relied on self-reports and observation, rather than tested language and subject matter competencies. Its strengths though are in the relatively large number of education institutes that participated in the study, and the breadth of knowledge about faculty and student subject matter expertise among study co-authors. It was recognized that the lead researcher might be biased toward pre-determined perceptions of English competencies being a barrier to teaching and learning held by the lead institution (UNFPA). It was also recognized that due to the inherent power imbalance between researcher and participants, the manner of gathering data and engaging with stakeholders may contribute to confirmation bias, with respondents primarily sharing what they anticipated the researcher wished to hear (e.g., that English needed strengthening and the lead agency should take action to support the strengthening). The researcher thus engaged with participants independently of UNFPA and employed reflexivity by designing and carrying out the surveys to remotely collect standard data from institutes, as well as casting a wide net across institutes to increase broad representation. In addition, while institutes were informed that the surveys were gathering information about the English instruction within the institutes, no information was shared about potential new support to institutes. Finally, the researcher validated and gathered further details on the relevant information identified in the surveys through key informant interviews, which were held with stakeholders independent of UNFPA.

Adapting and scaling up the existing ESP modules found in this study, and integrating Bangla where it can enhance subject-matter learning, may be a useful way to help midwifery students and faculty improve their knowledge, skills, and critical thinking related to the field of midwifery. Given the educational backgrounds and likely work locations of most midwives in Bangladesh and many other LMICs, practitioners may want to consider investing in more opportunities for local midwives to teach and learn in their mother tongue. This type of investment would ideally be paired with a tiered system in which more advanced English competencies are required at higher-levels of education to ensure integration of global, evidence-based approaches into local standards of care.

Declarations.

Data availability

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.

Abbreviations

Bangladesh Rehabilitation Assistance Committee

English medium instruction

English for Specific Purposes

Low- and Middle-Income Countries

Ministry of Health and Family Welfare

United Nations Population Fund

Macaro E. English medium instruction: global views and countries in focus. Lang Teach. 2019;52(2):231–48.

Article   Google Scholar  

Montgomery S. Does science need a global language? English and the future of research. University of Chicago Press; 2013.

Doiz A, Lasagabaster D, Pavón V. The integration of language and content in English-medium instruction courses: lecturers’ beliefs and practices. Ibérica. 2019;38:151–76.

Google Scholar  

Gallo F, Bermudez-Margareto B, et al. First language attrition: what it is, what it isn’t, and what it can be. National Research University Higher School of Economics; 2019.

Yilmaz G, Schmidt M. First language attrition and bilingualism, adult speakers. Bilingual cognition and language, the state of the science across its sub-fields (Ch. 11). John Benjamin’s Publishing Company.

Polit DF, Beck CT. (2021). Nursing research: generating and assessing evidence for nursing practice. Eleventh edition. Philadelphia, Wolters Kluwer.

Scheufele, B. (2008). Content Analysis, Qualitative. The international encyclopedia of communication John Wiley & Sons.

Pelicioni PHS, Michell A, Rocha dos Santos PC, Schulz JS. Facilitating Access to Current, evidence-based Health Information for Non-english speakers. Healthcare. 2023;11(13):1932.

Pakenham-Walsh N. Improving the availability of health research in languages other than English. Lancet. 2018;8. http://dx.doi.org/10.1016/ S2214-109X(18)30384-X.

Islam M. The differences and similarities between English for Specific purposes(ESP) and English for General purposes(EGP) teachers. Journal of Research in Humanities; 2015.

Lamri C, Dr et al. (2016-2017). English for Specific Purposes (1st Semester) Third Year ‘License’ Level. Department of English Language, Faculty of Arts and Language, University of Tlemcen

Jiang L, Zhang LJ, May S. (2016). Implementing English-medium instruction (EMI) in China: teachers’ practices and perceptions, and students’ learning motivation and needs. Int J Bilingual Educ Bilinguaism 22(2).

Kirkpatrick A. The rise of EMI: challenges for Asia. In, English medium instruction: global views and countries in focus. Lang Teach. 2015;52(2):231–48.

Kavaliauskiene G. Role of the mother tongue in learning English for specific purposes. ESP World. 2009;1(22):8.

Download references

Acknowledgements

The authors acknowledge Farida Begum, Rabeya Basri, and Pronita Raha for their contributions to data collection for this assessment.

This project under which this study was carried out was funded by funded by the Foreign Commonwealth and Development Office.

Open access funding provided by University of Gothenburg.

Author information

Authors and affiliations.

Data, Design + Writing, Portland, OR, USA

Anna Williams

Goodbirth Network, North Adams, USA, MA

Jennifer R. Stevens

Project HOPE, Washington DC, USA

Rondi Anderson

University of Gothenburg, Gothenburg, Sweden

Malin Bogren

You can also search for this author in PubMed   Google Scholar

Contributions

Authors contributions in the development of this paper were as follows: AW- Concept, acquisition, drafting, revision, analysis, interpretation. JRS- Concept, revision. RA- Concept, analysis MB- Revision, analysis, interpretationAll authors read and approved the final manuscript.

Ethics declarations

Ethics approval.

This study was part of a larger project in Bangladesh approved by the Ministry of Health and Family Welfare (MOHFW) with project ID UZJ31. The MOHFW project approval allows data collection of this type, that is carried out as part of routine program monitoring and improvement, including informed verbal consent for surveys and key informant interviews.

