skills needed to research

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The Most Important Research Skills (With Examples)

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Research skills are the ability to find out accurate information on a topic. They include being able to determine the data you need, find and interpret those findings, and then explain that to others. Being able to do effective research is a beneficial skill in any profession, as data and research inform how businesses operate.

Whether you’re unsure of your research skills or are looking for ways to further improve them, then this article will cover important research skills and how to become even better at research.

Key Takeaways

Having strong research skills can help you understand your competitors, develop new processes, and build your professional skills in addition to aiding you in finding new customers and saving your company money.

Some of the most valuable research skills you can have include goal setting, data collection, and analyzing information from multiple sources.

You can and should put your research skills on your resume and highlight them in your job interviews.

What are research skills?

Why are research skills important, 12 of the most important research skills, how to improve your research skills, highlighting your research skills in a job interview, how to include research skills on your resume, resume examples showcasing research skills, research skills faqs.

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Research skills are the necessary tools to be able to find, compile, and interpret information in order to answer a question. Of course, there are several aspects to this. Researchers typically have to decide how to go about researching a problem — which for most people is internet research.

In addition, you need to be able to interpret the reliability of a source, put the information you find together in an organized and logical way, and be able to present your findings to others. That means that they’re comprised of both hard skills — knowing your subject and what’s true and what isn’t — and soft skills. You need to be able to interpret sources and communicate clearly.

Research skills are useful in any industry, and have applications in innovation, product development, competitor research, and many other areas. In addition, the skills used in researching aren’t only useful for research. Being able to interpret information is a necessary skill, as is being able to clearly explain your reasoning.

Research skills are used to:

Do competitor research. Knowing what your biggest competitors are up to is an essential part of any business. Researching what works for your competitors, what they’re doing better than you, and where you can improve your standing with the lowest resource expenditure are all essential if a company wants to remain functional.

Develop new processes and products. You don’t have to be involved in research and development to make improvements in how your team gets things done. Researching new processes that make your job (and those of your team) more efficient will be valued by any sensible employer.

Foster self-improvement. Folks who have a knack and passion for research are never content with doing things the same way they’ve always been done. Organizations need independent thinkers who will seek out their own answers and improve their skills as a matter of course. These employees will also pick up new technologies more easily.

Manage customer relationships. Being able to conduct research on your customer base is positively vital in virtually every industry. It’s hard to move products or sell services if you don’t know what people are interested in. Researching your customer base’s interests, needs, and pain points is a valuable responsibility.

Save money. Whether your company is launching a new product or just looking for ways to scale back its current spending, research is crucial for finding wasted resources and redirecting them to more deserving ends. Anyone who proactively researches ways that the company can save money will be highly appreciated by their employer.

Solve problems. Problem solving is a major part of a lot of careers, and research skills are instrumental in making sure your solution is effective. Finding out the cause of the problem and determining an effective solution both require accurate information, and research is the best way to obtain that — be it via the internet or by observation.

Determine reliable information. Being able to tell whether or not the information you receive seems accurate is a very valuable skill. While research skills won’t always guarantee that you’ll be able to tell the reliability of the information at first glance, it’ll prevent you from being too trusting. And it’ll give the tools to double-check .

Experienced researchers know that worthwhile investigation involves a variety of skills. Consider which research skills come naturally to you, and which you could work on more.

Data collection . When thinking about the research process, data collection is often the first thing that comes to mind. It is the nuts and bolts of research. How data is collected can be flexible.

For some purposes, simply gathering facts and information on the internet can fulfill your need. Others may require more direct and crowd-sourced research. Having experience in various methods of data collection can make your resume more impressive to recruiters.

Data collection methods include: Observation Interviews Questionnaires Experimentation Conducting focus groups

Analysis of information from different sources. Putting all your eggs in one source basket usually results in error and disappointment. One of the skills that good researchers always incorporate into their process is an abundance of sources. It’s also best practice to consider the reliability of these sources.

Are you reading about U.S. history on a conspiracy theorist’s blog post? Taking facts for a presentation from an anonymous Twitter account?

If you can’t determine the validity of the sources you’re using, it can compromise all of your research. That doesn’t mean just disregard anything on the internet but double-check your findings. In fact, quadruple-check. You can make your research even stronger by turning to references outside of the internet.

Examples of reliable information sources include: Published books Encyclopedias Magazines Databases Scholarly journals Newspapers Library catalogs

Finding information on the internet. While it can be beneficial to consulate alternative sources, strong internet research skills drive modern-day research.

One of the great things about the internet is how much information it contains, however, this comes with digging through a lot of garbage to get to the facts you need. The ability to efficiently use the vast database of knowledge that is on the internet without getting lost in the junk is very valuable to employers.

Internet research skills include: Source checking Searching relevant questions Exploring deeper than the first options Avoiding distraction Giving credit Organizing findings

Interviewing. Some research endeavors may require a more hands-on approach than just consulting internet sources. Being prepared with strong interviewing skills can be very helpful in the research process.

Interviews can be a useful research tactic to gain first-hand information and being able to manage a successful interview can greatly improve your research skills.

Interviewing skills involves: A plan of action Specific, pointed questions Respectfulness Considering the interview setting Actively Listening Taking notes Gratitude for participation

Report writing. Possessing skills in report writing can assist you in job and scholarly research. The overall purpose of a report in any context is to convey particular information to its audience.

Effective report writing is largely dependent on communication. Your boss, professor , or general reader should walk away completely understanding your findings and conclusions.

Report writing skills involve: Proper format Including a summary Focusing on your initial goal Creating an outline Proofreading Directness

Critical thinking. Critical thinking skills can aid you greatly throughout the research process, and as an employee in general. Critical thinking refers to your data analysis skills. When you’re in the throes of research, you need to be able to analyze your results and make logical decisions about your findings.

Critical thinking skills involve: Observation Analysis Assessing issues Problem-solving Creativity Communication

Planning and scheduling. Research is a work project like any other, and that means it requires a little forethought before starting. Creating a detailed outline map for the points you want to touch on in your research produces more organized results.

It also makes it much easier to manage your time. Planning and scheduling skills are important to employers because they indicate a prepared employee.

Planning and scheduling skills include: Setting objectives Identifying tasks Prioritizing Delegating if needed Vision Communication Clarity Time-management

Note-taking. Research involves sifting through and taking in lots of information. Taking exhaustive notes ensures that you will not neglect any findings later and allows you to communicate these results to your co-workers. Being able to take good notes helps summarize research.

Examples of note-taking skills include: Focus Organization Using short-hand Keeping your objective in mind Neatness Highlighting important points Reviewing notes afterward

Communication skills. Effective research requires being able to understand and process the information you receive, either written or spoken. That means that you need strong reading comprehension and writing skills — two major aspects of communication — as well as excellent listening skills.

Most research also involves showcasing your findings. This can be via a presentation. , report, chart, or Q&A. Whatever the case, you need to be able to communicate your findings in a way that educates your audience.

Communication skills include: Reading comprehension Writing Listening skills Presenting to an audience Creating graphs or charts Explaining in layman’s terms

Time management. We’re, unfortunately, only given 24 measly hours in a day. The ability to effectively manage this time is extremely powerful in a professional context. Hiring managers seek candidates who can accomplish goals in a given timeframe.

Strong time management skills mean that you can organize a plan for how to break down larger tasks in a project and complete them by a deadline. Developing your time management skills can greatly improve the productivity of your research.

Time management skills include: Scheduling Creating task outlines Strategic thinking Stress-management Delegation Communication Utilizing resources Setting realistic expectations Meeting deadlines

Using your network. While this doesn’t seem immediately relevant to research skills, remember that there are a lot of experts out there. Knowing what people’s areas of expertise and asking for help can be tremendously beneficial — especially if it’s a subject you’re unfamiliar with.

Your coworkers are going to have different areas of expertise than you do, and your network of people will as well. You may even know someone who knows someone who’s knowledgeable in the area you’re researching. Most people are happy to share their expertise, as it’s usually also an area of interest to them.

Networking involves: Remembering people’s areas of expertise Being willing to ask for help Communication Returning favors Making use of advice Asking for specific assistance

Attention to detail. Research is inherently precise. That means that you need to be attentive to the details, both in terms of the information you’re gathering, but also in where you got it from. Making errors in statistics can have a major impact on the interpretation of the data, not to mention that it’ll reflect poorly on you.

There are proper procedures for citing sources that you should follow. That means that your sources will be properly credited, preventing accusations of plagiarism. In addition, it means that others can make use of your research by returning to the original sources.

Attention to detail includes: Double checking statistics Taking notes Keeping track of your sources Staying organized Making sure graphs are accurate and representative Properly citing sources

As with many professional skills, research skills serve us in our day to day life. Any time you search for information on the internet, you’re doing research. That means that you’re practicing it outside of work as well. If you want to continue improving your research skills, both for professional and personal use, here are some tips to try.

Differentiate between source quality. A researcher is only as good as their worst source. Start paying attention to the quality of the sources you use, and be suspicious of everything your read until you check out the attributions and works cited.

Be critical and ask yourself about the author’s bias, where the author’s research aligns with the larger body of verified research in the field, and what publication sponsored or published the research.

Use multiple resources. When you can verify information from a multitude of sources, it becomes more and more credible. To bolster your faith in one source, see if you can find another source that agrees with it.

Don’t fall victim to confirmation bias. Confirmation bias is when a researcher expects a certain outcome and then goes to find data that supports this hypothesis. It can even go so far as disregarding anything that challenges the researcher’s initial hunch. Be prepared for surprising answers and keep an open mind.

Be open to the idea that you might not find a definitive answer. It’s best to be honest and say that you found no definitive answer instead of just confirming what you think your boss or coworkers expect or want to hear. Experts and good researchers are willing to say that they don’t know.

Stay organized. Being able to cite sources accurately and present all your findings is just as important as conducting the research itself. Start practicing good organizational skills , both on your devices and for any physical products you’re using.

Get specific as you go. There’s nothing wrong with starting your research in a general way. After all, it’s important to become familiar with the terminology and basic gist of the researcher’s findings before you dig down into all the minutia.

A job interview is itself a test of your research skills. You can expect questions on what you know about the company, the role, and your field or industry more generally. In order to give expert answers on all these topics, research is crucial.

Start by researching the company . Look into how they communicate with the public through social media, what their mission statement is, and how they describe their culture.

Pay close attention to the tone of their website. Is it hyper professional or more casual and fun-loving? All of these elements will help decide how best to sell yourself at the interview.

Next, research the role. Go beyond the job description and reach out to current employees working at your desired company and in your potential department. If you can find out what specific problems your future team is or will be facing, you’re sure to impress hiring managers and recruiters with your ability to research all the facts.

Finally, take time to research the job responsibilities you’re not as comfortable with. If you’re applying for a job that represents increased difficulty or entirely new tasks, it helps to come into the interview with at least a basic knowledge of what you’ll need to learn.

Research projects require dedication. Being committed is a valuable skill for hiring managers. Whether you’ve had research experience throughout education or a former job, including it properly can boost the success of your resume .

Consider how extensive your research background is. If you’ve worked on multiple, in-depth research projects, it might be best to include it as its own section. If you have less research experience, include it in the skills section .

Focus on your specific role in the research, as opposed to just the research itself. Try to quantify accomplishments to the best of your abilities. If you were put in charge of competitor research, for example, list that as one of the tasks you had in your career.

If it was a particular project, such as tracking the sale of women’s clothing at a tee-shirt company, you can say that you “directed analysis into women’s clothing sales statistics for a market research project.”

Ascertain how directly research skills relate to the job you’re applying for. How strongly you highlight your research skills should depend on the nature of the job the resume is for. If research looks to be a strong component of it, then showcase all of your experience.

If research looks to be tangential, then be sure to mention it — it’s a valuable skill — but don’t put it front and center.

Example #1: Academic Research

Simon Marks 767 Brighton Blvd. | Brooklyn, NY, 27368 | (683)-262-8883 | [email protected] Diligent and hardworking recent graduate seeking a position to develop professional experience and utilize research skills. B.A. in Biological Sciences from New York University. PROFESSIONAL EXPERIENCE Lixus Publishing , Brooklyn, NY Office Assistant- September 2018-present Scheduling and updating meetings Managing emails and phone calls Reading entries Worked on a science fiction campaign by researching target demographic Organizing calendars Promoted to office assistant after one year internship Mitch’s Burgers and Fries , Brooklyn, NY Restaurant Manager , June 2014-June 2018 Managed a team of five employees Responsible for coordinating the weekly schedule Hired and trained two employees Kept track of inventory Dealt with vendors Provided customer service Promoted to restaurant manager after two years as a waiter Awarded a $2.00/hr wage increase SKILLS Writing Scientific Research Data analysis Critical thinking Planning Communication RESEARCH Worked on an ecosystem biology project with responsibilities for algae collection and research (2019) Lead a group of freshmen in a research project looking into cell biology (2018) EDUCATION New York University Bachelors in Biological Sciences, September 2016-May 2020

Example #2: Professional Research

Angela Nichols 1111 Keller Dr. | San Francisco, CA | (663)-124-8827 |[email protected] Experienced and enthusiastic marketer with 7 years of professional experience. Seeking a position to apply my marketing and research knowledge. Skills in working on a team and flexibility. EXPERIENCE Apples amp; Oranges Marketing, San Francisco, CA Associate Marketer – April 2017-May 2020 Discuss marketing goals with clients Provide customer service Lead campaigns associated with women’s health Coordinating with a marketing team Quickly solving issues in service and managing conflict Awarded with two raises totaling $10,000 over three years Prestigious Marketing Company, San Francisco, CA Marketer – May 2014-April 2017 Working directly with clients Conducting market research into television streaming preferences Developing marketing campaigns related to television streaming services Report writing Analyzing campaign success statistics Promoted to Marketer from Junior Marketer after the first year Timberlake Public Relations, San Francisco, CA Public Relations Intern – September 2013–May 2014 Working cohesively with a large group of co-workers and supervisors Note-taking during meetings Running errands Managing email accounts Assisting in brainstorming Meeting work deadlines EDUCATION Golden Gate University, San Francisco, CA Bachelor of Arts in Marketing with a minor in Communications – September 2009 – May 2013 SKILLS Marketing Market research Record-keeping Teamwork Presentation. Flexibility

What research skills are important?

Goal-setting and data collection are important research skills. Additional important research skills include:

Using different sources to analyze information.

Finding information on the internet.

Interviewing sources.

Writing reports.

Critical thinking.

Planning and scheduling.

Note-taking.

Managing time.

How do you develop good research skills?

You develop good research skills by learning how to find information from multiple high-quality sources, by being wary of confirmation bias, and by starting broad and getting more specific as you go.

When you learn how to tell a reliable source from an unreliable one and get in the habit of finding multiple sources that back up a claim, you’ll have better quality research.

In addition, when you learn how to keep an open mind about what you’ll find, you’ll avoid falling into the trap of confirmation bias, and by staying organized and narrowing your focus as you go (rather than before you start), you’ll be able to gather quality information more efficiently.

What is the importance of research?

The importance of research is that it informs most decisions and strategies in a business. Whether it’s deciding which products to offer or creating a marketing strategy, research should be used in every part of a company.

Because of this, employers want employees who have strong research skills. They know that you’ll be able to put them to work bettering yourself and the organization as a whole.

Should you put research skills on your resume?

Yes, you should include research skills on your resume as they are an important professional skill. Where you include your research skills on your resume will depend on whether you have a lot of experience in research from a previous job or as part of getting your degree, or if you’ve just cultivated them on your own.

If your research skills are based on experience, you could put them down under the tasks you were expected to perform at the job in question. If not, then you should likely list it in your skills section.

University of the People – The Best Research Skills for Success

Association of Internet Research Specialists — What are Research Skills and Why Are They Important?

MasterClass — How to Improve Your Research Skills: 6 Research Tips

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Sky Ariella is a professional freelance writer, originally from New York. She has been featured on websites and online magazines covering topics in career, travel, and lifestyle. She received her BA in psychology from Hunter College.

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• Research Skills

What are research skills?

Last updated

26 April 2023

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Broadly, it includes a range of talents required to:

Find useful information

Perform critical analysis

Form hypotheses

Solve problems

It also includes processes such as time management, communication, and reporting skills to achieve those ends.

Research requires a blend of conceptual and detail-oriented modes of thinking. It tests one's ability to transition between subjective motivations and objective assessments to ensure only correct data fits into a meaningfully useful framework.

As countless fields increasingly rely on data management and analysis, polishing your research skills is an important, near-universal way to improve your potential of getting hired and advancing in your career.

Make research less tedious

Dovetail streamlines research to help you uncover and share actionable insights

What are basic research skills?

Almost any research involves some proportion of the following fundamental skills:

Organization

Decision-making

Investigation and analysis

Creative thinking

What are primary research skills?

The following are some of the most universally important research skills that will help you in a wide range of positions:

Time management — From planning and organization to task prioritization and deadline management, time-management skills are highly in-demand workplace skills.

Problem-solving — Identifying issues, their causes, and key solutions are another essential suite of research skills.

Critical thinking — The ability to make connections between data points with clear reasoning is essential to navigate data and extract what's useful towards the original objective.

Communication — In any collaborative environment, team-building and active listening will help researchers convey findings more effectively through data summarizations and report writing.

What are the most important skills in research?

Detail-oriented procedures are essential to research, which allow researchers and their audience to probe deeper into a subject and make connections they otherwise may have missed with generic overviews.

Maintaining priorities is also essential so that details fit within an overarching strategy. Lastly, decision-making is crucial because that's the only way research is translated into meaningful action.

• Why are research skills important?

Good research skills are crucial to learning more about a subject, then using that knowledge to improve an organization's capabilities. Synthesizing that research and conveying it clearly is also important, as employees seek to share useful insights and inspire effective actions.

Effective research skills are essential for those seeking to:

Analyze their target market

Investigate industry trends

Identify customer needs

Detect obstacles

Find solutions to those obstacles

Develop new products or services

Develop new, adaptive ways to meet demands

Discover more efficient ways of acquiring or using resources

Why do we need research skills?

Businesses and individuals alike need research skills to clarify their role in the marketplace, which of course, requires clarity on the market in which they function in. High-quality research helps people stay better prepared for challenges by identifying key factors involved in their day-to-day operations, along with those that might play a significant role in future goals.

• Benefits of having research skills

Research skills increase the effectiveness of any role that's dependent on information. Both individually and organization-wide, good research simplifies what can otherwise be unwieldy amounts of data. It can help maintain order by organizing information and improving efficiency, both of which set the stage for improved revenue growth.

Those with highly effective research skills can help reveal both:

Opportunities for improvement

Brand-new or previously unseen opportunities

Research skills can then help identify how to best take advantage of available opportunities. With today's increasingly data-driven economy, it will also increase your potential of getting hired and help position organizations as thought leaders in their marketplace.

• Research skills examples

Being necessarily broad, research skills encompass many sub-categories of skillsets required to extrapolate meaning and direction from dense informational resources. Identifying, interpreting, and applying research are several such subcategories—but to be specific, workplaces of almost any type have some need of:

Searching for information

Attention to detail

Taking notes

Problem-solving

Communicating results

Time management

• How to improve your research skills

Whether your research goals are to learn more about a subject or enhance workflows, you can improve research skills with this failsafe, four-step strategy:

Make an outline, and set your intention(s)

Know your sources

Learn to use advanced search techniques

Practice, practice, practice (and don't be afraid to adjust your approach)

These steps could manifest themselves in many ways, but what's most important is that it results in measurable progress toward the original goals that compelled you to research a subject.

• Using research skills at work

Different research skills will be emphasized over others, depending on the nature of your trade. To use research most effectively, concentrate on improving research skills most relevant to your position—or, if working solo, the skills most likely have the strongest impact on your goals.

You might divide the necessary research skills into categories for short, medium, and long-term goals or according to each activity your position requires. That way, when a challenge arises in your workflow, it's clearer which specific research skill requires dedicated attention.

How can I learn research skills?

Learning research skills can be done with a simple three-point framework:

Clarify the objective — Before delving into potentially overwhelming amounts of data, take a moment to define the purpose of your research. If at any point you lose sight of the original objective, take another moment to ask how you could adjust your approach to better fit the original objective.

Scrutinize sources — Cross-reference data with other sources, paying close attention to each author's credentials and motivations.

Organize research — Establish and continually refine a data-organization system that works for you. This could be an index of resources or compiling data under different categories designed for easy access.

Which careers require research skills?

Especially in today's world, most careers require some, if not extensive, research. Developers, marketers, and others dealing in primarily digital properties especially require extensive research skills—but it's just as important in building and manufacturing industries, where research is crucial to construct products correctly and safely.

Engineering, legal, medical, and literally any other specialized field will require excellent research skills. Truly, almost any career path will involve some level of research skills; and even those requiring only minimal research skills will at least require research to find and compare open positions in the first place.

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Discover the nine competencies required to become a researcher

What essential skills do researchers need? For those just starting on the road to research, breaking the process down into achievable and measurable milestones can help

Cynthia López

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When studying education, researchers often face the challenge of trying to figure out what, how and when to research, often believing that if a researcher is not an expert in a specific area, they are unable to carry out research on it. However, certain core competencies can help you effectively research any topic related to your teaching practice, as well as incorporate technological and/or pedagogical trends.