Consent for publication

Not applicable.

Competing interests

The authors of this study have no competing interests and no conflicts of interest.

Additional information

Publisher’s note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ . The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/ ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Cite this article.

Williams, A., Stevens, J., Anderson, R. et al. Challenges and opportunities of English as the medium of instruction in diploma midwifery programs in Bangladesh: a mixed-methods study. BMC Med Educ 24 , 523 (2024). https://doi.org/10.1186/s12909-024-05499-8

Download citation

Received : 31 July 2023

Accepted : 02 May 2024

Published : 10 May 2024

DOI : https://doi.org/10.1186/s12909-024-05499-8

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • “English for special purposes”
  • “English medium instruction”

BMC Medical Education

ISSN: 1472-6920

presentation on research methods

Got any suggestions?

We want to hear from you! Send us a message and help improve Slidesgo

Top searches

Trending searches

presentation on research methods

11 templates

presentation on research methods

teacher appreciation

presentation on research methods

mother teresa

18 templates

presentation on research methods

memorial day

12 templates

presentation on research methods

summer vacation

25 templates

presentation on research methods

Research Presentation templates

Customize our free themes and templates for google slides or powerpoint and explain what your research is about. these designs are easy to edit, so that will speed things up.

Nursing Capstone presentation template

Premium template

Unlock this template and gain unlimited access

Nursing Capstone

In medical contexts, a capstone is often the final course in a nursing degree, a project of vital importance. It’s very demanding, so if you need help with the presentation, use this free professional template. Leave the design to us and focus on your data!

Formal Research Paper Slideshow presentation template

Formal Research Paper Slideshow

Have you seen these slides? They are perfect for presenting your research paper! First of all, because we have included all the necessary sections of this type of work, such as hypothesis, objectives, methodology, analysis and the conclusions of the paper. The second reason is that the formal style will...

Genetic Diseases: Hemophilia presentation template

Genetic Diseases: Hemophilia

Download the "Genetic Diseases: Hemophilia" presentation for PowerPoint or Google Slides. Taking care of yourself and of those around you is key! By learning about various illnesses and how they are spread, people can get a better understanding of them and make informed decisions about eating, exercise, and seeking medical...

Gym Business Plan presentation template

Gym Business Plan

Download the Gym Business Plan presentation for PowerPoint or Google Slides. Conveying your business plan accurately and effectively is the cornerstone of any successful venture. This template allows you to pinpoint essential elements of your operation while your audience will appreciate the clear and concise presentation, eliminating any potential misunderstandings....

Economics Thesis presentation template

Economics Thesis

If numbers, exchange rates, money and trading are your forte, odds are you’re already working on an economics thesis for your master’s degree. Defending your dissertation is the last step and the most difficult one, but Slidesgo can help you. Here’s our new free presentation template with a focus on...

Elegant Black & White Thesis Defense presentation template

Elegant Black & White Thesis Defense

Present your research findings with grace and assertiveness through this template. Available for Google Slides and PowerPoint, this design set offers minimalistic charm with its simple, gray scale elegance. The template not only provides a polished platform to showcase your thesis but also ensures seamless and efficient delivery of your...

Breakthrough Nervous System: Fourth Brain Layer presentation template

Breakthrough Nervous System: Fourth Brain Layer

Download the Breakthrough Nervous System: Fourth Brain Layer presentation for PowerPoint or Google Slides.Treating diseases involves a lot of prior research and clinical trials. But whenever there’s a new discovery, a revolutionary finding that opens the door to new treatments, vaccines or ways to prevent illnesses, it’s great news. Should...

AP Research Defense for High School presentation template

AP Research Defense for High School

AP, or Advanced Placement, is a North American educational program that offers a rigorous course designed to challenge and prepare high school students for their future careers and academic pursuits. It requires students to conduct independent research, write a lengthy academic paper, and present their findings to a panel of...

Nervous Membrane Inflammation: Meningitis presentation template

Nervous Membrane Inflammation: Meningitis

Download the Nervous Membrane Inflammation: Meningitis presentation for PowerPoint or Google Slides. Taking care of yourself and of those around you is key! By learning about various illnesses and how they are spread, people can get a better understanding of them and make informed decisions about eating, exercise, and seeking...

Medical Disease Explained With Cycle Diagrams presentation template

Medical Disease Explained With Cycle Diagrams

Download the "Medical Disease Explained With Cycle Diagrams" presentation for PowerPoint or Google Slides. Taking care of yourself and of those around you is key! By learning about various illnesses and how they are spread, people can get a better understanding of them and make informed decisions about eating, exercise,...

Data Analysis for Marketing Strategies presentation template

Data Analysis for Marketing Strategies

With the amount of data available through various digital platforms, it's easier than ever to determine the trends and preferences of your target audience. By collecting and analyzing data, marketers can create highly personalized campaigns that align with the exact needs and wants of their customers. If you're trying to...

Anatomy Poster for High School presentation template

Anatomy Poster for High School

Download the Anatomy Poster for High School presentation for PowerPoint or Google Slides. High school students are approaching adulthood, and therefore, this template’s design reflects the mature nature of their education. Customize the well-defined sections, integrate multimedia and interactive elements and allow space for research or group projects—the possibilities of...

Project Research Infographics presentation template

Project Research Infographics

Download the "Project Research Infographics" template for PowerPoint or Google Slides and discover the power of infographics. An infographic resource gives you the ability to showcase your content in a more visual way, which will make it easier for your audience to understand your topic. Slidesgo infographics like this set...

Research Methods Lesson presentation template

Research Methods Lesson

If you deal with Science, it’s important to learn more about research methods. Teach your students about them with this presentation full of illustrations and drawings related to labs. Use graphs, maps, tables and overview diagrams to support your lecture in a visual way!

Market Research Consulting presentation template

Market Research Consulting

Download the Market Research Consulting presentation for PowerPoint or Google Slides. Your business demands smart solutions, and this consulting toolkit template is just that! This versatile and ingenious toolkit will provide you with the essential tools you need to shape your strategies and make informed decisions. Whether you are devising...

Research Project Proposal presentation template

Research Project Proposal

Before embarking yourself on a new project, especially if it’s about research, you need to set out a proposal to explain its viability. Here at Slidesgo we’re offering this theme that you can actually use for any kind of project, regardless of the topic.

Pregnancy Breakthrough presentation template

Pregnancy Breakthrough

Giving birth to a baby is a beautiful occasion, a manifestation of love between two people. Obstetrics are key during pregnancy, so how about giving a presentation about the latest breakthrough in this field? Our free medical template will come in handy.

SWOT Analysis Infographics presentation template

SWOT Analysis Infographics

Discover the strengths, weaknesses, opportunities and threats of your own company performing a SWOT analysis. Use this basic strategic planning to evaluate your position with these new infographics created by Slidesgo.

  • Page 1 of 86

Great presentations, faster

Slidesgo for Google Slides :

The easy way to wow

presentation on research methods

Register for free and start editing online

A surprising solution for reducing our food waste

A third of food produced is wasted globally, making food waste a major problem.

Every year, we waste 1.3 billion tonnes of food. Here's how that could change. Image:  Pexels/Kelly

.chakra .wef-1c7l3mo{-webkit-transition:all 0.15s ease-out;transition:all 0.15s ease-out;cursor:pointer;-webkit-text-decoration:none;text-decoration:none;outline:none;color:inherit;}.chakra .wef-1c7l3mo:hover,.chakra .wef-1c7l3mo[data-hover]{-webkit-text-decoration:underline;text-decoration:underline;}.chakra .wef-1c7l3mo:focus,.chakra .wef-1c7l3mo[data-focus]{box-shadow:0 0 0 3px rgba(168,203,251,0.5);} Cathrine Jansson-Boyd

presentation on research methods

.chakra .wef-9dduvl{margin-top:16px;margin-bottom:16px;line-height:1.388;font-size:1.25rem;}@media screen and (min-width:56.5rem){.chakra .wef-9dduvl{font-size:1.125rem;}} Explore and monitor how .chakra .wef-15eoq1r{margin-top:16px;margin-bottom:16px;line-height:1.388;font-size:1.25rem;color:#F7DB5E;}@media screen and (min-width:56.5rem){.chakra .wef-15eoq1r{font-size:1.125rem;}} SDG 02: Zero Hunger is affecting economies, industries and global issues

A hand holding a looking glass by a lake

.chakra .wef-1nk5u5d{margin-top:16px;margin-bottom:16px;line-height:1.388;color:#2846F8;font-size:1.25rem;}@media screen and (min-width:56.5rem){.chakra .wef-1nk5u5d{font-size:1.125rem;}} Get involved with our crowdsourced digital platform to deliver impact at scale

Stay up to date:, food insecurity.

  • Every year, 1.3 billion tonnes of food is wasted globally, the equivalent of one-third of all food produced for human consumption.
  • Busy lives and cooking habits lead to neglecting fresh produce until it spoils, adding to the problem.
  • New research finds that keeping a 'food log' for 6 weeks can reduce the amount of waste by an average of 108g per week, an effect that can still be seen six months later.

You’ve had a long day and you’re tired. Faced with making dinner, you look in the fridge and decide to cook something that requires little effort. This is a common scenario, and one that many people act out without really thinking about it.

The fact that there is often little or no conscious thought involved in routine daily food preparation means that ingredients that must be used before they expire are often left to go off.

Two billion people in the world currently suffer from malnutrition and according to some estimates, we need 60% more food to feed the global population by 2050. Yet the agricultural sector is ill-equipped to meet this demand: 700 million of its workers currently live in poverty, and it is already responsible for 70% of the world’s water consumption and 30% of global greenhouse gas emissions.

New technologies could help our food systems become more sustainable and efficient, but unfortunately the agricultural sector has fallen behind other sectors in terms of technology adoption.

Launched in 2018, the Forum’s Innovation with a Purpose Platform is a large-scale partnership that facilitates the adoption of new technologies and other innovations to transform the way we produce, distribute and consume our food.

With research, increasing investments in new agriculture technologies and the integration of local and regional initiatives aimed at enhancing food security, the platform is working with over 50 partner institutions and 1,000 leaders around the world to leverage emerging technologies to make our food systems more sustainable, inclusive and efficient.

Learn more about Innovation with a Purpose's impact and contact us to see how you can get involved.