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Several models outline the basic knowledge and competencies that a professional (in this case, a teacher) must have in order to carry out research, including the LART model suggested by Luis Arturo Rivas-Tovar , which lists the key competencies as:

• The ability to state a research problem : start from what is known and move to what is desired to be known.
• Know how to elaborate a contextual framework : analyse how the stated problem occurs within a whole and in the context you want to research.
• Examine the state of the art : review what is already known about the defined problem in the literature in order to aid the search for new knowledge. Each part of the problem must be studied separately.
• Prepare and validate data collection instruments: while considering the objective of the study, define the type of research best suited to it, the instrument(s) to be used, and the individuals who will validate and answer them.
• Build a research model: once you have visualised the problem or event to be researched, establish the process you will follow to analyse it and achieve the study objectives.
• Know how to analyse the data obtained: recognise that different techniques are available to process the results, which are linked to the type of research and the scale used in the data collection instruments.
• Know how to write scientific articles : any professional researcher must learn the citation styles: MLA (for literature), CBE (for basic sciences) and APA (for social sciences). Write briefly and concisely and use the IMRaD structure (introduction, method, results and discussion) to present your work.
• Present your results at a conference:  this ability means the new knowledge will be communicated and, most likely, doors will be opened to exchange experiences with other researchers – in this case, teachers from different disciplines and educational institutions.
• Master a second language : English is the universal language, so it is necessary to learn it to be able to communicate in international journals or at conferences.

These nine skills can help guide professionals interested in researching teaching, although they can also, of course, be applied to almost any field. Even if you do not have a particularly scientific profile, they can help instigate a critical view of any topic or event, even one already defined or being tested.

Indeed, as educational engineers, we often analyse educational models to help gauge the impact of pedagogical innovations.

But for what purpose? To answer, here are three key reasons that can apply to any research:

• To gain in-depth knowledge of a topic, event or situation and visualise the place each of its components occupies.
• To communicate the knowledge obtained to the people involved to help them grasp the scope of their participation in the field studied.
• To help make decisions that favour or produce changes in the object/subject of research.

These three purposes, I think, show the usefulness of the nine competencies. They can help us detect strengths as well as opportunities for improvement – and provide the information needed to adjust or optimise.

Finally, the central argument for mastering these nine competencies is that it demonstrates the commitment and passion that any person, whether they are a researcher or not, must put into a field they want to know better. Only through displaying the correct level of rigour can we prepare to find and then solve those aspects of education (or any other field) that remain to be discovered.

Cynthia López is an educational engineer at Monterrey Institute of Technology, Mexico.

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Research Skills: What they are and Benefits

Research skills play a vital role in the success of any research project, enabling individuals to navigate the vast sea of information, analyze data critically, and draw meaningful conclusions. Whether conducting academic research, professional investigations, or personal inquiries, strong research skills are essential for obtaining accurate and reliable results.

LEARN ABOUT:   Research Process Steps

By understanding and developing these skills, individuals can embark on their research endeavors with confidence, integrity, and the capability to make meaningful contributions in their chosen fields. This article will explore the importance of research skills and discuss critical competencies necessary for conducting a research project effectively.

Content Index

What are Research Skills?

Important research skills for research project, benefits of research skills.

• Improving your Research Skills

Talk to Experts to Improve Skills

Research skills are the capability a person carries to create new concepts and understand the use of data collection. These skills include techniques, documentation, and interpretation of the collected data. Research is conducted to evaluate hypotheses and share the findings most appropriately. Research skills improve as we gain experience.

To conduct efficient research, specific research skills are essential. These skills are necessary for companies to develop new products and services or enhance existing products. To develop good research skills is important for both the individual as well as the company.

When undertaking a research project, one must possess specific important skills to ensure the project’s success and accuracy. Here are some essential research skills that are crucial for conducting a project effectively:

Time Management Skills:

Time management is an essential research skill; it helps you break down your project into parts and enables you to manage it easier. One can create a dead-line oriented plan for the research project and assign time for each task. Time management skills include setting goals for the project, planning and organizing functions as per their priority, and efficiently delegating these tasks.

Communication Skills:

These skills help you understand and receive important information and also allow you to share your findings with others in an effective manner. Active listening and speaking are critical skills for solid communication. A researcher must have good communication skills.

Problem-Solving:  

The ability to handle complex situations and business challenges and come up with solutions for them is termed problem-solving. To problem-solve, you should be able to fully understand the extent of the problem and then break it down into smaller parts. Once segregated into smaller chunks, you can start thinking about each element and analyze it to find a solution.

Information gathering and attention to detail:

Relevant information is the key to good research design . Searching for credible resources and collecting information from there will help you strengthen your research proposal and drive you to solutions faster. Once you have access to information, paying close attention to all the details and drawing conclusions based on the findings is essential.

Research Design and Methodology :

Understanding research design and methodology is essential for planning and conducting a project. Depending on the research question and objectives, researchers must select appropriate research methods, such as surveys, experiments, interviews, or case studies. Proficiency in designing research protocols, data collection instruments, and sampling strategies is crucial for obtaining reliable and valid results.

Data Collection and Analysis :

Researchers should be skilled in collecting and analyzing data accurately. It involves designing data collection instruments, collecting data through various methods, such as surveys or observations, and organizing and analyzing the collected data using appropriate statistical or qualitative analysis techniques. Proficiency in using software tools like SPSS, Excel, or qualitative analysis software can be beneficial.

By developing and strengthening these research skills, researchers can enhance the quality and impact of their research process, contributing to good research skills in their respective fields.

Research skills are invaluable assets that can benefit individuals in various aspects of their lives. Here are some key benefits of developing and honing research skills:

Boosts Curiosity :

Curiosity is a strong desire to know things and a powerful learning driver. Curious researchers will naturally ask questions that demand answers and will stop in the search for answers. Interested people are better listeners and are open to listening to other people’s ideas and perspectives, not just their own.

Cultivates Self-awareness :

As well as being aware of other people’s subjective opinions, one must develop the importance of research skills and be mindful of the benefits of awareness research; we are exposed to many things while researching. Once we start doing research, the benefit from it reflects on the beliefs and attitudes and encourages them to open their minds to other perspectives and ways of looking at things.

Effective Communication:

Research skills contribute to practical communication skills by enhancing one’s ability to articulate ideas, opinions, and findings clearly and coherently. Through research, individuals learn to organize their thoughts, present evidence-based arguments, and effectively convey complex information to different audiences. These skills are crucial in academic research settings, professional environments, and personal interactions.

Personal and Professional Growth :

Developing research skills fosters personal and professional growth by instilling a sense of curiosity, intellectual independence, and a lifelong learning mindset. Research encourages individuals to seek knowledge, challenge assumptions, and embrace intellectual growth. These skills also enhance adaptability as individuals become adept at navigating and assimilating new information, staying updated with the latest developments, and adjusting their perspectives and strategies accordingly.

Academic Success:

Research skills are essential for academic research success. They enable students to conduct thorough literature reviews, gather evidence to support their arguments, and critically evaluate existing research. By honing their research skills, students can produce well-structured, evidence-based essays, projects, and dissertations demonstrating high academic research rigor and analytical thinking.

Professional Advancement:

Research skills are highly valued in the professional world. They are crucial for conducting market research, analyzing trends, identifying opportunities, and making data-driven decisions. Employers appreciate individuals who can effectively gather and analyze information, solve complex problems, and provide evidence-based recommendations. Research skills also enable professionals to stay updated with advancements in their field, positioning themselves as knowledgeable and competent experts.

Developing and nurturing research skills can significantly benefit individuals in numerous aspects of their lives, enabling them to thrive in an increasingly information-driven world.

Improving Your Research Skills

There are many things you can do to improve your research skills and utilize them in your research or day job. Here are some examples:

• Develop Information Literacy: Strengthening your information literacy skills is crucial for conducting thorough research. It involves identifying reliable sources, evaluating the credibility of information, and navigating different research databases.
• Enhance Critical Thinking: Critical thinking is an essential skill for effective research. It involves analyzing information, questioning assumptions, and evaluating arguments. Practice critical analysis by analyzing thoughtfully, identifying biases, and considering alternative perspectives.
• Master Research Methodologies: Familiarize yourself with different research methodologies relevant to your field. Whether it’s qualitative, quantitative, or mixed methods research, realizing the strengths and limitations of each approach is crucial.
• Practice Effective Time Management: Research requires dedicated time and effort. Develop good time management skills to ensure that you allocate sufficient time for each stage of the research process, including planning, data collection, analysis, and writing.
• Embrace Collaboration: Collaborating with peers and colleagues can provide a fresh perspective and enrich your research experience. Engage in discussions, share ideas, and seek feedback from others. Collaborative projects allow for exchanging knowledge and skills.
• Continuously Update Your Knowledge: Stay informed about your field’s latest developments and advancements. Regularly read scholarly articles, attend conferences, and follow reputable sources of information to stay up to date with current research trends.

There is plenty of information available on the internet about every topic; hence, learning skills to know which information is relevant and credible is very important. Today most search engines have the feature of advanced search, and you can customize the search as per your preference. Once you learn this skill, it will help you find information. 

Experts possess a wealth of knowledge, experience, and insights that can significantly enhance your understanding and abilities in conducting research. Experts have often encountered numerous challenges and hurdles throughout their research journey and have developed effective problem-solving techniques. Engaging with experts is a highly effective approach to improving research skills.

Moreover, experts can provide valuable feedback and constructive criticism on your research work. They can offer fresh perspectives, identify areas for improvement, and help you refine your research questions, methodology, and analysis.

At QuestionPro, we can help you with the necessary tools to carry out your projects, and we have created the following free resources to help you in your professional growth:

• Survey Templates

Research skills are invaluable assets that empower individuals to navigate the ever-expanding realm of information, make informed decisions, and contribute to advancing knowledge. With advanced research tools and technologies like QuestionPro Survey Software, researchers have potent resources to conduct comprehensive surveys, gather data, and analyze results efficiently.

Where data-driven decision-making is crucial, research skills supported by advanced tools like QuestionPro are essential for researchers to stay ahead and make impactful contributions to their fields. By embracing these research skills and leveraging the capabilities of powerful survey software, researchers can unlock new possibilities, gain deeper insights, and pave the way for meaningful discoveries.

Authors : Gargi Ghamandi & Sandeep Kokane

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10 Research Skills and How To Develop Them

• Updated December 25, 2023
• Published August 8, 2023

Are you looking to learn more about Research skills? In this article, we discuss Research skills in more detail and give you tips about how you can develop and improve them.

What are Research skills?

Research skills refer to the ability to effectively and efficiently gather, analyze, and synthesize information to answer questions, solve problems, or contribute to a body of knowledge. These skills are essential for various fields and disciplines, ranging from academic and scientific research to business, journalism, and beyond. Effective research skills involve several key components:

Information Retrieval

Source evaluation.

• Critical Thinking

Data Analysis

Problem formulation, organization and note-taking, synthesis and writing, ethical considerations, time management.

• Adaptability

Top 10 Research Skills

Below we discuss the top 10 Research skills. Each skill is discussed in more detail, and we will also give you tips on improving them.

Information Retrieval is all about mastering the art of finding relevant and credible sources of information to support your research goals. This skill involves using various online and offline tools to locate the data, articles, studies, and materials that are most pertinent to your research topic. It’s like being a detective for knowledge – you’re trying to uncover valuable insights that will contribute to your research project.

To excel in Information Retrieval, you must become adept at effectively using search engines, databases, libraries, and other resources. It’s not just about typing keywords into a search bar; it’s about understanding how to refine your searches, use advanced search operators, and explore different databases and sources.

You’ll need to evaluate the quality and reliability of sources to ensure that the information you gather is trustworthy and accurate. This skill also requires critical thinking, as you’ll need to assess the relevance of sources to your research objectives.

How to Improve Information Retrieval

Improving your Information Retrieval skills involves a combination of practice, strategy, and awareness. Start by familiarizing yourself with different research databases and libraries relevant to your field. Experiment with various search terms and use advanced search operators to narrow down results. Take the time to evaluate the credibility of sources – look for peer-reviewed articles, authoritative authors, and reliable institutions. Keep track of your searches and results to refine your strategies over time.

Stay updated with the latest developments in search technology and research databases to optimize your information retrieval process. Remember, the more you practice and fine-tune your approach, the better you’ll become at uncovering valuable gems of information for your research endeavors.

Source Evaluation is about becoming a discerning judge of the information you encounter during your research journey. It involves assessing the credibility, reliability, and relevance of the sources you come across, ensuring that you’re building your work on a foundation of trustworthy and accurate information. Think of yourself as a gatekeeper, using only the most reliable and relevant sources to support your research.

You need to develop a critical eye to enhance your Source Evaluation skills. Begin by examining the authorship – who wrote the source, and what are their credentials? Peer-reviewed articles from established researchers are more reliable than anonymous blog posts. Consider the publication source – is it a reputable journal or website in your field?

Next, look for citations and references within the source – a well-researched work will often cite other credible sources. Additionally, evaluate the publication date – while older sources can provide historical context, ensure you’re using recent information for up-to-date insights.

How to Improve Source Evaluation

Improving your Source Evaluation skills requires a combination of awareness and practice. As you encounter new sources, ask questions about their credibility and relevance. Do evidence and references support the information? Does the author have any potential biases? Take advantage of critical thinking to analyze the source’s overall quality.

To further refine your skills, seek guidance from mentors, professors, or librarians who can provide valuable insights into evaluating sources. The more you engage with this skill, the better you’ll become at building a solid foundation for your research with credible and reliable materials.

Critical Thinking is the intellectual toolset that empowers you to analyze information objectively, discern patterns, and draw well-informed conclusions based on evidence. It’s like being a detective for ideas – you sift through data, identify biases, and unravel complexities to make informed judgments that drive your research forward with clarity and precision.

To hone your Critical Thinking skills, you need to cultivate a curious and analytical mindset. Start by questioning assumptions and biases in both your own thinking and the information you encounter.

When evaluating sources, consider multiple viewpoints and sources of evidence before forming conclusions. Develop the ability to identify logical fallacies or weak arguments that may distort the validity of your findings. Embrace open-mindedness and be willing to adapt your ideas when faced with compelling evidence that challenges your initial perspective.

How to Improve Critical Thinking

Improving your Critical Thinking skills requires practice and deliberate effort. Engage in discussions and debates within your field and beyond to expose yourself to diverse perspectives and sharpen your ability to analyze complex issues. Regularly challenge yourself to critically evaluate information, whether it’s a news article, a research paper, or a colleague’s argument.

Seek feedback from mentors or peers to refine your critical thinking process and identify areas for improvement. Remember, Critical Thinking is an ongoing journey that can be developed over time – the more you engage with it, the more adept you’ll become at navigating the intricate landscape of ideas in your research endeavors.

Related :  Critical Thinking Interview Questions & Answers

Data Analysis is the art of processing, interpreting, and extracting meaningful insights from the raw information you’ve collected during your research journey. Think of it as deciphering a puzzle – you’re transforming numbers, observations, or qualitative data into a coherent narrative that answers your research questions and adds value to your work.

To excel in Data Analysis, you need to develop both quantitative and qualitative skills. For quantitative data, embrace statistical tools and techniques that help you identify trends, correlations, and patterns in your data sets. Practice using software like Excel, SPSS, or specialized tools for your field to perform statistical tests and visualize results effectively. For qualitative data, immerse yourself in the details, coding and categorizing themes to distill rich insights from textual or visual sources.

How to Improve Data Analysis

Improving your Data Analysis skills involves a combination of practice, learning, and refining your techniques. Start by immersing yourself in the basics of statistics and data analysis methodologies relevant to your research field. Engage in tutorials and online courses to familiarize yourself with various tools and software. As you analyze data, maintain clear documentation of your process and decisions, which will be crucial when presenting your findings.

Collaborate with peers or mentors who are experienced in data analysis to gain insights and feedback on your techniques. Remember, Data Analysis is about transforming data into knowledge – the more you engage with this skill, the better you’ll become at uncovering valuable insights that contribute to the depth and impact of your research.

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Problem Formulation is like setting the compass for your research journey – it involves defining clear and focused research questions or hypotheses that guide your entire investigation. Consider it the foundation of your work, as it shapes your approach, methods, and the ultimate impact of your research.

To master Problem Formulation, you need to become skilled in asking the right questions. Begin by thoroughly understanding the topic you’re exploring. What gaps or uncertainties do you notice in the existing knowledge? What specific aspect of the topic piques your interest? Craft research questions that are specific, measurable, achievable, relevant, and time-bound (SMART).

If you’re developing hypotheses, ensure they are testable and grounded in existing theories or observations. Your skills in Problem Formulation also extend to identifying the scope and boundaries of your research – understanding what you’re including and excluding from your study.

How to Improve Problem Formulation

Improving your Problem Formulation skills requires practice and iterative refinement. Start by conducting a comprehensive literature review to understand the existing research landscape in your area. This will help you identify potential gaps and formulate questions that build upon existing knowledge.

Discuss with peers, mentors, or experts in your field to gain different perspectives and insights into potential research problems. As you develop your skills, be open to revising and refining your research questions based on new information or insights. Remember, Problem Formulation is the compass that guides your research journey – the more you invest in crafting clear and well-defined questions, the more impactful and focused your research will be.

Related :  10 Fact Finding Skills and How to Develop Them

Imagine these skills as your research toolkit for maintaining order amidst the vast sea of information you encounter. Organization involves structuring and managing your research materials, while Note-Taking ensures you capture valuable insights and details for future reference. Together, they help you stay on track and prevent valuable information from slipping through the cracks.

To excel in Organization and Note-Taking, you need to develop strategies that work best for you. Start by creating a systematic folder structure on your computer to store digital documents, articles, and data sets. For physical materials, consider using labeled folders or binders. As you gather information, employ tools like reference management software to keep track of your sources and generate citations efficiently.

Simultaneously, practice effective Note-Taking during your readings and research. Jot down key points, ideas, and relevant quotes in a structured format, whether you’re using a physical notebook or a digital note-taking app.

How to Improve Organization and Note-Taking

Improving your Organization and Note-Taking skills requires a mix of discipline and adaptability. Establish consistent routines for organizing research materials, updating folders, and managing citations. Regularly review and reorganize your notes to keep them relevant and accessible. Experiment with different note-taking techniques, such as outlining, summarizing, or mind mapping, to find the approach that aligns with your learning style.

Remember, Organization and Note-Taking are your allies in navigating the sea of information – the more you refine these skills, the smoother your research journey will become and the more confident you’ll be in tackling complex topics.

Synthesis and Writing are your means of weaving together the threads of information and insights you’ve collected into a coherent and impactful narrative. Think of it as crafting a masterpiece from the puzzle pieces of your research – you’re presenting your findings, analysis, and conclusions in a way that informs and engages your audience.

To excel in Synthesis and Writing, you must become a data and idea storyteller. Begin by outlining your research paper or report. Organize your findings logically, building a structured framework that guides your reader through your research journey. Ensure each section flows smoothly, connecting the dots between concepts and evidence. While writing, focus on clarity and conciseness – avoid jargon and convoluted language that may confuse your readers. Use effective transitions to guide them from one point to the next.

How to Improve Synthesis and Writing

Improving your Synthesis and Writing skills requires both practice and revision. Start by breaking down the writing process into manageable steps – drafting, revising, and editing. Give yourself time between drafting and revising to approach your work with fresh eyes. Critically evaluate your writing for clarity, coherence, and accuracy during revision.

Consider seeking feedback from peers, mentors, or writing centers to gain insights into improving your writing style. Study well-written papers in your field to observe how experienced researchers present their ideas effectively. Remember, Synthesis and Writing are your tools for communicating your research’s impact – the more you refine these skills, the more effectively you’ll share your discoveries and contribute to the body of knowledge in your field.

Ethical Considerations encompass the principles and guidelines that ensure your research is conducted with integrity, respect for participants’ rights, and a commitment to transparency. Think of it as the moral compass that guides your research journey, ensuring that your work upholds ethical standards and contributes positively to society.

To excel in Ethical Considerations, you need to become a guardian of ethical integrity in your research. Begin by understanding the ethical guidelines and regulations specific to your field and your research type. This involves respecting participants’ autonomy by obtaining informed consent, protecting their privacy and confidentiality, and ensuring they’re treated with dignity. Additionally, uphold intellectual honesty by properly attributing sources, avoiding plagiarism, and disclosing any potential conflicts of interest.

How to Improve Ethical Considerations

Improving your Ethical Considerations skills involves a combination of awareness and vigilance. Regularly educate yourself on the ethical codes and regulations relevant to your field and research methods. When designing your research, carefully plan how you will address ethical concerns and potential risks.

As you conduct your research, stay attuned to any ethical dilemmas that may arise and be prepared to address them appropriately. Remember, Ethical Considerations are at the heart of responsible research – the more you cultivate these skills, the more your work will contribute positively to both your field and society as a whole.

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Time Management involves the art of effectively allocating your time to different research tasks, ensuring that you meet deadlines, stay on track, and maintain a balanced workflow. Think of it as your compass for navigating the often-intricate landscape of research – it helps you stay organized, productive, and in control of your research journey.