In research that colleagues and I recently published , we found that overcoming this habitual behaviour is key to cutting food waste. Here’s how to do it.

Every year, 1.3 billion tonnes of food is wasted globally. This is the equivalent of one-third of all the food produced for human consumption.

In the UK alone, households wasted 6.4 million tonnes of food between 2021 and 2022. Accounting for the fossil energy used to grow and harvest that food, as well as the greenhouse gases released when it rots in fields or landfills, this waste equates to 18 million tonnes of CO₂ emissions.

Food waste harms the environment, but reducing how much food is produced only to be thrown away can curb hunger . It could also save the world more than US$120 billion yearly (£96 billion) – and around £700 a year per household.

Rotting food and food waste produces methane – a potent greenhouse gas.

We measured fruit and vegetable waste from 154 households across the UK for an initial six-week period. Fruit and vegetables are among the most commonly wasted types of food. This may be because supermarkets often sell these ingredients in bulk or because people buying them sometimes fancy something less healthy and more convenient to prepare when the time comes to cook.

During those six weeks, half of the participants were asked to log what fresh fruit and vegetables they bought and when their purchases had to be used according to the label on the packaging, as well as guidelines provided by the researchers.

In each of these homes, the log was placed on the fridge as a daily reminder of what needed to be used each day to avoid waste. Participants also received daily text messages reminding them to check their food log and add any newly bought fruit and vegetables.

The other half of the households involved in this experiment simply measured their food waste at the end of each week without any reminders to use the fresh produce they had.

We expected the half of households receiving reminders to cut their waste more effectively – in fact, there was only a small difference between the two groups. But we did find that simply measuring fresh produce waste made all households more likely to think about what they were wasting.

This was evident from a range of responses from the participants. Taking part in the study also made participants feel as if they could control the amount of food they were throwing away.

It seems that simply asking people to measure their food waste each week for six weeks kickstarts a thinking process that guides people’s behaviour in future.

Food waste on the brain

Our findings may seem obvious, but there is more to them.

We found that across all households the reduction of fresh produce waste averaged 108 grams a week. This was sustained for six months after the experiment ended.

The experience of measuring food waste weekly during the experiment seemed to instil a mindfulness about food waste that meant participants were still throwing less away half a year on. It is interesting that only a short period of conscious effort is necessary to encourage lasting changes in behaviour.

Don't forget about food waste.

Research into the psychology of food waste tends to focus on nudges, which are subliminal actions to change behaviour, such as menus designed to highlight plant-based options. It is not clear whether such methods, which bypass the conscious mind, work in the long term .

Our study suggests that it takes thought to alter habits. But the good news is that we found people only had to think about reducing food waste for a short time to form an enduring habit of reducing the amount of food they throw away.

Have you read?

7 innovative solutions for fighting food waste, food waste makes up ‘half’ of global food system emissions, could dehydrating meat and vegetables help solve the global food waste problem.

Most people have busy lives and simply don’t have the mental capacity to spare each day. Strategies for reducing food waste that require only a short-term commitment of mental effort are likely to be most effective.

And even a small reduction in household food waste can make a difference. Our study showed that it is relatively easy for people to cut how much fruit and vegetables they discard each week. If just 1,000 people could do the same, it would save over 9.5 tonne of CO₂ a year, the equivalent of 1,140,000 smartphone charges.

Thinking about food waste for six weeks is a small price to pay if the result is a significant and long-term difference to our planet’s wellbeing.

Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

The Agenda .chakra .wef-n7bacu{margin-top:16px;margin-bottom:16px;line-height:1.388;font-weight:400;} Weekly

A weekly update of the most important issues driving the global agenda

.chakra .wef-1dtnjt5{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;} More on Food and Water .chakra .wef-17xejub{-webkit-flex:1;-ms-flex:1;flex:1;justify-self:stretch;-webkit-align-self:stretch;-ms-flex-item-align:stretch;align-self:stretch;} .chakra .wef-nr1rr4{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;white-space:normal;vertical-align:middle;text-transform:uppercase;font-size:0.75rem;border-radius:0.25rem;font-weight:700;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;line-height:1.2;-webkit-letter-spacing:1.25px;-moz-letter-spacing:1.25px;-ms-letter-spacing:1.25px;letter-spacing:1.25px;background:none;padding:0px;color:#B3B3B3;-webkit-box-decoration-break:clone;box-decoration-break:clone;-webkit-box-decoration-break:clone;}@media screen and (min-width:37.5rem){.chakra .wef-nr1rr4{font-size:0.875rem;}}@media screen and (min-width:56.5rem){.chakra .wef-nr1rr4{font-size:1rem;}} See all

presentation on research methods

Leveraging technology and innovation to transform food systems

May 6, 2024

presentation on research methods

These solar-powered sensors can give coffee plants a voice

presentation on research methods

How to finance the transition to climate-smart agriculture

Greg Goodwin and John Stackhouse

April 29, 2024

presentation on research methods

How Costa Rica made its seas work for fishermen and for sharks

Diego Vincenzi

presentation on research methods

Agritech: Shaping Agriculture in Emerging Economies, Today and Tomorrow

presentation on research methods

From predicting heatwaves to developing climate-resilient seeds: Here’s how agritech can help farmers

Pooja Chhabria and Michelle Meineke

April 28, 2024

U.S. flag

An official website of the United States government

Here’s how you know

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Take action

  • Report an antitrust violation
  • File adjudicative documents
  • Find banned debt collectors
  • View competition guidance
  • Competition Matters Blog

New HSR thresholds and filing fees for 2024

View all Competition Matters Blog posts

We work to advance government policies that protect consumers and promote competition.