To excel in Time Management, you need to become a master of planning and prioritization. Start by breaking down your research project into manageable tasks and setting realistic goals for each stage. Create a schedule that allocates research, data collection, analysis, writing, and revision time. Be mindful of your energy levels – tackle complex tasks during your most productive hours. Embrace tools like to-do lists, calendars, and time-tracking apps to keep yourself accountable and stay aware of your progress.

How to Improve Time Management

Improving your Time Management skills requires consistent practice and self-awareness. Continuously assess your progress against your planned schedule, adjusting as needed to accommodate unexpected challenges or new insights. Develop the skill of saying no to distractions and non-essential tasks that can derail your focus.

Break larger tasks into smaller, more manageable chunks to prevent feeling overwhelmed. Regularly reflect on your time allocation and efficiency – what strategies are working well, and where can you improve? Remember, Time Management is a skill that can significantly impact your research journey – the more you refine it, the more you’ll find yourself navigating your work with greater ease and achieving your research goals with greater success.

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Adaptability is the ability to flex and evolve in response to changing circumstances, unexpected findings, and new information that arise during your research journey. Think of it as your compass for navigating the dynamic and ever-changing landscape of research – it empowers you to embrace uncertainty and adjust your course to ensure the best outcomes for your work.

To excel in Adaptability, you need to cultivate a mindset that embraces change and seeks opportunities within challenges. Start by acknowledging that research is often full of surprises and plans might need to shift. Develop a sense of resilience by staying open to revising your research questions, altering methodologies, or exploring unanticipated angles.

Being adaptable also means being resourceful – finding alternative approaches when things don’t go as planned. Embrace feedback from peers, mentors, or unexpected results, and be ready to integrate this feedback to improve the quality of your research.

How to Improve Adaptability

Improving your Adaptability skills involves practicing flexibility and embracing a growth mindset. Regularly reassess your research plan and objectives in light of new information or developments. Embrace failures and setbacks as opportunities for learning and growth rather than roadblocks. Seek out interdisciplinary perspectives and engage with new ideas that challenge your assumptions.

As you navigate through unexpected turns, continuously reflect on what you’ve learned and how you’ve adapted, so you can refine your approach in the future. Remember, Adaptability is the key to thriving in the dynamic landscape of research – the more you foster this skill, the better equipped you’ll be to tackle unforeseen challenges and emerge stronger from your research journey.

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Research Skills Conclusion

In the pursuit of knowledge and discovery, honing research skills is the linchpin that sets the stage for success. Throughout this exploration of various research skills and how to nurture them, one thing becomes evident: deliberate practice and continuous improvement are the bedrock of growth. Developing research skills is not merely a checkbox to mark; it’s a journey that empowers you to excel in your field, make meaningful contributions, and amplify the impact of your work.

Improving these skills isn’t just an option – it’s a necessity in today’s job market. The ability to gather information effectively, critically evaluate sources, analyze data, formulate problems, synthesize findings, and more, transforms the research process from a mere task into a dynamic and transformative experience. These skills serve as the pillars that uphold the credibility and validity of your work, ensuring that your contributions stand the test of scrutiny and time.

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Empowering students to develop research skills

February 8, 2021

This post is republished from   Into Practice ,  a biweekly communication of Harvard’s  Office of the Vice Provost for Advances in Learning

Terence D. Capellini, Richard B Wolf Associate Professor of Human Evolutionary Biology, empowers students to grow as researchers in his Building the Human Body course through a comprehensive, course-long collaborative project that works to understand the changes in the genome that make the human skeleton unique. For instance, of the many types of projects, some focus on the genetic basis of why human beings walk on two legs. This integrative “Evo-Devo” project demands high levels of understanding of biology and genetics that students gain in the first half of class, which is then applied hands-on in the second half of class. Students work in teams of 2-3 to collect their own morphology data by measuring skeletons at the Harvard Museum of Natural History and leverage statistics to understand patterns in their data. They then collect and analyze DNA sequences from humans and other animals to identify the DNA changes that may encode morphology. Throughout this course, students go from sometimes having “limited experience in genetics and/or morphology” to conducting their own independent research. This project culminates in a team presentation and a final research paper.

The benefits: Students develop the methodological skills required to collect and analyze morphological data. Using the UCSC Genome browser  and other tools, students sharpen their analytical skills to visualize genomics data and pinpoint meaningful genetic changes. Conducting this work in teams means students develop collaborative skills that model academic biology labs outside class, and some student projects have contributed to published papers in the field. “Every year, I have one student, if not two, join my lab to work on projects developed from class to try to get them published.”

“The beauty of this class is that the students are asking a question that’s never been asked before and they’re actually collecting data to get at an answer.”

The challenges:  Capellini observes that the most common challenge faced by students in the course is when “they have a really terrific question they want to explore, but the necessary background information is simply lacking. It is simply amazing how little we do know about human development, despite its hundreds of years of study.” Sometimes, for instance, students want to learn about the evolution, development, and genetics of a certain body part, but it is still somewhat a mystery to the field. In these cases, the teaching team (including co-instructor Dr. Neil Roach) tries to find datasets that are maximally relevant to the questions the students want to explore. Capellini also notes that the work in his class is demanding and hard, just by the nature of the work, but students “always step up and perform” and the teaching team does their best to “make it fun” and ensure they nurture students’ curiosities and questions.

Takeaways and best practices

• Incorporate previous students’ work into the course. Capellini intentionally discusses findings from previous student groups in lectures. “They’re developing real findings and we share that when we explain the project for the next groups.” Capellini also invites students to share their own progress and findings as part of class discussion, which helps them participate as independent researchers and receive feedback from their peers.
• Assign groups intentionally.  Maintaining flexibility allows the teaching team to be more responsive to students’ various needs and interests. Capellini will often place graduate students by themselves to enhance their workload and give them training directly relevant to their future thesis work. Undergraduates are able to self-select into groups or can be assigned based on shared interests. “If two people are enthusiastic about examining the knee, for instance, we’ll match them together.”
• Consider using multiple types of assessments.  Capellini notes that exams and quizzes are administered in the first half of the course and scaffolded so that students can practice the skills they need to successfully apply course material in the final project. “Lots of the initial examples are hypothetical,” he explains, even grounded in fiction and pop culture references, “but [students] have to eventually apply the skills they learned in addressing the hypothetical example to their own real example and the data they generate” for the Evo-Devo project. This is coupled with a paper and a presentation treated like a conference talk.

Bottom line:  Capellini’s top advice for professors looking to help their own students grow as researchers is to ensure research projects are designed with intentionality and fully integrated into the syllabus. “You can’t simply tack it on at the end,” he underscores. “If you want this research project to be a substantive learning opportunity, it has to happen from Day 1.” That includes carving out time in class for students to work on it and make the connections they need to conduct research. “Listen to your students and learn about them personally” so you can tap into what they’re excited about. Have some fun in the course, and they’ll be motivated to do the work.

Introduction to research skills: Home

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Research skills allow you to find information and use it effectively. It includes creating a strategy to gather facts and reach conclusions so that you can answer a question.

Starting your research

think about your topic – don’t be too vague or too specific (try mind mapping or keyword searching).

read broadly around your subject (don’t just use Google and Wikipedia). Think about a research question that is clearly structured and builds on literature already produced.

find information using the subject databases. View the Database Orientation Program to learn about databases and using search strategies to refine your search and limit results. View our library tutorial on planning your literature search and look at our library subject guides for resources on your specific topic.

Another good starting point for finding information is our library catalogue Library Search  which allows you to search across the library's electronic resources as well as major subject databases and indexes.

carry out a literature review . You may want to include journals, books, websites, grey literature or data and statistics for example. See the list of sources below for more information. Keep a record and organise your references and sources. If you are intending to carry out a systematic review then take a look at the systematic review page on our Research Support library guide.

evaluate your resources – use the CRAAP test (Currency, Relevancy, Authority, Accuracy, Purpose - watch the video, top right). 

reach considered conclusions and make recommendations where necessary.

Your research journey.

Why do I need research skills?

they enable you to locate appropriate information and evaluate it for quality and relevance

they allow you to make good use of information to resolve a problem

they give you the ability to synthesize and communicate your ideas in written and spoken formats

they foster critical thinking

they are highly transferable and can be adapted to many settings including the workplace

You can access more in depth information on areas such as primary research, literature reviews, research methods, and managing data, from the drop down headings under Research Skills on the Academic Skills home page. The related resources in the right-hand column of this page also contain useful supporting information.

• Conference proceedings
• Data & statistics
• Grey literature
• Official publications

Books are good for exploring new subject areas. They help define a topic and provide an in-depth account of a subject.

Scholarly books contain authoritative information including comprehensive accounts of research or scholarship and experts' views on themes and topics. Their bibliographies can lead readers to related books, articles and other sources. 

Details on the electronic books held by the University of Southampton can be found using the library catalogue .

Journals are quicker to publish than books and are often a good source of current information. They are useful when you require information to support an argument or original research written by subject experts.  The bibliographies at the end of journal articles should point you to other relevant research.

Academic journals go through a "peer-review" process. A peer-reviewed journal is one whose articles are checked by experts, so you can be more confident that the information they contain is reliable.

The Library's discovery service Library Search  is a good place to start when searching for journal articles and enables access to anything that is available electronically.

Newspapers enable you to follow current and historical events from multiple perspectives. They are an excellent record of political, social, cultural, and economic events and history.

Newspapers are popular rather than scholarly publications and their content needs to be treated with caution. For example, an account of a particular topic can be biased in favour of that newspaper’s political affiliation or point of view. Always double-check the data/statistics or any other piece of information that a newspaper has used to support an argument before you quote it in your own work.

The library subscribes to various resources which provide full-text access to both current and historical newspapers. Find out more about these on the Library's Newspaper Resources page.

Websites provide information about every topic imaginable, and many will be relevant to your studies.

Use websites with caution as anyone can publish on the Internet and therefore the quality of the information provided is variable. When you’re researching and come across a website you think might be useful, consider whether or not it provides information that is reliable and authoritative enough to use in your work.

Proceedings are collections of papers presented by researchers at academic conferences or symposia. They may be printed volumes or in electronic format.

You can use the information in conference proceedings with a high degree of confidence as the quality is ensured by having external experts read & review the papers before they are accepted in the proceedings.

Find the data and statistics you need, from economics to health, environment to oceanography - and everywhere between - http://library.soton.ac.uk/data .

Grey literature is the term given to non-traditional publications (material not published by mainstream publishers). For example - leaflets, reports, conference proceedings, government documents, preprints, theses, clinical trials, blogs, tweets, etc.. 

The majority of Grey literature is generally not peer-reviewed so it is very important to critically appraise any grey literature before using it.

Most aspects of life are touched by national governments, or by inter-governmental bodies such as the European Union or the United Nations.  Official publications are the documentary evidence of that interest. 

Our main printed collections and online services are for British and EU official publications, but we can give advice on accessing official publications from other places and organisations. Find out more from our web pages  http://library.soton.ac.uk/officialpublications .

Patents protect inventions - the owner can stop other people making, using or selling the item without their permission. This applies for a limited period and a separate application is needed for each country.

Patents can be useful since they contain full technical details on how an invention works. If you use an active patent outside of research - permission or a license is probably needed.

Related resources:

Checking for CRAAP - UMW New Media Archive

How to Develop a STRONG Research Question - Scribbr

Guide to dissertation and project writing - by University of Southampton (Enabling Services)

Guide to writing your dissertation - by the Royal Literary Fund  

Guidance on the Conduct of Narrative Synthesis in Systematic Reviews  - by ESRC Methods Programme

Guidelines for preparing a Research Proposal - by University of Southampton

Choosing good keywords - by the Open University

Developing a Research or Guided Question  - a self-guided tutorial produced by Arizona State University

Evaluating information - a 7 minute tutorial from the University of Southampton which covers thinking critically, and understanding how to find quality and reliable information.

Hints on conducting a literature review  - by the University of Toronto

Planning your literature search  - a short tutorial by the University of Southampton

Using Overleaf for scientific writing and publishing  -  a popular  LaTeX/Rich Text based online collaborative tool for students and researchers alike. It is designed to make the process of writing, editing, and producing scientific papers quicker and easier for authors. 

Systematic reviews  - by the University of Southampton. 

Create your own research proposal - by the University of Southampton

• Last Updated: Mar 13, 2024 3:14 PM
• URL: https://library.soton.ac.uk/sash/introduction-to-research-skills

Tips for Online Students , Tips for Students

The Best Research Skills For Success

Updated: December 8, 2023

Published: January 5, 2020

Every student is required to conduct research in their academic careers at one point or another. A good research paper not only requires a great deal of time, but it also requires complex skills. Research skills include the ability to organize, evaluate, locate, and extract relevant information.

Let’s learn how to develop great research skills for academic success.

What is Research?

We’ve all surely heard the term “research” endlessly. But do you really know what it means?

Research is a type of study that focuses on a specific problem and aims to solve it using scientific methods. Research is a highly systematic process that involves both describing, explaining, and predicting something.

Photo by  Startup Stock Photos  from  Pexels

What are research skills.

Research skills are what helps us answer our most burning questions, and they are what assist us in our solving process from A to Z, including searching, finding, collecting, breaking down, and evaluating the relevant information to the phenomenon at hand.

Research is the basis of everything we know — and without it, we’re not sure where we would be today! For starters, without the internet and without cars, that’s for sure.

Why are Research Skills Important?

Research skills come in handy in pretty much everything we do, and especially so when it comes to the workforce. Employers will want to hire you and compensate you better if you demonstrate a knowledge of research skills that can benefit their company.

From knowing how to write reports, how to notice competition, develop new products, identify customer needs, constantly learn new technologies, and improve the company’s productivity, there’s no doubt that research skills are of utter importance. Research also can save a company a great deal of money by first assessing whether making an investment is really worthwhile for them.

How to Get Research Skills

Now that you’re fully convinced about the importance of research skills, you’re surely going to want to know how to get them. And you’ll be delighted to hear that it’s really not so complicated! There are plenty of simple methods out there to gain research skills such as the internet as the most obvious tool.

Gaining new research skills however is not limited to just the internet. There are tons of books, such as Lab Girl by Hope Jahren, journals, articles, studies, interviews and much, much more out there that can teach you how to best conduct your research.

Utilizing Research Skills

Now that you’ve got all the tools you need to get started, let’s utilize these research skills to the fullest. These skills can be used in more ways than you know. Your research skills can be shown off either in interviews that you’re conducting or even in front of the company you’re hoping to get hired at .

It’s also useful to add your list of research skills to your resume, especially if it’s a research-based job that requires skills such as collecting data or writing research-based reports. Many jobs require critical thinking as well as planning ahead.

Career Paths that Require Research Skills

If you’re wondering which jobs actually require these research skills, they are actually needed in a variety of industries. Some examples of the types of work that require a great deal of research skills include any position related to marketing, science , history, report writing, and even the food industry.

Photo by  Abby Chung  from  Pexels

How students can improve research skills.

Perhaps you know what you have to do, but sometimes, knowing how to do it can be more of a challenge. So how can you as a student improve your research skills ?

1. Define your research according to the assignment

By defining your research and understanding how it relates to the specific field of study, it can give more context to the situation.

2. Break down the assignment

The most difficult part of the research process is actually just getting started. By breaking down your research into realistic and achievable parts, it can help you achieve your goals and stay systematic.

3. Evaluate your sources

While there are endless sources out there, it’s important to always evaluate your sources and make sure that they are reliable, based on a variety of factors such as their accuracy and if they are biased, especially if used for research purposes.

4. Avoid plagiarism

Plagiarism is a major issue when it comes to research, and is often misunderstood by students. IAs a student, it’s important that you understand what plagiarism really means, and if you are unclear, be sure to ask your teachers.

5. Consult and collaborate with a librarian

A librarian is always a good person to have around, especially when it comes to research. Most students don’t seek help from their school librarian, however, this person tends to be someone with a vast amount of knowledge when it comes to research skills and where to look for reliable sources.

6. Use library databases

There are tons of online library resources that don’t require approaching anyone. These databases are generally loaded with useful information that has something for every student’s specific needs.

7. Practice effective reading

It’s highly beneficial to practice effective reading, and there are no shortage of ways to do it. One effective way to improve your research skills it to ask yourself questions using a variety of perspectives, putting yourself in the mind of someone else and trying to see things from their point of view.

There are many critical reading strategies that can be useful, such as making summaries from annotations, and highlighting important passages.

Thesis definition

A thesis is a specific theory or statement that is to be either proved or maintained. Generally, the intentions of a thesis are stated, and then throughout, the conclusions are proven to the reader through research. A thesis is crucial for research because it is the basis of what we are trying to prove, and what guides us through our writing.

What Skills Do You Need To Be A Researcher?

One of the most important skills needed for research is independence, meaning that you are capable of managing your own work and time without someone looking over you.

Critical thinking, problem solving, taking initiative, and overall knowing how to work professionally in front of your peers are all crucial for effectively conducting research .

1. Fact check your sources

Knowing how to evaluate information in your sources and determine whether or not it’s accurate, valid or appropriate for the specific purpose is a first on the list of research skills.

2. Ask the right questions

Having the ability to ask the right questions will get you better search results and more specific answers to narrow down your research and make it more concise.

3. Dig deeper: Analyzing

Don’t just go for the first source you find that seems reliable. Always dig further to broaden your knowledge and make sure your research is as thorough as possible.

4. Give credit

Respect the rights of others and avoid plagiarizing by always properly citing your research sources.

5. Utilize tools

There are endless tools out there, such as useful websites, books, online videos, and even on-campus professionals such as librarians that can help. Use all the many social media networks out there to both gain and share more information for your research.

6. Summarizing

Summarizing plays a huge role in research, and once the data is collected, relevant information needs to be arranged accordingly. Otherwise it can be incredibly overwhelming.

7. Categorizing

Not only does information need to be summarized, but also arranged into categories that can help us organize our thoughts and break down our materials and sources of information.

Photo by  Noelle Otto  from  Pexels

What are different types of research, 1. qualitative.

This type of research is exploratory research and its aim is to obtain a better understanding of reasons for things. Qualitative research helps form an idea without any specific fixed pattern. Some examples include face-to-face interviews or group discussions.

2. Quantitative

Quantitative research is based on numbers and statistics. This type of research uses data to prove facts, and is generally taken from a large group of people.

3. Analytical

Analytical research has to always be done from a neutral point of view, and the researcher is intended to break down all perspectives. This type of research involves collecting information from a wide variety of sources.

4. Persuasive

Persuasive research describes an issue from two different perspectives, going through both the pros and cons of both, and then aims to prove their preference towards one side by exploring a variety of logical facts.

5. Cause & Effect

In this type of research, the cause and effects are first presented, and then a conclusion is made. Cause and effect research is for those who are new in the field of research and is mostly conducted by high school or college students.

6. Experimental Research

Experimental research involves very specific steps that must be followed, starting by conducting an experiment. It is then followed by sharing an experience and providing data about it. This research is concluded with data in a highly detailed manner.

7. Survey Research

Survey research includes conducting a survey by asking participants specific questions, and then analyzing those findings. From that, researchers can then draw a conclusion.

8. Problem-Solution Research

Both students and scholars alike carry out this type of research, and it involves solving problems by analyzing the situation and finding the perfect solution to it.

What it Takes to Become a Researcher

• Critical thinking

Research is most valuable when something new is put on the table. Critical thinking is needed to bring something unique to our knowledge and conduct research successfully.

• Analytical thinking

Analytical thinking is one of the most important research skills and requires a great deal of practice. Such a skill can assist researchers in taking apart and understanding a large amount of important information in a short amount of time.

• Explanation skills

When it comes to research skills, it’s not just about finding information, but also about how you explain it. It’s more than just writing it out, but rather, knowing how to clearly and concisely explain your new ideas.

• Patience is key

Just like with anything in life, patience will always take you far. It might be difficult to come by, but by not rushing things and investing the time needed to conduct research properly, your work is bound for success.

• Time management

Time is the most important asset that we have, and it can never be returned back to us. By learning time management skills , we can utilize our time in the best way possible and make sure to always be productive in our research.

What You Need to Sharpen Your Research Skills

Research is one of the most important tasks that students are given in college, and in many cases, it’s almost half of the academic grade that one is given.

As we’ve seen, there are plenty of things that you’ll need to sharpen your research skills — which mainly include knowing how to choose reliable and relevant sources, and knowing how to take them and make it your own. It’s important to always ask the right questions and dig deeper to make sure that you understood the full picture.

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Search Form

Fundamental writing skills for researchers, part 1 introduction and snapshot of writing (6:31).

Everyone is capable of being a good writer, even without any innate skill. A snapshot of research writing is given, from presenting a research question in context of current knowledge to interpreting your findings. In other words, moving from general to specific, then specific to general. It's important to be a careful and intentional writer. It's not about writing, it's about readability. Focusing on your readers and their needs helps make your message clear.

Part 2 Making Meaning Clear (6:31)

"Going-to-the-Caribbean writing" is boring, dense, and generally not reader-friendly because it lacks transitions, logic, and concern for reader understanding. An example of "Caribbean writing," along with a more reader-friendly revision, is provided. Good writing clearly communicates meaning to readers by always keeping their needs in mind.

Part 3 Writing Myths (4:20)

The impulse to impress readers with complex sentences and pretentious words is regrettably common in research writing. Writing to impress seeks validation for the writer rather than comprehension for the reader. Revision is always needed because ideas don’t flow logically from the writer's mind to the page.

Part 4 How Readers Read and Respond (7:19)

There are several levels of a reader's response to a piece of writing. The writer is responsible for the reader’s experience in everything from visual appeal and organization to readability and tone. The purpose of research writing is to convey your data and interpretations of that data while convincing your reader that your perspective is valid. Critique your writing by continually keeping your reader in mind.

Part 5 Helping Your Audience Interpret Your Meaning (11:58)

Your role as writer is to make sense—to make your meaning clear to the reader. Use punctuation, grammar, and other language conventions as road signs to help your reader interpret your writing. Basic vocabulary and simple sentence construction is sufficient, even for winning the Nobel Prize in Literature. But your audience may vary, and that takes very careful planning on your part.

Part 6 Giving Structure to Your Writing (6:24)

Paragraphs, topic sentences, and transitions provide the structure of your writing. Mastering these building blocks is the key to being able to clearly communicate your thinking to your reader. The topic sentence is the king or queen of the sentence and each line of the paragraph should support or elaborate upon that main thought. Transitions are used to help the reader move from one thought to the next, whether within a sentence, from sentence to sentence, or from paragraph to paragraph.

Part 7 Writing as a Logical Process (10:07)

Writing is a logical process, and a sentence is like a mathematical formula. Using levels of generality allows you to move from general to specific levels of detail. Sometimes you'll need to use more words to make your meaning clear to the reader. A piece of writing is not clear simply because it is brief.

Download the Logical Puzzles Handout

Part 8 Making Meaning Clear (9:13)

Logic doesn't flow naturally from mind to paper. You are responsible for writing a clear topic sentence and supporting it in a logical way. Transitions point out to the reader the logical connections between ideas, and order is important. Outlining will help you write effectively and more efficiently.

Part 9 Outlining (8:12)

Planning your writing will save you a great deal of time. Again, levels of generality come into play here, as does the structure of a paragraph. But don't focus on the skeleton of an outline, emphasize the content as you coordinate and subordinate your ideas. When you create an outline, step back and analyze it critically. You need to impose logic on your writing, then crystallize your logic by making specific connections.

Part 10 Headings, Figures, Rhythm, and Length (4:15)

Headings and subheadings used consistently help your reader see the structure of your writing. Tables, figures, and charts are powerful aids to making your meaning clear. But don't just present them to your reader; interpret their significance. Finally, you’ll also improve readability by varying the length and construction of your sentences.

Research Analyst Skills

Learn about the skills that will be most essential for Research Analysts in 2024.

Getting Started as a Research Analyst

• What is a Research Analyst
• How To Become
• Certifications
• Tools & Software
• LinkedIn Guide
• Interview Questions
• Work-Life Balance
• Professional Goals
• Resume Examples
• Cover Letter Examples

What Skills Does a Research Analyst Need?

Find the important skills for any job.

Types of Skills for Research Analysts

Critical thinking and analytical skills, technical proficiency and data management, quantitative research and statistical knowledge, communication and visualization, industry knowledge and business acumen, top hard skills for research analysts.

• Critical Thinking and Analytical Reasoning
• Effective Communication

Attention to Detail

• Problem-Solving
• Adaptability and Flexibility
• Time Management and Prioritization
• Collaboration and Teamwork
• Creativity and Innovation
• Emotional Intelligence
• Persuasion and Negotiation

Top Soft Skills for Research Analysts

• Data Collection and Management
• Statistical Analysis and Quantitative Methods
• Data Visualization and Reporting
• Advanced Excel and Spreadsheet Proficiency
• Database Management and SQL
• Programming Skills in Python or R
• Econometrics and Modeling Techniques
• Machine Learning and Predictive Analytics
• Survey Design and Implementation
• Big Data Analytics Tools (e.g., Hadoop, Spark)

Most Important Research Analyst Skills in 2024

Advanced analytical proficiency, critical thinking and problem solving, technological savvy, effective communication and storytelling, industry-specific knowledge, quantitative research methodologies, adaptability and continuous learning.

Show the Right Skills in Every Application

Research analyst skills by experience level, important skills for entry-level research analysts, important skills for mid-level research analysts, important skills for senior research analysts, most underrated skills for research analysts, 1. intellectual curiosity, 2. effective communication, 3. active listening, how to demonstrate your skills as a research analyst in 2024, how you can upskill as a research analyst.

• Master Advanced Data Analytics Tools: Invest time in learning cutting-edge data analysis software and platforms that are becoming industry standards, to handle large datasets more efficiently.
• Develop Proficiency in Statistical Programming: Gain expertise in programming languages such as R or Python, which are essential for complex data manipulation and analysis.
• Expand Your Knowledge in Machine Learning: Explore machine learning techniques to uncover deeper insights from data and stay competitive in the field of advanced analytics.
• Enroll in Specialized Research Methodology Courses: Keep abreast of the latest research methodologies by taking courses from accredited institutions or online learning platforms.
• Build a Strong Foundation in Data Ethics: Understand the ethical implications of data handling and analysis to ensure integrity and trustworthiness in your research.
• Participate in Research Forums and Networks: Engage with the research community through forums, webinars, and professional networks to exchange ideas and stay informed about industry trends.
• Seek Opportunities for Collaborative Research: Collaborate with peers from different disciplines to broaden your perspective and enhance your analytical skills.
• Attend Industry-Specific Seminars and Conferences: Stay updated on sector-specific insights and developments by attending relevant events, which can also serve as networking opportunities.
• Focus on Effective Communication of Findings: Improve your ability to communicate complex data and analysis clearly to stakeholders through visualization tools and storytelling techniques.
• Embrace Continuous Learning: Dedicate time to reading academic journals, industry reports, and books to keep your knowledge current and comprehensive.

Skill FAQs for Research Analysts

What are the emerging skills for research analysts today, how can research analysts effectivley develop their soft skills, how important is technical expertise for research analysts.

Research Analyst Education

More Skills for Related Roles

Unlocking business insights through data, driving strategic decisions with numbers

Transforming data into insights, driving strategic business decisions and growth

Unearthing insights from data, driving strategic decisions with predictive analytics

Interpreting economic trends, shaping business strategy with insightful analysis

Unearthing insights and data to drive decision-making, shaping the future of research

Driving business growth and efficiency through data-driven insights and strategic analysis

Start Your Research Analyst Career with Teal

Institute for Employment Research National Guidance Research Forum

Developing your research skills.

Developing Your Research Skills

Contribution from Jenny Bimrose, Warwick Institute for Employment Research (2003).

The following materials provide an introduction to some key issues for designing and progressing a research project in guidance through to successful completion.

Links to subsections: Contents

STAGE 1: Identifying a research need within a guidance (or related) context

Stage 2: reading for research, stage 3: selecting appropriating methods and procedures, stage 4: research models, traditions and approaches, stage 5: writing a research report.

Bibliography

Research in Practice website

Harvard Reference Style

This section will help you plan your research project.

1.1 Introduction

To carry out research, you will need to carry out a variety of tasks. Robson (1993:pxvii) identifies the main ones as:

deciding on the focus; developing the research question(s); choosing a research strategy; selecting the method(s); arranging the practicalities; collecting the data; preparing for, and carrying out analysis; reporting what you have found; and possibly acting on your findings There is no shortage of advice in books on how to approach your research (see the References and Bibliography sections - though, please note, that there are many other standard texts which contain the same type of general information). It is worth spending time reviewing the advice and suggestions contained in a selection of these texts, since learning from the experience of the experts who have written these texts can often save you time and effort in the longer term.

1.2 Objective: stage 1

The first stage in conducting successful research involves identifying a realistic and achievable research need which is relevant to your professional area, then undertaking some initial planning of your project.

By the end of this stage of your research project, you should have:

gathered and selected information from a variety of sources which is appropriate to your broad area of interest; synthesised this information to identify a research need; identified constraints associated with your chosen research focus together with possible solutions to potential problems they represent; considered likely trends related to the prospective research area; written a brief research proposal outlining your ideas for research (see 1.8 below).

1.3 Keeping a research diary

It is usual for initial ideas to change as you become more and more involved with the process of research. Because of this, it is worth keeping some informal notes about your progress, like a personal diary, which keeps a reasonably accurate record of key issues. These could include:

how and why you selected the particular focus for your study; difficulties anticipated and actually encountered; how and when difficulties are overcome; sources of inspiration; thoughts and feelings; insights and anxieties; critical turning points, etc. To ensure you do actually keep a diary, it’s important to select an approach to keeping a diary with which you feel comfortable. A small notebook would suffice or, alternatively, Blaxter et al (1996) suggest that diaries can also be kept on tape or a word processor. Whichever method of recording your choose, try to keep it readily accessible, so that ideas can be jotted down as and when they arise.

1.4 Models of research process

‘A rationale for the methods used to gather and process data, in what sequence and on what samples, taken together, constitutes a research methodology.’ Cryer, 1996: 45

The task of carrying out a research inquiry is complicated by the fact that there is no consensus about the way this should be done (Robson, 1993). A fundamental difference relates to the sequence and relationship of activities involved. One model says that you collect all the data before analysing it. One other model requires that data collection and analysis are intertwined. Another difference relates to views about the role of theory. Such differences can be categorised into two main traditions: quantitative (positivist, natural-science based, hypothetico-deductive) and qualitative (interpretative, ethnographic). The implications of adopting one as opposed to the other of these models are discussed later (4.5 and 4.6 below). However, whichever of these approaches (or combination of approaches) you decide to adopt, you will still need to develop your focus at an early stage of your research.

1.5 Selecting a topic

If you are reading this information, it is likely that you already have one (maybe several) idea(s) or a particular area of interest that you would like to research. To help you make your final selection, try to find out just how much has been written each topic. You probably won't have time to read extensively on each topic, so using a library catalogue can be a useful way of identifying relevant material. For example, try the catalogue linked to the careers library that can be accessed through this Forum). Additionally, talk to colleagues and others who might be interested. Discussing ideas about possible topics and the associated problems is an essential part of planning your research. Views may differ from (even conflict) with your own and you may be able to identify alternative approaches as a result of this process. For example, colleagues may be aware of sensitive aspects of certain topics that could cause difficulties at some stage. Use the discussion facility of the Forum to test out your ideas. If you are hoping to carry out research in your own employing organisation, early consultation with relevant individuals is essential to avoid later difficulties.

In selecting a topic, there is often a tendency to be over-ambitious. With limited resources (including time) at your disposal it’s important to prepare the ground carefully. Discussions and inquiries will help you select a topic which is likely to be of interest, which you have a good chance of completing and which may well have some practical application in a guidance context.

1.6 Ethical considerations

At a very early stage of your preparations to carry out research it is vital that you give serious thought to the ethical aspects of the enquiry you are proposing. Ethics refers to rules of conduct, and adopting an ethical approach involves conformity to a code or set of principles. Ethical problems can start at the very beginning of study. Some issues, which may be relevant to your research, are identified by Robson (1993:31):

Do individuals have the right not to take part? Even if they do, are there any overt or covert penalties for non-participation (e.g. 'it will look good on your reference if you have taken part in this study'). Do they know what they are letting themselves in for? Is their consent fully informed? Will individuals participating be protected, not only from any direct effects of the intervention, but also by the investigator ensuring that the reporting of the study maintains confidentiality? Is confidentiality always appropriate? If people have done something praiseworthy and put extra effort and time, should they get credit for this? Conversely, if inefficiency or malpractice is uncovered in your study, should the guilty ones be permitted to hide? What responsibility do investigators have for the knowledge they have acquired? Should those undertaking applied research target their knowledge and take responsibility for the consequences? These are just some examples. Each needs careful thought for your particular situation. Robson (1993: 32) lists ten questionable practices in social science research, relevant to a guidance context. These are:

Involving people without their knowledge or consent. Coercing them to participate. Withholding information about the true nature of the research. Otherwise deceiving the participant. Inducing them to commit acts diminishing their self-esteem. Violating rights of self-determination (e.g. in studies seeking to promote individual change). Exposing participants to physical or mental stress. Invading their privacy. Withholding benefits from some participants (e.g. in comparison groups). Not treating participants fairly, or with consideration, or with respect. He goes on to identify ethical principles relevant for 'action research' - one approach that you may choose to adopt, relevant to a guidance context, characterised by a collaborative effort between researcher and 'researched'. Ethical guidelines for this type of research emphasise the need for negotiation and involvement in the research process. These include:

Observe protocol: Ensure that the relevant persons, committees and authorities have been consulted and informed and that the necessary permission and approval has been obtained. Involve participants: Encourage those who have a stake in the improvement you envisage, shape the form of the work. Negotiate with those affected: Remember that not everyone will want to be directly involved. Your research should respect this. Report progress: Keep the work visible and remain open to suggestions to that both anticipated and unanticipated developments can be dealt with. All involved must have the opportunity to raise concerns with you. Negotiate descriptions of people's work. Always allow those described in your research to challenge your accounts on the grounds of fairness, relevance and accuracy. Negotiate reports for various levels of release. Different audiences demand different levels of reports. 1.7 Planning your research project

Bell (1993:23) provides a useful checklist for planning your project, which identifies the following stages:

Draw up a short list of topics; Select a broad topic for investigation; Refine the precise focus of the study; Decide on the aims and objectives; Draw up an initial project outline; Read enough to ensure you’re on the right lines; Devise a timetable to enable you to check that all stages will be covered and time allowed for writing. By the time you have completed all of these planning phases, you will be ready to write your Research Proposal.

1.8 Research proposal

It is good practice to produce a brief research proposal after your preliminary investigations. This need not be long or complicated, but helps order thoughts and organise subsequent action. It is also good preparation for when you may wish to submit a formal application for funding for research. It should include:

a statement of the research (including, aims and objectives), sources to be examined and identification of any potential ethical issues; a provisional timetable for carrying out the research and writing the report; a rationale for the research, which identifies probable outcomes (what you hope to achieve); a provisional outline of your research report, which can be expanded as your research progresses. Cryer (1996:51) identifies some examples of research outcomes, which are relevant to a guidance context:

A new product e.g. a book, a video, worksheets, etc. A development of or an improvement on something that already exists. A new theory. A reinterpretation of an existing theory. A new research tool or technique. A new model or perspective. An in-depth study. A critical analysis e.g. an analysis of the effects of a particular policy. A collection of general findings or conclusions.

Once you have written your research proposal, you are ready to move on to second stage of your research.

This section will help you focus on identifying and managing the reading materials for your research project.

2.1 Introduction

Carrying out any worthwhile research project will involve a significant amount of reading. The purpose of research is to extend and develop knowledge and understanding. Reading is an integral part of this process. Reading for research in guidance will probably involve reviewing or refreshing your current knowledge base (e.g. theories on which practice is based) as well as undertaking new reading. The types of skills required with reading for research (e.g. how to read, deciding what to read, how to interpret your reading) can be a source of anxiety, so the following sections have been designed to support and/or develop these skills.

2.2 Objective: stage 2

By the end of the second stage of your research you will be able to:

communicate effectively and clearly with others in the discipline area; develop information storage and retrieval strategies; develop skills relevant to library and resource use; develop skills relating to the organisation of reading, research time and tasks; use information to construct a rationale for your research project. 2.3 Information storage and retrieval strategies

For successful research, you will need to be familiar with the sound methods of keeping records and making notes. Whilst locating information for the first time can be difficult, re-locating it can be even more of a problem unless you have developed systematic record-keeping procedures. As well as keeping a record of useful sources, you should also keep a record of sources that proved to be of no interest (and why) to save valuable time later if you come across the same reference again. Remember that for all your sources, you need to record sufficient information for constructing your bibliography (see 2.7 below).

A number of texts on research suggest adopting a card index system (e.g. Bell, 1993 and Cryer, 1996). The merits of using different size cards are discussed (e.g. to contain more or less information) and the potential for keeping cards for various sources in different sections (e.g. cards on books in one section, cards on articles in another, etc.). Other methods could include using part of your 'Research Diary' (see 2.3 above), or using a computer to develop systems of recording.

Adopting a system may prove challenging because breaking off from reading an interesting report, article or chapter to record the necessary details requires a good deal of self-discipline – especially when you’re working under pressure. It is, however, worth persevering since your recording system will undoubtedly be a key feature of producing a high quality research report.

2.4 Reading for research

You may already have been involved in research connected with your professional role and this may have been undertaken without much direct reading (e.g. if you have been involved in administering questionnaires on someone's behalf). However, for research requiring more in-depth involvement, reading is essential since it will both be stimulated and informed by the knowledge acquired by your reading. Blaxter et al (1996:94) usefully suggest that reading should be undertaken at different stages of your research and for different purposes, as follows:

At the beginning of your research: to check what other research has been done, to focus your ideas and to explore the context for your project. During your research: to keep you interested and up to date with developments, to help you better understand the methods you are using and the field you are researching, and as a source of data. After your research: to see what impact your own work has had and to help you develop ideas for further research projects. Purposes of reading for your research are to familiarise yourself with:

research which has been undertaken on topics similar to your own; research methods being applied in ways which are similar to your own plans; accounts of the context relating to your project 2.5 Potential difficulties

One common difficulty is getting hold of relevant books, reports or journal articles. The careers library which can be accessed through this website, is one obvious source of relevant materials. However, remember that there is often competition for popular and scarce resources, so careful planning may be necessary to ensure you manage to access key texts for your research when you need them. It may also be necessary to negotiate access to libraries near to where you live. Local libraries can be very helpful - ordering specialist books on request – and you may be lucky enough to live near a University library, which often allow access to researchers. Wherever you access literature, you probably need to give some careful thought and planning to how and when you will access the material you wish to read.

Apart from libraries, you will need to use a wide variety of other sources for your reading. Your employer, colleagues, supervisors, friends, relations - even clients and research subjects - can prove to be a rich source of relevant material. The Internet can also produce relevant information and can be invaluable for identifying and locating possible material.

Blaxter et al (1996) identify four common concerns about reading for research:

the volume of literature: how do you get to grips with this? the variety of literature: how do you go about using the vast range of sources available? lack of boundaries: how do you decide which areas of literature are relevant? conflicting arguments: how do you assess and evaluate competing explanations? If you can identify with any, or all, of these concerns it is probably worth spending some time developing strategies for reading for research. Again, a number of texts that are readily available provide helpful hints on dealing with these sorts of problems. Some of these are summarised next.

2.6 Basic reading strategies

What to read Read as much as possible from as many sources as possible - books, journals, computer-based materials, reports, the popular media (daily and weekly press, magazines), memos, minutes, internal reports and even letters.

Remember that, even though it is important to be as up-to-date as possible, this does not preclude older sources like classic texts. Edited texts and literature reviews are also particularly useful for research purposes. The careers library accessed through this website is a rich source of this type of material since it contains historical collections of guidance materials. They can provide invaluable overviews of an area as well as excellent introductions to an area – though try to balance these with references to original materials where possible. Methodological accounts are also valuable sources.

Make sure you understand the extent to which the texts that you are using make use of original data:

primary sources: contain original data; secondary sources: contain discussions and interpretations of data, in which the author typically argues for a particular point of view; tertiary sources: presents information and references to the sources of that information. It’s best to try to draw from a mix of sources for your research report.

Making selections Familiarise yourself with key texts relevant to your research topic and then supplement with a broader, but selective, reading around the topic. Develop a selective approach by, for example:

Taking advice from available sources: for example from your colleagues or manager at work. Use the discussion section of this website under different section headings (e.g. Equal Opportunties; Improving Practice; Impact Analysis). Locating books or journals that appear relevant in a careers library by asking, browsing or using a catalogue. Keyword searches on computer-based catalogues are very useful. Following up interesting references from your original sources. Identifying key texts by noting those that are referred to repeatedly. Selective reading If you haven’t already done so, you will need to develop the skill of selective reading because you will not have time to read thoroughly all the written sources with which you need to be familiar. The following tips can help develop this skill:

record the author(s), title, publisher and date of the book, report or articles. Keep this safely and any notes you make on the content; look for an introduction, concluding chapter, abstract or executive summary. If it exists, read quickly, scanning the contents. If the book or report has a cover, the information printed there can be useful; with books and reports, look for the contents page. Identify any chapters that you think may be of particular relevance and focus on them, again starting from the introduction and/or conclusion. You can find your way through a chapter or section by using the sub-headings; in the text itself, key points will often be highlighted, or in the first or last paragraphs. Similarly, the first and last sentences of paragraphs are often used to indicate and summarise their contents. Remember - you should be able to understand the key points of a book or article in no more than five minutes. This should enable you to decide you need go no further, or decide which parts of the book or article you need to read in depth.

Critical reading This requires careful examination of what others have written (or said) on a particular subject. It is a difficult skill to develop but important for successful research. The types of questions you will need to ask as you are reading: does the author present convincing arguments or evidence to support assertions? Is information easy to find? Are the views expressed consistent? Are clear distinctions made between fact and opinion?