View Policy

Search or browse the Legal Library

Find legal resources and guidance to understand your business responsibilities and comply with the law.

Browse legal resources

  • Find policy statements
  • Submit a public comment

presentation on research methods

Vision and Priorities

Memo from Chair Lina M. Khan to commission staff and commissioners regarding the vision and priorities for the FTC.

Technology Blog

Consumer facing applications: a quote book from the tech summit on ai.

View all Technology Blog posts

Advice and Guidance

Learn more about your rights as a consumer and how to spot and avoid scams. Find the resources you need to understand how consumer protection law impacts your business.

  • Report fraud
  • Report identity theft
  • Register for Do Not Call
  • Sign up for consumer alerts

Get Business Blog updates

  • Get your free credit report
  • Find refund cases
  • Order bulk publications
  • Consumer Advice
  • Shopping and Donating
  • Credit, Loans, and Debt
  • Jobs and Making Money
  • Unwanted Calls, Emails, and Texts
  • Identity Theft and Online Security
  • Business Guidance
  • Advertising and Marketing
  • Credit and Finance
  • Privacy and Security
  • By Industry
  • For Small Businesses
  • Browse Business Guidance Resources
  • Business Blog

Servicemembers: Your tool for financial readiness

Visit militaryconsumer.gov

Get consumer protection basics, plain and simple

Visit consumer.gov

Learn how the FTC protects free enterprise and consumers

Visit Competition Counts

Looking for competition guidance?

  • Competition Guidance

News and Events

Latest news, betterhelp customers will begin receiving notices about refunds related to a 2023 privacy settlement with ftc.

View News and Events

Upcoming Event

Ftc compliance webinar on final noncompetes rule.

View more Events

Sign up for the latest news

Follow us on social media

-->   -->   -->   -->   -->  

gaming controller illustration

Playing it Safe: Explore the FTC's Top Video Game Cases

Learn about the FTC's notable video game cases and what our agency is doing to keep the public safe.

Latest Data Visualization

Visualization of FTC Refunds to Consumers

FTC Refunds to Consumers

Explore refund statistics including where refunds were sent and the dollar amounts refunded with this visualization.

About the FTC

Our mission is protecting the public from deceptive or unfair business practices and from unfair methods of competition through law enforcement, advocacy, research, and education.

Learn more about the FTC

Lina M. Khan

Meet the Chair

Lina M. Khan was sworn in as Chair of the Federal Trade Commission on June 15, 2021.

Chair Lina M. Khan

Looking for legal documents or records? Search the Legal Library instead.

  • Cases and Proceedings
  • Premerger Notification Program
  • Merger Review
  • Anticompetitive Practices
  • Competition and Consumer Protection Guidance Documents
  • Warning Letters
  • Consumer Sentinel Network
  • Criminal Liaison Unit
  • FTC Refund Programs
  • Notices of Penalty Offenses
  • Advocacy and Research
  • Advisory Opinions
  • Cooperation Agreements
  • Federal Register Notices
  • Public Comments
  • Policy Statements
  • International
  • Office of Technology Blog
  • Military Consumer
  • Consumer.gov
  • Bulk Publications
  • Data and Visualizations
  • Stay Connected
  • Commissioners and Staff
  • Bureaus and Offices
  • Budget and Strategy
  • Office of Inspector General
  • Careers at the FTC

Approaches to Address AI-enabled Voice Cloning

Facebook

Today, the FTC announced four winners of the Voice Cloning Challenge, which was launched to address the present and emerging harms of artificial intelligence, or “AI”-enabled voice cloning technologies. The FTC received submissions from a wide range of individuals, teams, and organizations. The winners are outlined in the press release and on the  Challenge website .

The agency called for ideas that can be implemented during at least one of the following three intervention points to address the risks of fraud, scams, and misuse of biometric data: (1) upstream prevention or authentication; (2) real-time detection or monitoring; and (3) post-use evaluation of existing content. Solutions were evaluated for their administrability and feasibility to execute, ability to go upstream and reduce consumer burden, and resilience to an evolving technical landscape.

Below, we highlight several potential methods at each stage of intervention. While some of the methods may not differ across the three intervention points, the implementation at each stage does. To that end, we discuss some challenges and benefits of implementing approaches to address the risks of voice cloning—and highlight that there is no single solution.

Leveraging solutions to provide upstream prevention or authentication

Prevention or authentication refers to techniques that limit the application and misuse of voice cloning software by unauthorized users. These interventions are important because they aim to address the core source of potential harm with regards to voice cloning technologies by focusing on ways to systematically authenticate which content is real versus fake before it reaches a consumer.

One commonly discussed approach for prevention and authentication is watermarking, which often refers to a “broad array of techniques” for embedding an identifying mark into a piece of media to track its origin to help prevent the misuse of cloned audio clips. [1] For instance, when embedded by AI developers, such techniques can be used to allow someone to know if a piece of content was generated by AI.