Blaxter et al (1996:106) suggest that critically sound sources:

go beyond mere descriptions by arguing their position - making a personal response to what has been written; relate different writings to each other, indicating their differences and contradictions, and highlighting what they are lacking; do not take what is written at face value; are explicit about the values and theories which inform and colour reading and writing; view research writing as contested terrain, within which alternative views and positions may be taken up; show an awareness of the power relations involved in research, and of where writers are coming from; use a particular language (e.g. the author asserts, argues, states, concludes or contends). 2.7 Referencing

There are several acceptable ways of recording sources and other information. The Harvard method is a common method that has various advantages. For example, it avoids footnotes and all sources mentioned appear at the end of your dissertation rather than at the end of each chapter. When sources are referred to in the text, only the name(s) of author(s) and year of publication appear. Even though there are different styles of referencing, they will probably contain the information identified below.

Books For all books you wish to include in your Bibliography, you will need the following information:

Author's surname and initials Year of publication (in brackets) Title (underlined) Edition, if relevant (in brackets) Place of publication Name of publisher

For example: Hodkinson, P., Sparkes, A.C. & Hodkinson, H. (1996) Triumphs and Tears: young people, markets and the transition from school to work, London, David Fulton Publishers.

References in the text should be given as follows:

Smith and Brown (1998:175) or (Smith and Brown, 1998:175)

Where there are three or more authors, only give the name of the first:

Smith et al. (1997:203) or (Smith et al., 1997:203)

When an author has published two or more items in one year, the references should be distinguished by:

Smith (1996a) Smith (1996b) and so on.

Where more than one reference has to be given at a single point in the text, they should be listed chronologically:

Brown (1986:47), Jones (1992:106) and Kaput (1997:427)

Articles and Chapters in Books quote the following:

Author's surname and initials Year of publication (in brackets) Title (in inverted commas or italics) Source of journal or book, that is: ~ Title of journal or book (underlined) ~ Volume number, issue and page numbers in journals

For example: Savickas, M.L. (1995) Current Theoretical Issues in Vocational Psychology: Convergence, Divergence, and Schism in Walsh, W.B. and Osipow, S.H. Handbook of Vocational Psychology: Theory, Research and Practice, (2nd ed) Mahwah, New Jersey: Lawrence Erlbaum Associates.

Articles in Journals quote the following:

Author's surname and initials Year of publication Title (inverted commas or italics) Title of journal (underlined) Volume number, issue and page numbers

For example: Betz, N.E., Harmon, L.W. & Borgen, F.H. (1996) The Relationships of Self-Efficacy for the Holland Themes to Gender, Occupational Group Membership, and Vocational Interests in Journal of Counseling Psychology, 43, 1, p90-98.

Citing Web Pages As with printed references, the title should be either in Italics or underlined. Note that round brackets are used for (year) and (edition). Where there is no year given on the web material, your would record this as (no date).

Note also that square brackets are used for [medium] and [access date]. The access date is the date you last accessed that reference. This is important, given the volatility of web material, because it offers some indication of the currency of the reference. Without your access date, there might be no intention of how old the material is.

Author/editor. (Year). Title (edition).[Type of medium].Producer (optional). Available Protocol (if applicable):Site/Path/File[Access date].

For example: Equal Opportunities Commission (2003) ‘The Development of Gender Roles in Young Children’. [Online]. Available: http://www.eoc.org.uk/PDF/gender_roles.pdf [2003, May 22].

Whichever method you select for your Bibliography and referencing, remember that it is important to be consistent.

This section will help you to decide how to collect the evidence you require for your research project.

3.1 Introduction

Once you have decided on a research topic, you will be able to decide how to collect the evidence you require. This section will be concerned with general issues associated with the selection of methods and appropriate procedures for the project.

3.2 Objectives: stage 3

By the end of this stage of your research project, you will be able to:

identify appropriate criteria by which to judge the validity of a guidance project; approximate and estimate time involved, necessary materials and the quantities in which they are required, costs of the research, etc.; identify design principles relevant to the chosen research area; identify the major issues or problems in the specific research area; demonstrate the ability to re-formulate research design in response to unexpected circumstances; synthesise material, evidence and arguments to select appropriate methods and procedures for the project. 3.3 Validity, Reliability and Relevance

When judging the quality of any research, reliability, validity and relevance are important.

The validity of research refers to the credibility of the results. Has the research actually done the things it claims to do? Does an item measure or describe what it is supposed to measure or describe? In considering these issues, it needs to be acknowledged that discussions about validity provoke controversy amongst researchers. Some have rejected the concept of validity as inapplicable since it implies the possession of knowledge that is absolutely certain and, in this sense, knowledge can never be certain. McLeod (1999) argues that the concepts of validity and reliability that have been developed for use in quantitative research can’t be applied in the same way in qualitative studies. Nevertheless, in deciding the value of our own and other research, we need to be able to make reasoned judgements about it as a new contribution to knowledge.

Measuring the extent of validity can become extremely involved and there are different levels at which the question of validity can be considered. Put simply, if your research is valid, then you are observing, identifying or measuring what you say you are. A rough guide would be to ask the question: ‘would another researcher using my research instrument get the same responses?’ Additionally, ask other people whether the questions or items you have devised are likely to achieve what you want. Three different aspects of validity are discussed below:

Plausibility:

How plausible is this claim: that is, do we judge it to be likely to true, given our existing knowledge? Some claims may be so plausible that we can reasonably accept them at face value without needing to know anything else.

Credibility:

Does it seems likely that the researcher's judgement of matters relating to the claim is accurate, given the nature of the phenomena concerned, the circumstances of the research, the characteristics of the researcher, etc.?

Where a claim is neither sufficiently plausible, nor sufficiently credible, then we require evidence. When examining the evidence, we need to employ much the same means to assess its validity as we applied to the claim itself (plausibility and credibility) - and may require even more evidence!

McLeod (1999:101) outlines nine criteria suitable for evaluating the validity of qualitative research, which include:

Sufficient contextualisation of the study: Since qualitative research is more concerned with developing knowledge that is relevant and useful at particular times and places, it is necessary to contextualise the study in its historical, social and cultural location.

Credibility of the researcher (reflexivity):A reflexive account of internal processes of research, covering, for example, how contact was made with informants, issues of trust and rapport, how mistakes and misconceptions were dealt with, whether there was agreement over goals and tasks.

Catalytic validity: Defined as the degree to which the research process reorients, focuses and energies participants. Implicit in this is the idea that research should empower those who take part in it.

McNiff (1992) discusses the issue of validity in relation to action research, and distinguishes three types: 1) self validation, 2) peer validation and 3) learner validation. Action research is an approach that often has particular appeal to researchers working on issues related to professional practice. Because much of what McNiff (1992) discusses is applicable to a careers guidance and counselling context, a summary of some of the points she makes on validity follows.

Self-validation: If you are researching within the broad area of guidance and counselling, you are likely to be involved in interpreting your own practice and in making decisions about improving it. The implication of self-validation in this context refers to the potential of these interpretations of your own practice being recognised. McNiff (1992:133) discusses how certain criteria justify an individual's claim to knowledge. They include:

Practice as a realisation of values: where guidance and counselling research starts with a declaration (spoken or written) of values – for example, 'my clients have a right to self-determination'. Often the research inquiry is stimulated because those values are being denied in practice. If clients are being denied the service you think they deserve, this is where a cycle of imagined solutions, implementation, observation, evaluation, re-planning is enacted. Intentional critical reflection: where research inquiry occurs as a result of critical reflection, a desire to explore an intuitive understanding of practice and communicate it to others. Disciplined enquiry: where a researcher demonstrates publicly that s/he has followed a system of disciplined enquiry in arriving at a hypothesis. Personal interpretation as a basis for dialogue: where individuals recognise the potential in their interpretations of their own practice. Peer validation: This relates to the notion that a claim to knowledge or expertise derived from practice must be validated externally. It is the process whereby your findings are made available to and scrutinised by others who can agree that these findings are of interest and could be useful to their own practice. This external validation can come from a number of sources, including colleagues, manager or supervisor, the wider guidance and counselling community, other students, etc. Peer validation can be effective in moving your ideas forward. Questions may be asked which provide new insights and ways of thinking about your research, and invariably you will gain more confidence to progress your research from the process of peer validation.

Client validation: It is particularly useful to get the reactions of the clients themselves. This may be presented in short, written statements, recordings (tape or video), reports, etc. For example, data about the use of labour market information by guidance practitioners could be collected during focus group discussions. This could be written up into a report that was circulated to the practitioners who were asked to validate the accuracy of the reports. The findings could then be circulated more widely to the guidance community who are asked to comment on the relevance of these findings to their own experiences. This represents a powerful chain of validation.

Overall, validation of research findings in a guidance and counselling or related context is likely to involve the development of self-knowledge followed by a genuine attempt to share that knowledge with others.

Reliability

Whatever procedure is used for collecting data for research, it should always be examined critically to assess to what extent it is likely to be reliable, as well as valid. Reliability is the extent to which a test or procedure produces similar results under constant conditions on all occasions. Bell (1993:65) suggests two questions to ask yourself when checking items on a questionnaire or interview schedule you may devise to collect data. They are:

would two interviewers using the schedule or procedure get a similar results? would an interviewer obtain a similar picture using the procedures on different occasions? There are a number of devices for checking reliability in scales and tests. For example:

test-retest method: administering the same test some time after the first; alternate forms method: where equivalent versions of the same items in the test are given and results correlated; split-half method: where the items in the test are split into two matched halves and scores then correlated. These methods are not always feasible or necessary, and there are disadvantages and problems associated with all three. Such mechanisms are not usually necessary unless you are attempting to produce a test or scale. The check for reliability will come at the stage of wording questions and piloting your research instrument(s).

A third criterion for judging research in the area of guidance and counselling is relevance. Since the purpose of any research inquiry is to extend knowledge and understanding, it follows that this must be communicated to a wider audience. When we communicate with people, they assume that we are telling them something that is likely to be of significance to them. It follows that what is communicated should be relevant in some way to the chosen audience. Who are the appropriate audiences for your research and what sort of relevance should your research have for them? Audiences for research reports vary. If you are undertaking a research project within your employing organisation, its primary audience is likely to be members of that organisation. Additionally, your research findings should have some relevance to other audiences. These may include other researchers, a particular practitioner audience or even a more general audience. Whatever audience(s) you select as your target(s), you will need to consider two aspects of the relevance of your research:

importance of the topic: must relate to an issue of importance to the intended audience; contribution to existing: must add something to our knowledge of the issue to knowledge which they relate. Research that merely confirms what is already beyond reasonable doubt makes no contribution to the existing knowledge base. 3.4 Access

No researcher can demand access to an institution, an organisation or to materials. People will be doing you a favour if they agree to help, and will need to know exactly what they will be asked to do, how much time they will be expected to give and what use will be made of the information they provide. They will have to be convinced of your integrity and of the value of your research before they decide whether or not to cooperate. Bell (1993:58) provides a useful checklist of points to consider when negotiating access, including:

Clear official channels by formally requesting permission to carry out your research as soon as you have an agreed project outline. Speak to the people who will be asked to co-operate. Maintain strict ethical standards at all times. Submit the project outline to the principal, senior staff member. Decide what you mean by anonymity and confidentiality. Decide who will receive a copy of the report and/or see drafts of interview transcripts. Inform participants what is to be done with the information they provide. Prepare an outline of intentions and conditions under which the study will be carried out to hand to participants. Be honest about the purpose of the study and about the conditions of the research. Remember that people who agreed to help are doing you a favour. Even when strict protocol is adhered to, things can go wrong. Blaxter et al identify the following strategies to consider if access is denied (1996:144):

approach other individuals. If one person refuses to be interviewed or answer a questionnaire, try approaching another person in a similar position or sharing similar characteristics; approach another institution; approach another individual within the same institution (more risky because of possible communication with the institution); try again later, when people are less busy. Attitudes may have changed, people may have moved on, and you may have more to show to demonstrate the value of your research; change your research strategy. This is probably something you should be prepared to do, and plan for, throughout the research process. It may involve using other, perhaps less sensitive, methods for collecting data, or focusing on a slightly different set of issues, or studying alternative groups or organisations. 3.5 Managing your research project

Constraints operate on any research process. This section discusses time and costs, as well as identifying some others which may well be relevant for the type of research you are planning.

Inevitably, the nature and extent of your data collection will be constrained by your access to various resources – in particular time. Whatever the competing demands for your time and attention, it is important to think about what strategies you need to develop to manage the new demands of your research project in parallel with all the established demands.

A key strategy for managing your time effectively is to be realistic, initially, about the methods you are going to use to collect data and the amount of data needed. One common problem with new researchers is over-ambition. Since it’s likely that you will have a limited timescale to complete and write up your research, it follows that the methods you select will have to be informed by these (and other) considerations. For example, time available will limit the amount of any cross-checking you can undertake, and the size of your research sample.

The costs of research can mount up, so it is advisable to undertake a rough costing of the methods of data collection and analysis that you have considered to make sure they are affordable. The process of costing research activities will be very useful if you are, at any stage of your professional career, ever likely to apply for research funding. For applications for external funding, a detailed costing has to be submitted, and if successful, it is likely that you will have to adhere fairly closely to the original costing submitted.

The costs of your research project could include:

travel costs to your research sites and/or libraries; costs of consumables, such as paper, tapes, batteries, etc.; equipment purchase or hire costs (e.g. word processor, tape recorder, software); book, report and journal purchases; photocopying, printing and binding costs; postage and email/telephone costs. Other constraints

In addition to time and costs, there are bound to be other constraints you need to take into account when designing your research: for example, the willingness of people to be interviewed or observed. If you need to observe meetings or training sessions, you will be limited by the schedule of meetings or training events that will take place during the data-collection phase of your project. If you need to research some aspect of guidance and counselling that requires involvement with schools, colleges or universities, you are likely to be constrained by examination timetables and vacations.

To manage your research project successfully, you will need to anticipate routine constraints affecting the research process. This will help you to develop strategies to cope with these limitations and avoid difficult situations arising in the first place.

3.6 Overcoming obstacles

The process of successful research will, inevitably, involve developing problem-solving techniques. Problems that may arise can range from those relating directly to the research process (for example, the response rate is very low), to problems in other areas in your life (for example, changing your job or falling ill). Blaxter et al (1996: 137) suggest the following ways of coping with difficulties:

remind yourself that the purpose of carrying out research, particularly as a new researcher, may be as much to develop your understanding of the research process and/or the use of particular research methods as to explore substantive issues; remember that it may be just as valid to write up your research in terms of, for example, the problems of gaining access to a particular group, or of getting an adequate response from that group once access has been gained; as part of writing your research report, reflect on your research strategy, explore what went wrong and why and include recommendations for improvement; view research as being about the skills you have learnt and developed on the way. Part of doing research is about appreciating what is involved and where it may be leading you; if you have time and resources, you may choose to redirect your research strategy when you become stuck.

This section will help you understand the broader context of guidance research including consideration of both qualitative and quantitative approaches.

4.1 Introduction

This section examines the two major traditions of research methods: qualitative and quantitative. It discusses the dominant effect that one of these traditions (quantitative research) has had on current careers guidance and counselling practice and considers the value of piloting research.

4.2 Objectives: stage 4

distinguish between quantitative and qualitative research; outline some key issues from current practice which link with research method; describe the main features of qualitative research; describe the main features of quantitative research; pilot your research project. 4.3 Models of Research

The most common way of conceptualising the diversity of approaches to research is to distinguish between quantitative and qualitative models. It is this distinction that will be adopted here, though it should be stressed that this is a rather crude distinction that can be misleading. In reality, much social scientific research combines methods from the two traditions. So how are these two approaches different? Most obviously, quantitative research involves measurement on some numerical basis and usually employs statistical techniques, whereas qualitative research does not (at least to the same degree). Various other features of the research process are also associated with the different traditions. For example, quantitative research favours structured forms of data, which can consist of frequency counts or other types of measurements. In contrast, the data that qualitative researchers typically deal with are verbal descriptions in natural language often collected from an interview or some type of recorded conversation (for example, using audio tapes). They deal more in meanings, experiences and descriptions. This type of data cannot be directly subjected to counting or measuring, though, of course, they can subsequently be presented so that they can be analysed quantitatively.

Other differences have already been identified in 1.4 above. For example, the sequence and relationship of activities involved. A quantitative approach requires that the researcher collects all the data before analysing it. A qualitative approach requires that data collection and analysis are intertwined. One other important difference relates to views about the role of theory. These and other differences will be discussed in more detail later.

Methods of data collection are also varied. Some are clearly associated with quantitative research (for example, the scientific experiment) and other with qualitative research (for example, participant observation). Others are shared by both traditions (for example, questionnaires and interviews) though the precise design of the research instrument and the approach adopted by the researcher are likely to differ. There is a vast literature available on research methods. You will need to spend time reading about different methods and, once you have an idea of your research focus and methods, you will need to spend time researching issues related to different designs (for example, of questionnaires). Whichever approach (or combination of approaches) you choose to adopt for your research project and whatever methods, remember the underlying purpose is to extend knowledge and understanding about some aspect of careers guidance and counselling. As May (1996:3) expresses it more generally, the purpose of all research is:

'to understand and explain social phenomena, to focus attention on particular issues and to challenge conventionally held beliefs about the social and natural worlds'.

4.4 Research Traditions in Guidance and Counselling

Current Practice

The theories which underpin current careers guidance and counselling practice have come mainly from North America. Varied accounts exist which identify the main influences in the development of this body of knowledge (for example, Arthur et al,1989, Brown et al, 1990, Seligman, 1994, Scharf, 1997 and Zunker, 1998,). Despite disagreements about the particular strands of influence, there is agreement that Frank Parsons was the founding father of the vocational guidance movement. A seminal work by Parsons entitled Choosing a Vocation was published posthumously in 1909. His ideas about how people choose jobs came from differential psychology and were initially referred to as the 'talent matching' approach. They later developed into what became known as the 'trait and factor' theory of occupational choice, and were developed by theorists who had a major impact on practice such as John Holland (1966,1973, 1992) and Alec Rodger (1952). Parsons' core concept was that of 'matching'. He suggested that occupational choice occurs when people have achieved:

an accurate understanding of their individual traits (e.g. personal abilities, aptitudes, interests, etc.); a knowledge of jobs and the labour market and then made a rational and objective judgement about the relationship between these two groups of facts. A key assumption is that it is possible to measure both individual talents and the attributes required in particular jobs which can then be matched to achieve a 'good fit'. It is when individuals are in jobs best suited to their abilities, they perform best, and productivity is highest.

This theory of occupational choice has dominated careers guidance and counselling practice for nearly a century, partly because of its practical appeal. It provides careers guidance and counselling practitioners with a clear rationale and framework for practice. Additionally, the underlying philosophy has suited policy makers since it lends itself to the servicing of labour market requirements. Consequently, it has been embraced enthusiastically by policy makers and barely questioned by the majority of practitioners.

The theory contains, however, fatal flaws. Scharf (1997) reminds us that:

There is little research supporting or refuting trait and factor theory itself as a viable theory of career development. Rather, the research that has been done, of which there is a large amount, has related traits and factors to one another or has established the validity and reliability of measurements of traits and factors.' (p26).

There was no viable theoretical alternative during the first half of this century to this 'best fit' theory of occupational choice, and it was not until the 1950's and 1960's that theories originating from other academic disciplines such as sociology, and other branches of psychology like developmental psychology emerged as serious alternatives. Theories which were developed from these academic disciplines emphasised the context in which occupational 'choice' occurred and the importance of the maturation process of individuals, respectively. Since this time, the theories careers guidance practitioners have used to inform their practice have expanded dramatically. Whichever theories actually inform current practice, there is emerging consensus around the inadequacies of these theories. In particular, researchers are questioning the relevance of current theory for particular sectors of society.

Adequacy of Current Practice

There is a growing critique of the current practice of careers guidance and counselling which is based on theory derived from quantitative research methods. For example, Osipow and Littlejohn (1995) discuss serious weaknesses in applying current theory to Minority ethnic groups. They argue that a major problem is the manner in which all current theories use concepts which 'assume cultures that are relatively affluent and have good opportunities for education, upward mobility and family support and encouragement' (p255). Many members of minority ethnic groups, they argue, do not have access to these privileges.

Hackett (1997) identifies several problems in trying to apply current theory to girls and women: 'I am suggesting the need for formal testing of competing models as well as attempts at unification and integration....we also need to incorporate issues of sexism, racism and their interaction, along with considerations of relational orientation, support and barriers into all our developing conceptions of women's career psychology’ (p187).

Savickas (1995) relates current problems with theory to the more fundamental issue of different philosophical origins reflected in the two approaches to research. He identifies inherent tensions which arise from the academic traditions of different theories: 'sharp lines have been drawn on which philosophy of science to choose' (p15). He concludes that 'vocational psychology could benefit simultaneously from refinements forged within the distinct career theories, from advances produced by convergence among career macrotheories and from break-throughs induced by divergence in work-role microtheory' (p29).

Implications for Research Methods

Theories informing current guidance and counselling policy practice have been developed mainly by psychologists operating from scientific positivist paradigms of research using quantitative methods. What, then, are the concerns now being expressed about the limitations of this research method?