While some implementations of watermarking can help detect and deter harm, there are also limitations. For example, fraudsters may be able to remove a watermark signaling content is inauthentic or distort the audio in order to make their audio clip seem authentic. [2] Invisible or visible watermarks can be altered or removed, potentially rendering them unhelpful for differentiating between real and synthetic content. [3] If, for example, a bank or hospital incorrectly marks a voice as authentic when it is actually cloned, such false positives could be particularly harmful, especially if watermarking is implemented in sensitive settings, such as authentication for a financial or healthcare accounts. [4]

Another option to help address harm further upstream may be establishing clear ways of validating humans who use communication systems – such as phones or videoconferencing platforms. For example, if a person’s doctor’s office is calling, they could have confidence in the call through a verification scheme that guarantees the call is originating from the correct device—giving assurance to the patient that the voice on the other end of the call is indeed their doctor’s. Upstream actors, including handset developers, telecommunication providers, video conferencing providers, and messaging platforms will need to work to ensure that such authentication mechanisms are implemented for verified users.

Applying solutions to detect solutions in real-time

Real-time detection or monitoring includes methods to detect cloned voices or the use of voice cloning technology at the time during which a specific event occurs. Studies reveal a spectrum of efficacy for voice cloning detection solutions. [5] The effectiveness of such solutions is especially important when considering the types of AI-enabled voice cloning scams – such as fraudulent extortion scams – that the technology can enable.

Real-time solutions should also be feasible to deploy. For example, a solution that can be implemented via a Software Development Kit (SDK), would allow for more developers to incorporate the solution. In addition, solutions that are less resource intensive could be more widely implemented. [6] For example, detection software that is able to run directly on consumer devices – like phones and laptops, as opposed to software that requires complex hardware – could give consumers real-time feedback to know if the voice on the other end of the line is real.

Using solutions to evaluate existing content

In an ideal world, upstream actors would have prevented nefarious voice clones by authenticating the voice or detecting it in real-time. However, we already live in a world where troves of AI-generated content exist and are accessible to anyone – and voice cloning tools are more readily available every day.

The post-use evaluation of existing content includes methods to check if already-created audio clips such as voice mail messages and audio direct messages contain cloned voices. One potential way to evaluate existing audio clips is to develop algorithms that detect inconsistencies in voice cloned clips. [7] For example, some voice cloning evaluation tools look for audio signals, like abnormal soundwaves in an audio file, to detect whether a clip is real or fake. [8]

As voice cloning technology develops, fraudsters will continue to try to avoid detection, and those developing detection technology will continue to fight it. As voice cloning technology becomes more sophisticated and these signals become harder to pick up, current evaluation schemes may need to be adapted in order to be effective in detecting cloned voices.

Looking forward: Preventing and deterring AI-enabled voice cloning scams and fraud

To select the winners, the judges and FTC analyzed the concepts’ strengths, limitations and workarounds to ensure that the response was robust enough to combat the evolving risks of voice cloning. While there are many exciting ideas with great potential, there’s still no silver bullet to prevent the harms posed by voice cloning. The Challenge recognizes people who are pushing science and proposing different options so that society has a varied landscape of solutions; but more innovation and testing is always needed. The top solutions can help highlight possible ways to prevent fraudulent uses of AI-enabled voice cloning technologies today, as well as show a path to how concepts like these can move forward to implementation across the three stages of prevention and authentication, real-time detection, and post-use evaluation of existing content.

Any solution to voice cloning-enabled scams will require engagement with key partners – including the FCC, DOJ, and states, as well as the Industry Traceback Group and other industry stakeholders, to maximize the tools and abilities each have. It is also necessary to incentivize actors to comply with and implement new technologies and policies.

As seen with the agency’s recent history on robocalls, the FTC can be more effective by going upstream. A strong approach to AI-enabled voice cloning ensures that AI companies releasing tools that have the potential for misuse may be held liable for assisting and facilitating illegal activity in certain circumstances if they do not implement guardrails to prevent it. Further, voice service providers – telephone and VoIP companies – need to continue making progress against illegal calls.

We stand at an inflection point. The FTC has made clear that it is prepared to use all tools to hold bad actors accountable. That includes sponsoring this Challenge, as well as law enforcement under Section 5 of the FTC Act and the Telemarketing Sales Rule. In addition, the Commission has recently enacted a new  Impersonation Rule , which will give the agency additional tools to deter and halt deceptive voice cloning practices. The Commission also is considering the adoption of other rules, such as the pending  Consumer Reviews and Testimonials Rule , which similarly would expand the agency’s toolkit. There is no AI exemption from the laws on the books and the FTC remains committed to protecting consumers from the misuse of “AI”-enabled voice cloning technologies.

[1] https://www.brookings.edu/articles/detecting-ai-fingerprints-a-guide-to-watermarking-and-beyond/

[2] https://arxiv.org/pdf/2306.01953.pdf

[3] https://www.technologyreview.com/2023/08/09/1077516/watermarking-ai-trust-online/

[4] https://www.banking.senate.gov/imo/media/doc/voice_cloning_financial_scams.pdf

[5] https://arxiv.org/pdf/2307.07683.pdf ;  https://arxiv.org/pdf/2005.13770.pdf

[6] https://arxiv.org/pdf/2308.14970.pdf

[7] https://arxiv.org/pdf/2402.18085v1.pdf

[8]   https://arxiv.org/pdf/2307.07683.pdf ; https://arxiv.org/pdf/2402.18085v1.pdf

  • Artificial Intelligence
  • Office of Technology

More from the Technology Blog

Data and models: a quote book from the tech summit on ai, security principles: addressing vulnerabilities systematically, government agencies act to elevate and build tech and digital capacity.