Taking just one example of careers guidance and counselling for girls and women, Harmon & Meara (1994) discuss the limitations of experimentally designed empirical inquiry that meets the criterion of internal validity for both policy and practice. They argue that 'those who are interested in career counselling for women seem to be swimming against this tide in an attempt to integrate science and practice' (p362).

Hackett (1997) reviews some of the criticisms made about the existing literature on women's career development which include research methodologies which have been used. In particular, she argues that there is a need to move beyond 'simple correlational designs' (p184) and suggests that qualitative research methods 'are highly appropriate in attempts of this sort to truly understand the experiences of a group that has received insufficient attention' (p185). She discusses the need to triangulate across different data sources using focus groups, diaries, archival documents, or observations, concluding that 'future research on this model will also benefit from the integration of qualitative and quantitative methods' (p186).

Others have also discussed the type of research methods which should be used for future research inquiry. For example, Rainey and Borders (1997) advocate the use of narratives, constructivist methods or other qualitative approaches to examine environmental factors for girls and women (p169). Edwards and Payne (1997) state simply that there is a need 'to embrace ideas from a wider moorland of study than is presently the case' (p537).

Overall, then, there is a growing consensus that scientific research methods from within a positivist paradigm have been found to be wanting in several respects. Knowledge and understanding built up from a particular approach to research needs to be complemented with knowledge and understanding derived from different ways of investigating social phenomenon.

4.5 Quantitative Research

'Quantitative research is concerned with the collection and analysis of data in numeric form. It tends to emphasise relatively large-scale and representative sets of data, and is often........... presented or perceived as being about the gathering of facts.' (Blaxter et al (1996:60).

Quantitative or traditional experimental approaches set out to quantify and measure the contributions of different factors to phenomenon (for example, occupational choice behaviour). It can be useful if you want to compare things, like test scores under different conditions or behaviour under different conditions. However, this approach to research has certain disadvantages for small scale studies. For example, you would need a large enough sample to ensure your data is statistically significant. Additionally, your sample must be representative so that you can be confident of getting the same pattern of results again when you repeat the same procedures on a different population. Only then would you be able to generalise your findings to a wider sample than the one you are testing.

Robson (1993:19) summarises the five sequential steps which are commonly regarded as typifying the 'scientific' or quantitative approach to research. These involve:

Deducing a hypothesis (a testable proposition about the relationship between two or more events or concepts) from theory. Expressing the hypothesis in operational terms (i.e. ones indicating exactly how the variables are to be measured) which propose a relationship between two specific variables. Testing this operational hypothesis. This will involve an experiment or some other form of empirical enquiry. Examining the specific outcome of the enquiry. It will either tend to confirm the theory or indicate the need for its modification. If necessary, modifying the theory in the light of the findings. An attempt is then made to verify the revised theory by going back to the first step and repeating the whole cycle. So, adopting a quantitative approach to research involves searching for causal relationships which are conceptualised in terms of the interaction of 'variables', some of which (independent variables) are seen as the cause of other (dependent variables). It will invariably involve designing and using standardized research instruments (for example, tests, questionnaires, attitude scales) so that numerical data can be collected which will then be manipulated using statistical techniques.

Some suitable data for this research method already exists in the form of published or unpublished statistics. Often, though, researchers have to produce the data they need for analysis themselves. For example, from a laboratory experiment or from psychometric or personality tests which have been administered to relatively large groups of participants. As previously indicated, if responses to unstructured questionnaires can be coded and then counted in some way, this may also be a source of quantitative data.

4.6 Qualitative research

'Qualitative research is concerned with collecting and analysing information in as many forms, chiefly non-numeric, as possible. It tends to focus on exploring, in as much detail as possible, smaller numbers of instances or examples which are seen as being interesting or illuminating, and aims to achieve 'depth' rather than 'breadth'.' (Blaxter et al.,1996:60).

Qualitative research is concerned with life as it is lived, things as they happen or situations as they are constructed in the day-to-day course of events. Qualitative researchers seek lived experiences in real situations, try not to disturb the scene and to be unobtrusive in their methods. This is to ensure that data and analysis will closely reflect what is happening. Qualitative researchers are also interested in 'natural' experiments. For example, when ordinary processes are disrupted, basic rules and norms are thrown into relief. Usually, these types of rules and norms are tacit and understood, perhaps subconsciously, by people in a particular situation. A recent example relevant to guidance in the UK is the recent is the introduction of Personnel Advisers to work with disaffected young people in the Connexions service. Reformed organisational structures, different relations with schools, colleges, Youth Services, Social Services, Youth Offending Teams, and Educational Welfare Officers, different working practices with clients (e.g. over a two year period) are all examples of natural experiments which would be legitimate areas for research inquiry using a qualitative approach.

When studying in this way, it is important not to start off with too many preconceptions about what you might find. It is necessary to maintain an openness, not pre-judging issues and not even settling for the first (even second) impressions formed. Guesses might be made, tested along the way and abandoned, changed or revised in the light of later discoveries. This mode of study will have implications for the relationship fostered with the subjects in the research (refer to 'ethics' in 1.6, and 'access' in 3.4).

Six characteristics of qualitative research are identified by Blaxter et al (1996:61):

Events can be understood adequately only if they are seen in context. A qualitative researcher therefore immerses her/himself in the setting. The contexts of inquiry are not contrived; they are natural; nothing is predefined or taken for granted. Qualitative researchers want those who are studied to speak for themselves, to provide their perspectives in words and other actions. Therefore qualitative research is an interactive process in which the persons studied teach the researcher about their lives. Qualitative researchers attend to the experience as a whole, not as separate variables. The aim of qualitative research is to understand experience as unified. Qualitative methods are appropriate to the above statements. There is no one general method. For many qualitative researchers, the process entails appraisal about what was studied. This approach to research, therefore, involves considered selection and interpretation. It is therefore important to make the choice of focus for study principled and clear as well as being careful to make only reasonable claims in the research report or dissertation. In addition to making the basis of selections and methods clear, the researcher needs to include some biographical information because s/he cannot be regarded as an objective recorder of absolute truths, but rather a participant in the research process.

4.7 Piloting

Piloting is the process whereby you try out the research techniques and methods you have in mind to see how well they work in practice. This enables you modify your plans before you commit too much time to one procedure. If you have spent time thinking about and planning your research project, you may be tempted to believe that you are clear about what you are doing. However, the value of piloting research cannot be overestimated. Things rarely work out the way you expect - respondents can answer a questionnaire or interpret an interview question in ways that you can never anticipate! Taking time to run a pilot can save you time, frustration and even anguish in the end.

In a small scale study, even an informal pilot can prove invaluable. Try out a couple of interviews, get some friends to fill out your questionnaires, go and observe some organisational activities - or whatever else you have in mind for the data collection phase of your project. You will almost certainly gain from doing this, even if it is a more accurate idea of the time collecting data can take. If you do this early enough, you can change your strategy before it's too late!

This section provides guidelines to help structure a research report.

When writing the main body of your research report, the following points may help with the structure:

Introduction:

Use your introduction to: set the context of your study (including information about your own role); explain why you approached your study in the way you did; what you hope to demonstrate by your results; and justify your approach with reasoned argument based on relevant theory and research evidence.

Literature Review:

The literature review should employ a critical, analytical approach with an understanding of (relevant) competing perspectives. It must go beyond a descriptive account and should be logically and coherently organised. Your review should demonstrate a detailed knowledge of original sources and the field together with your understanding of main theoretical and methodological issues. Do not be afraid to add your own ideas, especially if your study challenges established wisdom.

Research Method:

The purpose of this section is to enable your reader to understand exactly what you did as part of the research process, together with the results and your interpretation of their meaning. It should include sufficient details to enable the reader to understand:

the overall design of the study; details of participants (e.g. age, gender, experience, occupational role, etc.); research instruments used; procedures used in the study. This section should also contain a description of the overall purpose, summary of content, structure and justification of why this particular approach was used. If an instrument (e.g. questionnaire) was designed especially for your study, you should also include details of its piloting and include the final version as an appendix. Issues of validity and reliability should also be addressed.

Your results should be presented in a form that enables the reader to understand exactly what your data consists of and sources. It should also identify any trends that have emerged and (where relevant) statistical techniques used as well as the results of these analyses. Finally, this section should address the way(s) in which the data illuminate your research question(s).

It is likely that the results section will be the most difficult to write. If your have undertaken a qualitative study or have huge quantities of data, then you may need to include some discussion and not just description in this section. You should not include extensive ‘raw’ data and the results must be organised, summarised and selective. Where appropriate, tables or diagrams should be used to summarise your results. It may not even be possible to include all the results, as this may overwhelm your reader and obscure your main findings.

Discussion:

The purpose of this section is to:

present your interpretation of your results; justify your interpretation by anticipating counter arguments; and urge caution in accepting your interpretation where there are defects in the design and execution of the study. Few applied studies can be perfect, so demonstrate your awareness of flaws and weaknesses in your work and your understanding of how you might improve on your research. It is also important to comment on any practical difficulties you may have encountered, especially those out of your control. In summary, adopt a ‘reflective practitioner’ approach in reviewing the research process as a whole.

Your discussion should also highlight links between your own research and the literature review and evaluate your study's contribution to professional guidance practice.

Conclusion:

Your conclusion should present a summary of what you have achieved in your research project, without containing any new material. It should also suggest the implications of the findings, identify future related research and emphasise issues which require further research or investigation.

The 'Harvard Reference Style' is one system of referencing sources used internationally by scholars and researchers. At Coventry University the Centre for Academic Writing have produced a website and downloadable guide to this system which may be of interest. It includes sections on referencing new technology sources such as websites and emails. The link address is: http://home.ched.coventry.ac.uk/caw/harvard/index.htm

• Graduate Jobs
• Careers Advice
• Research skills

Updated on 04 June 2020

Research skills are in demand. This guide explains what research skills are and how you can prove you've got them!

What are research skills?

In a nutshell, research skills help us find answers to questions.

Research skills are the ability to search for, find, collect, analyse, interpret and evaluate information that is relevant to the subject being studied.

Research shapes the future, it teaches us new things and helps us adapt and evolve. Without research, we wouldn't have cars, smartphones or the internet (or this website for that matter!)

Everyone is a researcher

We all research, even if we don't know it.

The internet is a huge part of our lives. Using search engines (like Google) is a way of researching. Whether you're finding cheap flights or a top restaurant, it's all research!

Why are research skills important?

Employers love research skills. Research is an important part of business because it helps companies:

• Report writing
• Keep an eye on their competitors
• Develop new products
• Identify what customers want
• Get better at what they do
• Keep up with changing technologies

Research skills show companies you're able to suggest new ideas and help the business adapt to the ever changing world we live in.

Research saves money

Launching a new product is expensive. Research helps companies find out if anyone will buy it.

Launching a product without research is risky. There might not be a demand for it. The money spent on launch, marketing and production could've been saved if the company did some research.

How can you gain research skills?

You can research using tools and methods like:

• The internet
• Experiments

How can you demonstrate your research skills?

As a graduate, It's likely you've done a lot of researching! For example during:

• Your dissertation
• Assignments
• Group projects

In interviews

Talk about what you researched, how you did it and what you found. Explaining research you've done as part of a group will also demonstrate your teamwork skills #2birds1stone.

Using the S.M.A.R.T framework is helpful way to structure your answer. You can read more about S.M.A.R.T in our planning and organising guide.

Show what you know

Demonstrate your research skills by sharing what you know about the industry or company you want to work for. The more you know, the more likely you are to impress.

Add your research skills to your CV

Especially if you're applying for a job that requires research skills.

In many cases, your CV is your chance to make a first impression. Your CV will help employers check you've got the right skills. If they can see you've got them, it's likely you'll get to the next stage.

Examples of research skills

Here's a list of some research skills for your CV:

• Data collection
• Analysis of information from different sources
• Finding information off the internet
• Critical thinking
• Planning and scheduling
• Interviewing
• Critical analysis

Which careers require research skills?

Research plays a key role in several industries. For example:

• Consumer goods

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Become a Researcher – 5 Skills You Need

I have cherry-picked five skills you need to become a researcher for those of us who are aspiring to step into the field of academic research. Each field such as arts or science has its own specialist skills. In addition, there are a handful of key skills which are crucial to success .

Project Management

Every research project requires a degree of project management. This is a term you have probably heard being used. But what exactly do we mean by project management?

Project management means high-quality planning. You make a step by step plan on how you intend to reach your final objective. You set achievable aims, realistic milestones and identify other necessary resources (manpower and finances).

As a researcher, you need to complete thorough research to receive external funding and to get your project off the ground. If you are currently working on someone else’s project, make sure that you observe, ask questions and learn as much as possible.

Handling Budgets

Another key skill is learning how to effectively manage a budget. It might be a task which you have not done in any great depth for your PhD. If so, do gain some further experience of handling budgets. You will need this skill in order to lead your own research project.

As an academic, you might have administrative support to help you hold the purse strings whilst the final decision-making and responsibility will come down to you. As with your own domestic budget, keeping a regular check on monies in and out is vital. Do not bury your head in the sand if things appear to be going wrong. Make sure you match your research goals to the money you have been awarded. Do not overcommit yourself in the hiring of other staff or running collaborative workshops (both of which can cost a lot of money). Remember that the money is there to be spent so do not hoard it! And finally, make sure you keep good records of your income and spending. Your university, funding body or the taxman may want to see your records at any time.

Team Leading/Managing

Working successfully with others could be difficult in the academic world (we are used to working with a large degree of autonomy). However, a research project often requires the support of others: colleagues at your institution and elsewhere, administrative staff and at times people in the private sector.

If you are managing the project, you need to know two main things: how to get the best out of each of your workers and how to make their working experience positive. Asking each person to play their part is vital, as well as listening to them, asking for their feedback on decisions or exploring any issues if they are not happy. Being able to assess each colleague’s needs and vulnerabilities is essential if you want to successfully lead them as a team.

Handling Data

Depending on your field, the results you gain from your project could include lab experiments, statistical evidence, interview materials or research in an archive. Whatever results you get, you need to be able to successfully handle large amounts of data. Without effective data skills, you will never get to the exciting stage of analysing your results.

So how do you manage data successfully? By being focused, structured and planning ahead. Start with organising an electronic or paper-based data storage system. Design and set up your database. Organise storage for hard copies of raw materials and catalogue them clearly. Make sure you keep records of who is collecting what as you go along. You must not lose any work because of incompetence or disorganisation. When it comes to writing up your research later, you will have all the answers you need at your fingertips.

Closely linked with data management is the necessity of developing IT skills. Although you might consider yourself a confident user of IT, you will need to learn new packages, online platforms and programmes all the time. Take every opportunity to refresh and update your IT skills.

Take a few minutes to think about any data collection or storage packages that could help your research. Are there any IT methods that could greatly support your work? What about analytical tools for working with large amounts of data? Could you build your own website? Perhaps you need something bespoke and experimental for your project that you could help to design. A new bibliographical tool could be invaluable to help you write up your research. Developing new IT skills could help you to present your work in a more innovative, convincing and refreshing way. IT never stands still.

The pace of technological change is unlikely to slow down any time soon. If you would like to work as an academic researcher, you will need to keep on developing your skills.

Take a close look at the above five skills you need to become a researcher and select one area which you would like to build on in the next few weeks. Best of luck!

For further skills tips see:

Gaining New Skills And Knowledge During Lockdown

Balancing Academic Research and Teaching

Changes to Academic Research

Research in Academic Careers

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Henrietta Nagy

Henrietta Nagy is a seasoned portfolio worker with over 10 years’ experience in the UK education sector. Henrietta writes educational content, designs academic courses, delivers university lectures, mentors entrepreneurs, and provides career development coaching. One of Henrietta's recent organisational clients is the Oxford University where she has facilitated over 100 hours of learning events. With 9 years of higher education studies internationally (including an MBA), she has worked with CEOs, academics, scholars, managers, women entrepreneurs, academic administrators and other consultants.

Reader Interactions

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30th September 2019 at 1:33 pm

Hi Henrietta,

thank you for the article, it has actually helped me to realise a weakness in me. Do you do carrier-advise?

23rd August 2020 at 9:00 pm

Hi Henrietta, This article has helped me to realise some of my strengths and weaknesses.

Do you offer careers advice?

7th September 2020 at 1:06 pm

Hi Henrietta, Thanks for this article. I have a better understanding now. Can you be my mentor? I have a Master’s degree and want to pursue a PhD. My goal in life is to be a Professor and I need a mentor. Though, I’m not in any University currently but I believe in taking a step. Awaiting your response.

27th February 2022 at 8:14 am

I can be your mentor.give me your facebook handle

31st March 2021 at 9:32 am

Hi Henrrietta Thank you for your article. I want to pursue a new career path in research i have non of those skills . Would you be my mentor

15th April 2022 at 3:33 pm

I want to become a researcher. Need help.

21st June 2022 at 5:50 pm

I love to learn Spanish. Great content.

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Your Career Doesn’t Need to Have a Purpose

• Stephen Friedman

Focus on making your work meaningful instead.

Outside of popular anecdotes and social media stories, there is little evidence that a single, defined “purpose” is necessary for a rewarding career. In fact, it can be quite the opposite. It’s surprisingly common to go after what we think is our purpose only to discover that we hate it. Instead, shift your focus from “purpose” to “meaning.” Ask yourself:

• What do I like, prefer, or enjoy doing? Let go of yearning for a career purpose. Dial it back and consider what you liked about any of your previous jobs, school projects or other ways you spend your time. Perhaps you liked helping your peers organize their work or enjoyed researching sources for group projects. Or maybe you liked working on a team than alone. Use that as a starting point. 
• What am I good at? Early on in your career, you will have many bourgeoning skills. These are skills that you are good at now and can get even better at with more practice. Think about stuff you are progressively getting better at. Getting to use and improve skills that you’re already good will energize you, and provide you with a feeling of recognition and usefulness.
• Would this role provide growth and learning that I can use later? Research shows that what scholars call “ability development” (i.e. getting better at what you do) brings with it greater happiness, satisfaction, and meaning.

As an organizational studies professor at the Schulich School of Business in Toronto, Canada, I get the opportunity to help my students with various aspects of their career development. In the process, I’ve noticed two common threads. First, most of my students are not only eager to enter the world of work, but also to be excellent at what they do. Second, they want their post-graduation job to be loaded with purpose .

• Stephen Friedman is an Adjunct Professor of Organizational Studies and a Senior Faculty of Executive Education, at The Schulich School of Business, York University in Toronto. He teaches and writes about leadership development, organizational behavior, complexity science, career development, human resource management, workplace inclusion, and mental health.

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10 facts about today’s college graduates

Having a bachelor’s degree remains an important advantage in many sectors of the U.S. labor market. College graduates generally out-earn those who have not attended college, and they are more likely to be employed in the first place. At the same time, many Americans say they cannot afford to get a four-year degree – or that they just don’t want to.

Here are key facts about American college graduates.

This Pew Research Center analysis about U.S. college graduates relies on data from sources including the Census Bureau, the Bureau of Labor Statistics, the National Center for Education Statistics, the National Student Clearinghouse and the Federal Reserve Bank, as well as surveys conducted by the Center.

Everyone who took the Pew Research Center surveys cited is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about  the ATP’s methodology .

Nearly four-in-ten Americans ages 25 and older have a bachelor’s degree, a share that has grown over the last decade. As of 2021, 37.9% of adults in this age group held a bachelor’s degree, including 14.3% who also obtained a graduate or professional degree, according to data from the Census Bureau’s Current Population Survey. That share is up 7.5 percentage points from 30.4% in 2011.

An additional 10.5% had an associate degree in 2021. About four-in-ten Americans ages 25 and older had a high school diploma with no further education (25.3%) or completed some college but didn’t have a degree (14.9%).

In a reversal, women are now more likely than men to graduate from college, according to the Current Population Survey . In 2021, 39% of women ages 25 and older had a bachelor’s degree or more education, compared with 37% of men in the same age range. The gap in college completion is even wider among adults ages 25 to 34: 46% of women in this age group have at least a bachelor’s degree, compared with 36% of men.

In an October 2021 Pew Research Center survey of Americans without a degree, 34% of men said a major reason why they have not received a four-year college degree is that they just didn’t want to. Only one-in-four women said the same. Men were also more likely to say a major reason they didn’t have a four-year degree is that they didn’t need more education for the job or career they wanted (26% of men said this vs. 20% of women).

Women (44%) were more likely than men (39%) to say not being able to afford college was a major reason they don’t have a bachelor’s degree. Men and women were about equally likely to say a major impediment was needing to work to help support their family.

There are racial and ethnic differences in college graduation patterns, as well as in the reasons for not completing a degree. Among adults ages 25 and older, 61% of Asian Americans have a bachelor’s degree or more education, along with 42% of White adults, 28% of Black adults and 21% of Hispanic adults, according to 2021 Current Population Survey data. The share of bachelor’s degree holders in each group has increased since 2010. That year, 52% of Asian Americans had a four-year degree or more, compared with a third of White adults, 20% of Black adults and 14% of Hispanic adults.

The October 2021 Center survey found that among adults without a bachelor’s degree, Hispanic adults (52%) were more likely than those who are White (39%) or Black (41%) to say a major reason they didn’t graduate from a four-year college is that they couldn’t afford it. Hispanic and Black adults were more likely than their White counterparts to say needing to work to support their family was a major reason.