IMAGES

  1. Quantitative Research Methods PowerPoint Template

    presentation on research methods

  2. 15 Types of Research Methods (2024)

    presentation on research methods

  3. Research Methods

    presentation on research methods

  4. Quantitative Research Methods PowerPoint Template

    presentation on research methods

  5. Research Process PPT

    presentation on research methods

  6. PPT

    presentation on research methods

VIDEO

  1. RESEARCH METHODOLOGY (PRESENTATION)

  2. Effective Presentation by Adnan Farooq

  3. Types of Research Design

  4. VIDEO PRESENTATION RESEARCH METHODS MGT648

  5. How to PRESENT your research: 11 TIPS for presentation day with an EXAMPLE

  6. PhD Coursework Presentation 1

COMMENTS

  1. How to Make a Successful Research Presentation

    Turning a research paper into a visual presentation is difficult; there are pitfalls, and navigating the path to a brief, informative presentation takes time and practice. As a TA for GEO/WRI 201: Methods in Data Analysis & Scientific Writing this past fall, I saw how this process works from an instructor's standpoint.

  2. Research Methods: Basic Concepts and Methods

    2. Learning Objectives By the end of this presentation you will able to: 1-Define and explain the concept of scientific research, deduction and induction reasoning , theory, hypothesis and empiricism. 2- Clarify the Sources of knowledge/truth 3 - Identify and explain the features and application of different categories and sub- categories of research methods 4- Characteristics of good topic. 5 ...

  3. How to Create and Deliver a Research Presentation

    2. Research Presentation Scientific Method Diagram PowerPoint Template. Whenever you intend to raise questions, expose the methodology you used for your research, or even suggest a scientific method approach for future analysis, this circular wheel diagram is a perfect fit for any presentation study.

  4. PowerPoint Slides: SOWK 621.01: Research I: Basic Research Methodology

    DeCarlo and his team developed a complete package of materials that includes a textbook, ancillary materials, and a student workbook as part of a VIVA Open Course Grant. The PowerPoint slides associated with the twelve lessons of the course, SOWK 621.01: Research I: Basic Research Methodology, as previously taught by Dr. Matthew DeCarlo at ...

  5. Chapter 20. Presentations

    Findings from qualitative research are inextricably tied up with the way those findings are presented. These presentations do not always need to be in writing, but they need to happen. Think of ethnographies, for example, and their thick descriptions of a particular culture. Witnessing a culture, taking fieldnotes, talking to people—none of ...

  6. Guide to Research Methods

    This guide will. Introduce you to a range of research methods. Help you think about the value and limitations of different research methods. Identify when to use alternative research methods. You should use the guide. After or while you establish your research questions (See the Guide to Research Questions) When you are completing your Research ...

  7. How to make a scientific presentation

    Related Articles. This guide provides a 4-step process for making a good scientific presentation: outlining the scientific narrative, preparing slide outlines, constructing slides, and practicing the talk. We give advice on how to make effective slides, including tips for text, graphics, and equations, and how to use rehearsals of your talk to ...

  8. Chapter Seven: Presenting Your Results

    Written Presentation of Results. Once you've gone through the process of doing communication research - using a quantitative, qualitative, or critical/rhetorical methodological approach - the final step is to communicate it. The major style manuals (the APA Manual, the MLA Handbook, and Turabian) are very helpful in documenting the structure of writing a study, and are highly recommended ...

  9. How to Create a Powerful Research Presentation

    Visualize Data Instead of Writing Them. When adding facts and figures to your research presentation, harness the power of data visualization. Add interactive charts and graphs to take out most of the text. Text with visuals causes a faster and stronger reaction than words alone, making your presentation more memorable.

  10. PDF Presenting Research Results

    Tips for giving your presentation • Look professional. • It is important to address your audience when speaking • If necessary, use note cards or text on slides to (talking points) organize your presentation • Rehearse your presentation in front of your mentor or his/her research associates • Leave at least 3 minutes for questions

  11. Qualitative Presentation Strategies

    Qualitative Presentation Strategies. Nov 14, 2023. By Dr. Linda Bloomberg, and hosted by Janet Salmons, Ph.D., Research Community Manager for Sage Methodspace. Dr. Bloomberg is the author of Completing Your Qualitative Dissertation: A Road Map From Beginning to End. Use the code COMMUNITY3 for a 20% discount when you order her book, valid ...

  12. Research Methodology Part 1 : Introduction to Research & Research

    This presentation material in PowerPoint is the first of an eleven-part package designed and used regularly for teaching research methodology particularly to post-graduate students and research ...

  13. Research Guides: Advanced Research Methods: Presenting the Research Paper

    A good oral presentation is focused, concise, and interesting in order to trigger a discussion. Be well prepared; write a detailed outline. Introduce the subject. Talk about the sources and the method. Indicate if there are conflicting views about the subject (conflicting views trigger discussion). Make a statement about your new results (if ...

  14. Research Methods

    Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design. When planning your methods, there are two key decisions you will make. First, decide how you will collect data. Your methods depend on what type of data you need to answer your research question:

  15. Research Presentations

    Scholarship Presentations identify, research, and present to the class (as a narrated video with slides) a work of scholarship (articles from scholarly journals, chapters from scholarly monographs or edited collections, or other approved works) that uses a methodology and/or methods you'd consider employing in your own research project. You ...

  16. Research Methods Lesson Google Slides & PowerPoint template

    Premium Google Slides theme, PowerPoint template, and Canva presentation template. If you deal with Science, it's important to learn more about research methods. Teach your students about them with this presentation full of illustrations and drawings related to labs. Use graphs, maps, tables and overview diagrams to support your lecture in a ...

  17. Qualitative Research Methods

    Qualitative Research Methods. Nov 9, 2008 • Download as PPT, PDF •. 98 likes • 76,867 views. Jukka Peltokoski. Technology Business. 1 of 59. Download now. Qualitative Research Methods - Download as a PDF or view online for free.

  18. [Guide] How to Present Qualitative Research ...

    Make sure that you list down all such key parameters that were considered while conducting the qualitative research. In general, laying these out before sharing the outcome can help your audience think from your perspective and look at the findings from the correct lens. 3. Research Methodology Adopted.

  19. Research presentation (Chapter 7)

    This chapter describes the process of presenting research results for publication and for presentation in scientific and engineering research conferences. The good news for the research team is that some of the work required for publication and presentation should be almost complete, as the background to the problem, the literature review and ...

  20. Research Methods Lesson Infographics

    Free Google Slides theme, PowerPoint template, and Canva presentation template. Studying science sounds amazing, as its many fields and branches tell us how and why life is as it is. Research methods are very important, and if you're giving a presentation on this matter, you'll probably need to show lots of data. Use graphs, maps, tables and ...

  21. PPT

    Presentation Transcript. Social Research Methods Case Studies. What is a Case Study? • "A strategy for doing research which involves an empirical investigation of a particular contemporary phenomenon within its real life context using multiple sources of evidence" (Robson, 1993, p. 146) • A Case Study may be….

  22. New Content From Advances in Methods and Practices in Psychological

    Research shows that questionable research practices (QRPs) are present in undergraduate final-year dissertation projects. One entry-level Open Science practice proposed to mitigate QRPs is "study preregistration," through which researchers outline their research questions, design, method, and analysis plans before data collection and/or ...

  23. Frontiers

    The presentation is based on the unified correlation-optics and coherence-theory concepts. The applications of general principles are demonstrated by several examples including the study of inhomogeneities and fluctuations in water solutions and methods for sensitive diagnostics of random phase objects (e.g., rough surfaces).

  24. Innovative Educator Prep Program Centers HQIM and Research-Based

    The TEACH at Dallas College Educator Preparation Program was recently one of two educator prep programs to receive the commendation from the Texas Education Agency for "seeking innovative ways to prepare candidates for the classroom" in the 2022-23 school year. Emily Pierson, a Director of Academics with TNTP, spoke with Shannon Watson ...

  25. Research Methodology Workshop

    100% editable and easy to modify. 31 different slides to impress your audience. Contains easy-to-edit graphics such as graphs, maps, tables, timelines and mockups. Includes 500+ icons and Flaticon's extension for customizing your slides. Designed to be used in Google Slides and Microsoft PowerPoint. 16:9 widescreen format suitable for all ...

  26. Presentation Master's thesis

    This thesis investigates whether the Emergent Symbol. humans. By manipulating ESBN's architecture when performing two AVR tasks - identity. promote AVR development. Results showed the ESBN failed to simulate the working. model's near-perfect task accuracy. This makes the ESBN an inadequate model for explaining.

  27. Challenges and opportunities of English as the medium of instruction in

    English is generally recognized as the international language of science and most research on evidence-based medicine is produced in English. While Bangla is the dominant language in Bangladesh, public midwifery degree programs use English as the medium of instruction (EMI). This enables faculty and student access to the latest evidence-based midwifery content, which is essential for provision ...

  28. Free Research Google Slides and PowerPoint templates

    Download the "Endometrial Cancer Detection Breakthrough" presentation for PowerPoint or Google Slides. Treating diseases involves a lot of prior research and clinical trials. But whenever there's a new discovery, a revolutionary finding that opens the door to new treatments, vaccines or ways to prevent illnesses, it's great news. Should ...

  29. A surprising solution for reducing our food waste

    Every year, 1.3 billion tonnes of food is wasted globally, the equivalent of one-third of all food produced for human consumption. Busy lives and cooking habits lead to neglecting fresh produce until it spoils, adding to the problem. New research finds that keeping a 'food log' for 6 weeks can reduce the amount of waste by an average of 108g per week, an effect that can still be seen six ...

  30. Approaches to Address AI-enabled Voice Cloning

    The post-use evaluation of existing content includes methods to check if already-created audio clips such as voice mail messages and audio direct messages contain cloned voices. One potential way to evaluate existing audio clips is to develop algorithms that detect inconsistencies in voice cloned clips. [7]