While a third of White adults said not wanting to go to school was a major reason they didn’t complete a four-year degree, smaller shares of Black (22%) and Hispanic (23%) adults said the same. White adults were also more likely to cite not needing more education for the job or career they wanted. (There weren’t enough Asian adults without a bachelor’s degree in the sample to analyze separately.)

Only 62% of students who start a degree or certificate program finish their program within six years, according to the most recent data from the  National Student Clearinghouse , a nonprofit verification and research organization that tracked first-time college students who enrolled in fall 2015 with the intent of pursuing a degree or certificate. The degree completion rate for this group was highest among students who started at four-year, private, nonprofit schools (78.3%), and lowest among those who started at two-year public institutions (42.2%).

Business is the most commonly held bachelor’s degree, followed by health professions.  According to the  National Center for Education Statistics , about a fifth (19%) of the roughly 2 million bachelor’s degrees conferred in 2019-20 were in business. Health professions and related programs were the second most-popular field, making up 12.6% of degrees conferred that year. Business has been the single most common major since 1980-81; before that, education led the way.

The  least  common bachelor’s degrees in 2019-20 were in military technologies and applied sciences (1,156 degrees conferred in 2019-20), library science (118), and precision production (39).

There is a growing earnings gap between young college graduates and their counterparts without degrees. In 2021, full-time workers ages 22 to 27 who held a bachelor’s degree, but no further education, made a median annual wage of $52,000, compared with $30,000 for full-time workers of the same age with a high school diploma and no degree, according to data from the Bureau of Labor Statistics. This gap has widened over time. Young bachelor’s degree holders earned a median annual wage of $48,481 in 1990, compared with $35,257 for full-time workers ages 22 to 27 with a high school diploma.

The unemployment rate is lower for college graduates than for workers without a bachelor’s degree, and that gap widened as a result of the coronavirus pandemic. In February 2020, just before the COVID-19 outbreak began in the U.S., only 1.9% of college graduates ages 25 and older were unemployed, compared with 3.1% of workers who completed some college but not a four-year degree, and 3.7% of workers with only a high school diploma. By June 2020, after the pandemic hit, 6.8% of college grads, 10.8% of workers with some college, and 12.2% of high school grads were unemployed.

By March 2022, the unemployment rate had nearly returned to pre-pandemic levels for college graduates (2%) while dropping to 3% among those with some college education but no four-year degree, and 4% among those with only a high school diploma.

Recent college graduates are more likely than graduates overall to be underemployed – that is, working in jobs that typically do not require a college degree, according to an analysis of Census Bureau and BLS data by the Federal Reserve Bank of New York . As of December 2021, 41% of college graduates ages 22 to 27 were underemployed, compared with 34% among all college graduates. The underemployment rates for recent college grads rose in 2020 as the COVID-19 outbreak strained the job market, but have since returned to pre-pandemic levels.

As of the end of 2021, only 34% of underemployed graduates ages 22 to 27 worked what the Fed defines as “good non-college jobs” – those paying at least $45,000 a year – down from around half in the 1990s. The share of underemployed graduates ages 22 to 27 in low-wage jobs – those earning less than $25,000 annually – rose from about 9% in 1990 to 11% last year.

When it comes to income and wealth accumulation, first-generation college graduates lag substantially behind those with college-educated parents, according to a May 2021 Pew Research Center analysis . Households headed by a first-generation college graduate – that is, someone who has completed at least a bachelor’s degree but does not have a parent with a college degree – had a median annual income of $99,600 in 2019, compared with $135,800 for households headed by those with at least one parent who graduated from college. The median wealth of households headed by first-generation college graduates ($152,000) also trailed that of households headed by someone with a parent who graduated from college ($244,500). The higher household income of the latter facilitates saving and wealth accumulation.

The gap also reflects differences in how individuals finance their education. Second-generation college graduates tend to come from  more affluent families , while first-generation college graduates are more likely to incur education debt than those with a college-educated parent.

Most Americans with college degrees see value in their experience. In the Center’s October 2021 survey , majorities of graduates said their college education was extremely or very useful when it came to helping them grow personally and intellectually (79%), opening doors to job opportunities (70%) and developing specific skills and knowledge that could be used in the workplace (65%).

Younger college graduates were less likely than older ones to see value in their college education. For example, only a third of college graduates younger than 50 said their college experience was extremely useful in helping them develop skills and knowledge that could be used in the workplace. Among college graduates ages 50 and older, 45% said this.

• Higher Education

Katherine Schaeffer is a research analyst at Pew Research Center

Most Americans think U.S. K-12 STEM education isn’t above average, but test results paint a mixed picture

About 1 in 4 u.s. teachers say their school went into a gun-related lockdown in the last school year, about half of americans say public k-12 education is going in the wrong direction, what public k-12 teachers want americans to know about teaching, what’s it like to be a teacher in america today, most popular.

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This MSc by Research programme will allow you to develop the skills and knowledge you need to prepare for a career in cancer research, and is one of only a few MSc by Research Oncology courses available in the UK.

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Cancer is a major cause of mortality and morbidity worldwide. There are around 363,000 new cancer cases in the UK every year, which is more than 990 every day (Cancer Research UK, 2019). Understanding the mechanisms of tumour formation and developing new therapies are therefore high priority areas, not only due to the human cost of this disease, but also due to the high economic burden on the NHS. This MSc by Research programme will allow you to develop the skills and knowledge you need to prepare for a career in cancer research, and is one of only a few MSc by Research Oncology courses available in the UK.

Why study Oncology MSc by Research at Middlesex University?

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Meta-thematic synthesis of research on early childhood coding education: A comprehensive review

• Open access
• Published: 24 April 2024

Cite this article

You have full access to this open access article

• Mehmet Başaran   ORCID: orcid.org/0000-0003-1871-520X 1 ,
• Şermin Metin   ORCID: orcid.org/0000-0001-5984-6359 2 &
• Ömer Faruk Vural 3  

The growing significance of coding in 21st-century early childhood education extends beyond technical proficiency, encompassing cognitive development, problem-solving, and creativity. Coding is being integrated globally into educational curricula to prepare students for the digital era. This research examines coding’s potential impact on cognitive and socio-emotional development and emphasizes the need for evidence-based analysis. A meta-thematic analysis synthesizes qualitative data from various studies in a study on coding’s effects on preschool children’s cognitive and socio-emotional development. It focuses on two themes: cognitive contributions and socio-emotional contributions. Thirteen suitable studies were identified from 942 visualized using the PRISMA flow diagram. Coding education enhances cognitive and socio-emotional skills in preschoolers, with implications for curriculum integration. In summary, coding’s holistic benefits in early childhood education are explored, and a meta-thematic analysis investigates its influence on cognitive and socio-emotional domains in preschoolers, emphasizing the need for rigorous evidence-based research.

Avoid common mistakes on your manuscript.

1 Introduction

Technological developments require new generations to acquire specific skills (P21). As technology has become an integral part of our lives, understanding basic computing structures and applications has become essential knowledge required in the 21st century (Czerkawski, 2015 , October). Therefore, it is widely recognized that digital literacy is essential in today’s information society (Barendsen & Stoker, 2013 ). Beyond digital literacy, coding, which refers to using languages that enable computing, is increasingly recognized as a new literacy (Bers, 2020 ; Burke et al., 2016 ; Vee, 2013 ).

When Papert ( 1980 ) developed LOGO, the first programming language to support children’s mathematical skills, he firmly believed that it influenced children’s thinking and led them to think, build, and design in new ways (Papert, 1980 , 2000 , 2005 ). Interest in Papert’s views, which draw attention to the basic concepts of computer science, has increased. This interest has led to the need to enable individuals to take an active and creative role in the use of new cognitive skills and technologies, such as code literacy, and the promotion of programming skills in the early years as essential educational support (Muñoz-Repiso & González, 2019 ). Lin and Weintrop ( 2021 ) stated that computing and the technologies it enables are reshaping the world, and they emphasized that every aspect of our lives is influenced by technology, from how we work and learn to how we play and socialize. Given this increasing presence in our lives, providing opportunities and tools to help people understand how technologies work and train them to control them is becoming an increasing focus of computer education efforts.

Coding is being promoted as a new literacy for all students at all levels of education, including very young children, and is seen as a necessity of the 21st century (Bers, 2019 ; Lye & Koh, 2014 ). For this reason, in recent years, efforts to teach coding and computational thinking, the basic concepts of computer science, in early years and to integrate them into educational processes have increased. These efforts have also accelerated classroom practices and research in this field. However, the studies focus on children’s coding and computational thinking skills (Macrides et al., 2022 ; Papadakis et al., 2016 ; Popat & Starkey, 2019 ). However, Papert ( 1980 ) stated that children’s building using technology and writing code is a new way of thinking for children and that children develop many skills while writing code. For this reason, it is necessary to examine and support the effects of coding on children’s developmental areas in preschool.

Coding is defined as an essential 21st-century skill and literacy that affects all areas of life (Bers et al., 2019 ; McLennan, 2018 ; Monteiro et al., 2021 ; Vee, 2013 ), which is defined as the process of writing the correct syntaxes in a ruleful and sequential manner using command sets and developing applications in order to solve problems, provide human-computer interaction, and enable computers to perform a specific task (Bers et al., 2019 ; Demirer & Sak, 2016 ; Fesakis & Serafeim, 2009 ; Kalelioğlu et al., 2016; Li et al., 2020; McLennan, 2018 ; Vorderman, 2019 ; Wing, 2006 ). Coding is the process of developing systematic ways to solve problems by creating algorithms, which are a set of instructions used to describe each step to perform a specific task or solve a problem (Campell & Walsh, 2017; Ching et al., 2018 ; Lee & Junoh, 2019 ; Lee & Björklund Larsen, 2019 ; McLennan, 2017 ; Vorderman, 2017). The thinking style in coding is seen as the process of numerical thinking, solving problems using algorithms and developing a logical approach, analyzing and organizing data, dividing problems into small and manageable parts, transforming them into specific algorithms, and transforming and organizing them into programming languages (Arabacıoğlu et al., 2007 ; Bers et al., 2019 ; Futschek, 2006 ; Futschek & Moschitz, 2011 ; Gibson, 2012 ; Li et al., 2020; Sullivan et al., 2017 ; Van-Roy & Haridi ( 2004 ).

2.1 Coding in preschool

Coding, a new form of literacy, has become a fundamental tool for reading and interpreting data and communicating with others in a digital society, providing an opportunity to connect children with technology. Thus, coding goes beyond algorithmic thinking and offers children a symbolic language to read and write (Bers, 2018a , 2018b; Mclennan, 2017 ). Despite different conceptual approaches, coding, which is seen not only as a set of technical skills but also as a social and cultural issue involving different fields of knowledge, basically involves thinking like a computer scientist (Grover & Pea, 2018 ), creating and collaborating (Kafai & Burke, 2014 ), and using computing languages, which are especially important for future generations (Monteiro et al., 2021 ). Bers ( 2019 ) argues that, similar to natural languages, children should be introduced to and familiarized with these new artificial languages from an early age. Monteiro et al. ( 2021 ) emphasize that this artificial language should develop children’s perceptual, expressive, and creative skills and lay a strong foundation for developing critical and functional competencies. They also cite understanding “artificial languages” used to create digital structures and transformations as a fundamental skill. In this context, Rushkoff ( 2010 ) states that being able to use the language of computers is emerging as an inevitable skill that allows us to participate fully and effectively in the digital reality that surrounds us. González ( 2015 ) and Bers ( 2019 ) state that individuals will join the new world as code literate when they can read and write in the language of computers and other machines and think numerically.

The literature emphasizes that coding as literacy in preschool education enables the development of personal and social skills that enable children to express, share, and create using computer science languages, ways of thinking, and creativity (Bers, 2020 ; Grover & Pea, 2018 ; Kafai & Burke, 2014 ; Monteiro et al., 2021 ; Resnick & Rusk, 2020 ; Vee, 2013 ). Coding is increasingly recognized as a new literacy that should be encouraged at the right age (Monteiro et al., 2021 ). In recent years, countries and scholars have emphasized the importance and necessity for children to develop the fundamental understandings, skills, and thinking approaches emerging in computer science, such as coding, programming, and computational thinking (García-Valcárcel et al., 2017; Liu et al., 2017 ; Webb et al., 2017 ; Wilson et al., 2010 ). Education stakeholders have begun to emphasize that coding, like mathematics and literacy, is essential for everyone. On January 17, 2018, the European Commission presented a new “Digital Education Action Plan” for Europe to help educational institutions and education systems better adapt individuals to live and work in an era of rapid digital change (Bocconi et al., 2018 ; Webb et al., 2017 ; Wilson et al., 2010 ). The European Commission has also taken an active role in this regard and started to promote coding as today’s literacy (Moreno-León et al., 2015 ).

When the studies on coding skills are examined, it is emphasized that coding provides children with an essential skill necessary for participation in the digital society and contributes to developing all children into computational participants (Kafai & Burke ( 2014 ). In addition, while coding develops children’s critical and creative thinking skills, it also supports their computational competencies (Grover & Pea, 2013 ). The coding process develops problem-solving, reasoning, acquisition of mathematical concepts, meta-cognitive skills (Akyol-Altun, 2018 ; Baytak & Land, 2011 ; Clements & Nastasi, 1999; Çiftçi & Bildiren, 2019; Fessakis et al., 2013 ). (Israel et al., 2015 ; Lai & Yang (2011) Lambert & Guiffre, 2009 ; Sengupta et al., 2013 ); creative thinking skills (Kim, Chunk, & Yu (2013). As Papert ( 1980 ), one of the pioneers of computer science education, emphasized, coding can be generalized for children’s lifelong learning and development, giving them a valuable intellectual structure. In the last decade, numerous research and policy initiatives have focused on the conceptual and technical aspects of introducing coding to young children and the cognitive and social aspects underlying this trend (Monteiro et al.)

Studies on coding in early childhood show that intensive efforts are being made to teach coding skills to children in their early years. It is seen that there have been significant developments in areas such as how to teach coding, instructional approaches, and the assessment of these skills. However, it is necessary to reveal how children and educators conceptualize coding in early childhood and their views on its contribution to development.

When studies on coding skills are examined, coding provides a fundamental skill necessary for participation in the digital society and significantly contributes to children’s developmental areas. According to Papert ( 1980 ), one of the pioneers of computer science education, coding can be generalized for children’s lifelong learning and development. It can equip them with a valuable intellectual structure. In the last decade, numerous research and policy initiatives have focused on the conceptual and technical aspects of introducing coding to young children and the cognitive and social aspects underlying this trend (Monteiro et al.).

2.2 The effect of coding on development

Many countries have incorporated coding education into school curricula (Heintz et al., 2016 ; Hsu, 2019 ). The United States, 16 European countries (Austria, Bulgaria, Czech Republic, Denmark, Estonia, France, Hungary, Ireland, Israel, Lithuania, Malta, Malta, Spain, Poland, Portugal, Slovakia, and the United Kingdom), as well as New Zealand, Australia, Singapore, and Nordic countries have integrated coding into the curriculum at the national, regional, or local level (Bers 2018b; Bocconi et al., 2018 ; Digital News Asia, 2015 ; European Schoolnet, 2015 ). This effort has made coding a new focus of instructional processes starting from early childhood (Bers, 2018a , 2018b; Barron et al., 2011 ; Bers, 2018; CSTA, 2020 ; Grover & Pea, 2013 ; ISTE, 2019 ; NAEYC, 2012 ; US Department of Education, 2010 ; K-12 CSframework, https://k12cs.org/ ).

In recent years, the widespread use of innovative coding platforms, especially screenless programmable robots, has made it possible to integrate coding into early childhood education (Su et al., 2023 ), but classroom applications have not gained momentum. However, Macrides et al. ( 2022 ) and Papadakis et al. ( 2016 ) revealed that these studies were primarily aimed at supporting coding and IS skills. Popat and Starkey ( 2019 ) stated that the revival of coding in the school curriculum promises to prepare students for the future beyond just learning to code. In their review, Popat and Starkey ( 2019 ) found that various other educational outcomes, such as problem-solving, critical thinking, social skills, self-management, and academic skills, can also be learned through teaching coding.

2.3 Effects on cognitive development

There is still a limited understanding of the effects of learning to code on the cognitive development of young children. Although more studies are needed in this area (Relkin et al., 2021 ), studies prove the positive effects of coding on children’s cognitive attitudes, knowledge, and skills (Bers et al., 2014 ; Çiftci & Bildiren, 2020 ; Sullivan & Bers, 2016 ). Coding contributes to developing these skills involving analysis, problem-solving, concept development, transforming problems into specific algorithms and programming languages (García- Peñalvo et al., 2016 ), and spatial reasoning and logic (NAEYC, 2012 ). García- Peñalvo et al. (2016) argued that since children develop their thinking skills through language, learning to use a programming language involving logical sequencing, abstraction, and problem-solving also supports their analytical thinking skills. In a rapidly changing digital society, coding is thought to be useful for children to develop computational thinking skills (Bers et al., 2014 ; Chou, 2020 ), mathematical thinking (Goldenberg & Carter, 2021 ), problem-solving, critical thinking, and higher order thinking (Ackermann, 2001 ; Bers et al., 2002 ; Bers, 2010 ; Bers & Horn, 2010 ; Clements & Gullo, 1984 ; Clements & Meredith, 1993 ; Kazakoff & Bers, 2012 ; Lee et al., 2013 ; Popat & Starkey, 2019 ; Portelance et al., 2016 ; Strawhacker et al., 2015 ).

Coding helps develop cognitive abilities such as systematic thinking, problem-solving, relationships between events, and creative thinking (Fesakis & Serafeim, 2009 ). For this reason, studies are showing that coding practices contribute significantly to children’s cognitive development (Grover & Pea, 2013 ; Kazakoff & Bers, 2012 ; Kazakoff et al., 2013 ; Papadakis et al., 2016 ). Recent studies on this subject have examined cognitive development (Flannery et al., 2013), sequencing skills (Caballero-Gonzalez et al., 2019; Kazakoff et al., 2013 ; Kazakoff & Bers, 2014 ), problem-solving skills (Akyol-Altun, 2018 ; Bers et al., 2014 ; Fessakis et al., 2013 ; Koç, 2019; Saxena et al., 2020 ), executive functions (Di Lieto et al., 2017 ), creativity (Flannery & Bers, 2013; Resnick, 2006 ; Siper-Kabadayı, 2019 ; Sullivan & Bers, 2017, 2019 ; Wang et al., 2011 ), and computational thinking (Batı, 2022; Bers et al., 2014 ; Bers et al., 2019 ; Caballero-Gonzalez et al., 2019; Kalogiannakis & Papadakis, 2017 ; Kazakoff et al., 2013 ; Papadakis et al., 2016 ), and visuospatial skills (Bers et al., 2014 ; Flannery et al., 2013).

2.4 Effect on social-emotional development

Bers ( 2020 ), who sees coding as another language and a new literacy and presents its general framework, refers to coding as “expressive symbolic systems” and “computational thinking tools.” However, she emphasizes that focusing only on information processing ignores the symbolic language aspect of coding, an expressive tool and that a language can be a language when it has a social and a mental side. Moreover, she emphasizes that coding as literacy should include not only thinking like a natural language but also expression and communication or social interaction, which involves doing, creating, and bringing into being. Bers ( 2008 ) states that coding, like writing, is a tool for human expression and emphasizes that in this process, children seek new ways of thinking and expressing new ideas and develop new thinking, feeling, and communication skills through this impressive process.

Coding provides the necessary motivation for children to learn programming in more detail and supports their emotional aspects by enabling them to transform ideas into products (Heikkilä, 2020 ; Toh et al., 2016 ). Machines have become a part of our lives, and we communicate with them just as we do with other individuals. For this reason, García- Peñalvo et al. (2016) stated that coding enables children to collaborate better with machines.

Fox and Farmer ( 2011 ) state that children not only manipulate objects and learn rules while creating concrete products through coding but also write codes, build artifacts in virtual environments, and review, share, and revise them. For this reason, it is emphasized that coding activities allow students to cooperate with their peers and provide highly sustainable participation in problem-solving and reasoning (Fox & Farmer, 2011 ). Studies have found that computers can act as a catalyst for social interaction in early childhood education classrooms (Clements, 1999 ) and that children have twice as much social interaction in front of computers as in other activities (Svensson, 2000 ) and speak twice as many words as in non-technology-related activities (New & Cochran, 2007 ). Coding education, whether provided through block-based applications or robotic tools and activities, can improve children’s peer collaboration, communication, and social relations (Bers et al., 2019 ; Lee et al., 2013 , 2017 ; Sullivan & Bers, 2018 ; Wartella & Jennings, 2000 ), social development and socially oriented development (Bers, 2012 ; Caballero-Gonzalez et al., 2019; Critten et al., 2022 ; Fessakis et al., 2013 ; Flannery et al., 2013; Pugnali et al., 2017 ; Strawhacker & Bers, 2015 ) and self-regulation skills (Kazakoff, 2014 ).

The findings of this study provide evidence that coding contributes to some children’s developmental areas. In addition, the opinions and perceptions of the participants regarding coding are also seen as a factor that will contribute to the field. The views of children who receive coding education and teachers who work with children on the effects of coding on development are considered necessary to guide the studies conducted in this field and the practices and curricula to be developed.

2.5 Review studies on coding

Many systematic analysis studies have been conducted on coding at the K-12 level. Lye and Koh ( 2014 ), who conducted one of these studies, revealed that empirical studies on early childhood are lacking. However, since Lye and Koh ( 2014 ) drew attention to the deficiency in the field of early childhood, it is seen that studies in this field have increased rapidly. With this increase, the studies conducted in this field have started to be analyzed. There are a limited number of review studies conducted for preschool children. Papadakis et al. ( 2016 ) present a literature review including 18 studies on how the ScratchJr application affects children’s CT, coding, and general literacy skills in preschool. The study emphasized that ScratchJr seems to be a helpful application that positively affects children’s IT and coding skills. Popat and Starkey ( 2019 ) included 11 studies in their review study to analyze the educational outcomes of children learning coding at school. Of these studies, only one was on the problem-solving skills of 5-6-year-old children. Other studies are primarily studies for primary school children. Popat and Starkey ( 2019 ) stated that the studies show that students can learn coding and that they can learn several other educational outcomes (such as mathematical problem-solving, critical thinking, social skills, self-management, and academic skills) through coding instruction.

Sulistyaningtyas et al. ( 2021 , September) reviewed 9 studies on coding for early childhood children between 2015 and 2020. This review includes two main objectives: coding practices in early childhood and the impact of coding on early childhood development. In the study, unplugged and plugged activities were used in early childhood, and Children’s planning and inhibition skills in communication, collaboration, and creativity were stated as learning outcomes. Macrides et al. ( 2022 ) analyzed the studies on programming in early childhood education. This review study analyzed 34 studies for children aged 3–8 years. Of these studies, 5 were conducted with children over 6. These findings show that there has been a significant increase in studies on preschool children in recent years. The intervention programs examined in these studies primarily focus on teaching coding (11 studies) and IT skills (11 studies), with limited attention given to supporting children’s overall development. Among the studies targeting developmental areas, the emphasis is mainly on cognitive aspects, particularly problem-solving and creativity. Zurnacı and Turan ( 2022 ) reported that, in Turkey, there were 30 studies on preschool coding, consisting of 11 qualitative, 11 quantitative, and 4 mixed-methods studies. These studies predominantly address coding and IT skills but also address academic, cognitive, language, and social skills.

Su et al. ( 2023 ) reviewed 20 studies on early childhood coding curricula published in 2012–2021. In this study, educational practices for children were examined in depth. In this review, how the curricula in educational practices for children are designed, which coding platforms or applications are used, what pedagogical approaches are used, research methods, and findings obtained from these studies were examined in depth. In recent years, educational approaches to support preschool children’s coding skills have increased, and robotics, Web 2.0 tools, and web-based applications have been developed to support children’s coding skills. These studies have revealed that children can acquire coding skills early on. However, it is essential to examine how coding skills contribute to children’s other developmental areas and to develop research and applications in this field. This review of coding has contributed significantly to the current state of the art in this field, as well as the needs and future research. Resnick and Rusk ( 2020 ) note that over the past decade, they have seen that it is possible to extend coding experiences to millions of children worldwide. At the same time, they emphasize that there are extraordinary challenges, that coding has been introduced in ways that undermine its potential and promise in many places, and that educational strategies and pedagogies to introduce coding must be carefully discussed. For this reason, in addition to the quantitative data on coding, it is thought that knowing how teachers and children interpret coding can shed light on similar future studies. For this reason, this study aims to shed light on future studies by comprehensively examining qualitative studies on preschool children and the effects of coding on children’s developmental areas in these studies.

3 Methodology

3.1 research model.

This research endeavors to ascertain the impact of coding instruction on preschool-aged children’s cognitive and socio-emotional development. The primary objective of this investigation is to undertake a systematic analysis of qualitative primary data, discerning recurring themes and topics elucidating the effects of coding education on children’s development. This analytical process culminates in synthesizing these identified themes and topics, ultimately facilitating the derivation of comprehensive conclusions. In the context of this research, the meta-thematic analysis approach is recurrently utilized to meticulously dissect the primary qualitative data (Thomas & Harden, 2008 ). Specifically, this study adopts a meta-thematic framework to synthesize qualitative studies concerning preschool children and their engagement with coding education. Within the purview of the meta-thematic analysis, three overarching themes are meticulously examined:

Theme 1: “What are the cognitive ramifications of incorporating coding education in preschool settings?”

Theme 2: “What are the socio-emotional implications stemming from integrating coding education in preschool contexts?”

Theme 3: “ What are the comparisons of theses data and research articles data ?”

These themes provide the structural foundation for the comprehensive investigation into the multifaceted impacts of coding education on preschool-aged children’s cognitive and socio-emotional development.

3.2 Studies included in the study

In this study, studies on coding education at the preschool education level were investigated within the scope of meta-thematic analysis. The criteria for the inclusion of the study in the meta-thematic analysis were determined as follows:

Being at the level of preschool education (0–6 years),

Aiming to measure the effects and limitations of coding education on students’ cognitive, emotional, and social context,

Scientifically qualified and sufficient,

Including direct participant views,

Being an experimental study,

Being a thesis or article,

The studies were selected according to these criteria.

In the study, seven databases, including “Science Direct-SD,” “Taylor and Francis-TF,” “Higher Education Council Thesis Center (YokTez-YT),” “Dergipark,” “ProQuest-PQ,” ERIC-E,” and “Web of Science-WOS,” were utilized. The databases were searched with the keywords “preschool coding,” “early childhood coding,” “computer-free coding,” “preschool programming,” and “early childhood programming.”

The articles and theses searched in the database were selected based on the above criteria. At the end of this study, 942 studies had been reached. Based on the criteria at the end of the evaluation, 13 articles were included in the meta-thematic analysis. The number of included and excluded studies in the meta-thematic analysis is presented in Fig.  1 using the PRISMA flow diagram (Moher et al., 2009 ).

Flow diagram of the studies included in the meta-thematic analysis

According to the criteria presented in the PRISMA flow diagram in Fig.  1 and 942 studies examining the research topic were reached. Based on the evaluation according to the research criteria, some studies were eliminated by not being included in the meta-thematic analysis. Two of the studies scanned in the databases were eliminated due to duplication. Another 653 studies were eliminated from the remaining studies due to irrelevant topics. Of the remaining 287 studies, 182 studies were eliminated because they were not suitable for the primary purpose as a result of abstract screening. Of the remaining 105 studies, 88 were eliminated due to qualitative evaluation. Of these studies, 62 were eliminated because there was no qualitative interview data, and 26 were eliminated because there was no experimental study. Among the remaining 17 studies, as a result of the research conducted at the level of the findings, it was determined that the data of four studies needed to be sufficient and appropriate in terms of content and were eliminated. Thus, 13 studies were reached as a result of the screening. This study is limited to 13 studies accessed during the meta-thematic analysis process and included in the analysis. Although this situation is considered a limitation of the study, it follows the nature of meta-thematic studies (Batdı, 2017 , 2019 ).

The reasons for not including the studies that were not included in the meta-thematic analysis are shown in Table  1 . Accordingly, 942 studies were collected from 7 databases, and 929 were eliminated for the reasons shown in Table  1 . 13 studies were included in the meta-thematic analysis.

General information on the articles and the theses used in this study is given in Table  2 below.

The provided sources offer a diverse range of perspectives and insights on the integration of coding into education. Despite this diversity, the common thread across all sources is their emphasis on the importance and benefits of integrating coding into educational settings. They highlight how this integration can address various challenges educators face, such as teaching abstract concepts, fostering creativity, and enhancing problem-solving skills among students. Moreover, the sources underscore the significance of providing resources and support for educators to incorporate coding into their teaching practices effectively. However, differences emerge in the themes explored and the depth of analysis offered. For instance, some sources delve into the practical challenges educators face in implementing coding activities (E1, SD), while others focus on the pedagogical benefits and implications of such integration (WOS, PQ). Overall, while the sources vary in their approach and emphasis, they collectively advocate for integrating coding as a valuable tool for enhancing education and preparing students for the demands of the digital age.

The codes obtained in the meta-thematic analysis related to coding education in preschool were grouped under three themes. In this context, the titles “Contributions of coding education in preschool to the cognitive domain,” “Contributions of coding education in preschool to a social-emotional domain,” and “Comparision of theses data and research articles data” were accepted as themes.

In the current study, the theme created by the researcher related to the research topic and the codes that make up the theme were discussed separately and presented with the findings. At the same time, in interpreting the findings, the sources from which the codes were referenced were directly quoted and supported by the presentation of the themes and codes.

4.1 Contributions of coding education in preschool to the cognitive domain

In the meta-thematic analysis, the sub-problem of the research, “Contributions of coding education in preschool to the cognitive domain,” was taken as a theme. Participant opinions were analyzed in the studies, and codes were created regarding their statements. Codes were created for features such as coding education in preschool, developing students’ intelligence, developing cognitive skills, and reinforcing what is learned.

Contributions of coding education in preschool to the cognitive domain

As a result of the meta-thematic analysis, three sub-categories and ten codes were reached under the theme “Contributions of Coding Education in Preschool to Cognitive Domain.” These codes are shown in Fig.  2 ; Table  3 with the frequency and percentage values. Two experts (academicians) from the field of educational sciences worked on the codes and grouped them into three sub-themes.

The skills development sub-category covers the skills that students are expected to develop, especially those widely referred to as 21st-century skills. During the coding process, it was observed that students especially developed these skills. The codes in the learning enhancement sub-category cover the skills that need to be acquired in daily life and learning towards the permanent learning process. In this case, it is an essential skill that emerges in the final learning process. Interdisciplinary contribution is an important dimension in education that is becoming increasingly important today. In this study, it emerged as a sub-dimension, albeit a very small one.

Table  3 shows that the codes are grouped around three sub-categories. Among these sub-categories, skills development has the highest rate, with 75.3%. Learning enhancement is the sub-category with the second highest rate of 23.6%. Interdisciplinary contribution is the sub-category with the lowest rate of 1.1%. In this context, it can be said that coding education develops skills in preschool children in general.

These codes belong to the skills development sub-category. The contribution of coding education in the cognitive dimension was to develop problem-solving skills with 26.4% and directing (commanding) skills with 24.7%. This skill can also be expressed as a computational thinking skill. This code emerged from the statements about students giving commands to the robot or computer and directing it. In the thesis coded YT3-p.73, the statement “ Then it would be like this. First, I program it to turn silently, then play a birthday song, and then turn it off .” “ It is to teach ways to tell tools such as computers and phones what to do. ” In the article coded E3-p.10, the statement “ I need to stick the arrows in the right direction and take this character to dinner by following the path… ” can be shown as an example.

The code for problem-solving skills was found 47 times in the studies. Some of the statements referenced in this code are “ I believe that it will contribute to the development of children’s abilities in areas such as thinking skills, logic development, problem-solving, etc .” in the article coded E2- p.753. In the thesis coded YT2-p.55, the statement “ It is an approach that provides problem-solving, creativity and analytical thinking skills. ” can be given as examples.

For the code related to the development of creativity: in the thesis coded YT6-p.117, the statement “ They did not have difficulty in applying the new rule as before, they created new rules themselves and turned this situation into a new game ” in the thesis coded YT1-p.68, the statement “ We adjust those things when we press it, it does the coding we want, it does the coding according to our imagination .” and in the article coded PQ-p.304, the statement “ It develops creative thinking and improves cooperative learning. It was collaborative training because we carried out the activities in two groups.”

These codes serve as crucial indicators of the impact of coding education on cognitive dimensions, showcasing its role in enhancing problem-solving skills, directing abilities (such as computational thinking), and fostering creativity among students. They are supported by specific statements and instances extracted from the qualitative research studies, demonstrating real-world applications and observations.

These codes belong to the learning enhancement sub-category. The references related to the code of transferring to daily life: in the thesis coded YT4-s.119, the statement “ There were touches about life-related to the general program. In other words, you always tried to associate it with life rather than sitting down and doing fashion mode robotics training…” and in the thesis coded YT3-p.76, the statement “ They reach places that we cannot reach… For example, lifting large items… ” can be given as examples.

Regarding the effective learning code: In the article coded E1-p.63, the statement “ Taking some concepts through disconnected activities that they already had some experience with and using them to apply them with technology helped them respond quickly and understand better .” can be given as an example.

Codes related to permanent learning: In the thesis coded YT6-p.115, statements “ They did not forget the order of events in the story. Each child made small changes in the story for his/her next friend, and the other child had no difficulty remembering or practicing .” Regarding the code of facilitating learning: In the thesis coded YT4- p.120, the statement “…They had much difficulty in the activities we did about graphics. At the end of the training process, they were able to do such activities much more easily. ” can be given as an example. Regarding the statement in which the code for being comprehensive was revealed: In the article PT4- p.119, the statement “ The activities in the implemented education program were very comprehensive and numerous. Turkish language, art, science, mathematics, drama, play, etc. activities in the preschool program were all included, . .” can be given as an example.

These codes collectively illustrate how coding education transcends theoretical learning, promoting practical application in daily life, improving learning efficacy, supporting long-term knowledge retention, enhancing skill mastery, and contributing to a comprehensive educational experience across different subject areas.

These codes belong to the interdisciplinary contribution sub-category. For the code of contributing to different disciplines: in the article coded PQ-p.311, the statement “ For example, I can use it in animals, colors, shapes, internal organs, and mathematics activities. ” can be given as an example. Regarding the code for the development of intelligence and manual skills: in the article coded E2-p.755, the statement “ I think it was beneficial for the development of intelligence. Being careful helped a lot in the development of manual skills. I also believe using the materials will improve the sensory organs .” can be shown as an example.

These codes emphasize the broad spectrum of benefits associated with coding education. They show how coding contributes to diverse subject areas and is pivotal in enhancing cognitive abilities, fostering manual dexterity, and potentially improving sensory perception through materials and hands-on experiences.

4.2 Contributions of coding education in preschool to the social-emotional domain

In the meta-thematic analysis, the sub-problem of the study, “ Contributions of coding education in preschool to the social-emotional domain ,” was taken as a theme. The participants’ opinions in the articles and theses obtained from the research were examined, and codes were created regarding their statements. Codes such as motivating, fun, and cooperative learning were created for coding education in preschool. As a result of the meta-thematic analysis, eight codes were found under the theme “Contributions of coding education in preschool to a social-emotional domain.” These codes are given in Fig.  3 . In addition, Table  4 below shows the frequency and percentage values of the codes.

Contributions of coding education in preschool to the social-emotional domain”

As a result of the meta-thematic analysis, two sub-categories and eight codes were reached under the theme “Contributions of Coding Education in Preschool to Social-Emotional Domain.” These codes are shown in Fig.  3 ; Table  4 with the frequency and percentage values. Two experts (academicians) from the field of educational sciences worked on the codes and grouped them into two sub-themes.

These sub-categories encompass crucial facets of comprehensive growth. Social and behavioral development entails the acquisition of proficiencies indispensable for efficacious engagement, collaboration, and adjustment in diverse social contexts. Personal development and empowerment concentrate on individual advancement, nurturing resilience, self-assurance, and self-governance to empower individuals to navigate life with certitude. In unison, these categories epitomize manifold dimensions of human maturation and skill enhancement.

Table  4 shows that the codes are grouped around two sub-categories. Social and behavioral development has the highest rate among these sub-categories, with 76.5%. Personal development and empowerment is the sub-category with the second highest rate of 23.5%. In this context, it can be said that coding education develops social-emotional aspects in preschool children in general.

These codes belong to the social and behavioral development sub-category. The code with the highest percentage value was the code of being fun, with 25.9%. Codes related to being fun: In the thesis coded YT6-p.118, the statement “ They had much fun in the game of reaching the nest through obstacles. They put the obstacles in different places and continued to play. ” and in the article coded PQ-p.309, the statement “ It should be included in the school curriculum. It provides cognitive thinking as it both entertains and provides problem-solving skills and even cooperation… ” can be given as an example.

The codes related to supporting cooperative learning and communication can be referenced as follows: “ In the field of social-emotional development, the fact that children look for solutions together, communicate and help each other during programming activities supports the development of collaborative attitude in children .” in the thesis coded YT2- p.64 and “… The fact that group activities were given much space and the groups were mixed strengthened their communication .” the thesis coded YT4- p.120 can be given as examples. Regarding the curiosity code: In the thesis coded YT5- p.78, the statement “ I want to place the cubes immediately for my character to move. ” can be exemplified.

These codes underscore how coding endeavors impart technical proficiencies and yield considerable benefits towards cultivating intangible skills, such as collaboration, proficient communication, and inherent drive and intellectual inquisitiveness, among students.

These codes belong to the personal development and empowerment sub-category. In the present study, 9.9% was found for the code of increasing motivation. The statement “ They were also eager to put the blocks together to create different dances .” In the articles WOS- p.341 and SD- p.142, the statement “… KIBO was an extraordinary source of motivation for our students” can be cited as examples. About the code related to gaining responsibility: In the article SD- p.141, the statement “…Progress was made in supporting values such as respect for a partner and their ideas, the ability to wait, the development of responsibility and autonomy, and the care of materials… ”. Regarding the code for increasing self-confidence: In the article PT2- p.64, the statement “… Learning new things makes children feel good and increases their self-confidence. They express that they are happy after the activity. ” can be given as an example. Referring to the codes related to providing focus: In the article coded E2- p.754, the statement “ The application contributed to the development of children in areas such as cooperation, sharing, focusing and attention… ” can be exemplified.

These codes highlight how coding education transcends technical skills, fostering personal growth by enhancing motivation, instilling a sense of responsibility, boosting self-confidence, and refining essential behavioral attributes like focus and attention.

4.3 Comparision of theses data and research articles data

When the studies are classified as theses and articles and analyzed in terms of similarities and differences, similarities and differences in Target Age Group, Learning Focus, Main Tools, Activities, Benefits, Challenges, Educational Impact, and Teacher Involvement are given in the table in detail (Table 5 ).

The data of research articles delves into the educational application of robotics and coding activities, primarily aimed at young children in preschool and early elementary school. The emphasis is on hands-on learning experiences integrating technology tools such as KIBO and Bee-Bot into the classroom environment. These tools are designed to introduce children to foundational concepts of programming and computational thinking playfully and interactively.

One of the key observations from the research articles’ data is the positive impact of these activities on various aspects of child development. Through engaging with robotics and coding, students demonstrate enhanced teamwork by collaborating with peers to solve problems and complete tasks. The iterative nature of these activities encourages perseverance and determination as students persist in their efforts to achieve success, boosting their confidence along the way.

Teachers and researchers also note the benefits of using structured materials, such as wooden blocks, in conjunction with technology tools. These materials provide tangible, hands-on experiences that help students develop spatial reasoning, problem-solving, and fine motor skills. Moreover, using concrete materials ensures that learning activities are accessible and engaging for all students, regardless of their prior experience or background knowledge.

However, integrating robotics and coding into the curriculum presents its own set of challenges. Educators highlight the importance of starting with unplugged, concrete activities to build foundational understanding before introducing technology-based tools. They also stress the need for adequate teacher training and resources to support effective implementation, particularly in designing developmentally appropriate activities and scaffolding learning experiences to meet the diverse needs of students.

In summary, the data from the research articles underscores the potential of robotics and coding activities to foster critical thinking, collaboration, and creativity among young learners. By providing hands-on experiences with technology tools, educators can help students develop essential skills for success in the digital age while promoting a positive attitude towards learning and exploration. However, achieving these goals requires careful planning, ongoing support, and a commitment to inclusive and equitable education for all students.

Theses data centers around educational activities promoting active participation, problem-solving skills, and curriculum integration. Teachers engage students in diverse activities that target various learning outcomes, including motor skills and cognitive development. These activities are adaptable for different age groups and subjects, allowing for flexibility in implementation.

Teachers reflect on the effectiveness of these activities, considering factors such as student engagement, comprehension, and skill acquisition. While the specific nature of the activities is not detailed, they likely involve hands-on experiences, group collaboration, and exploration of different concepts.

Overall, theses’ data highlight the importance of engaging students in interactive and multidimensional learning experiences that cater to their developmental needs and enhance their understanding of various subjects.

5 Discussion

The fact that computer science is seen as a skill that all individuals should acquire in the early years has increased interest in coding. In addition, innovative coding platforms such as screenless programmable robotics, which have increased in importance in recent years to support 21st-century skills and STEM skills, have increasingly entered children’s early years (Macrides et al., 2022 ). This growing interest in the necessity of coding has increased the efforts of countries to integrate coding into their educational curricula. This increase has also accelerated research in this field. The view that coding is not only about teaching computer science concepts to children but also about skills and literacy has started to gain importance. The view that coding is a skill that provides children with a new perspective, way of thinking, and behavior has been emphasized. However, Popat and Starkey ( 2019 ) and Su et al. ( 2023 ) emphasize that recent studies on coding in early childhood have mainly focused on children’s coding or computational thinking. Su et al. ( 2023 ) pointed out that there are limited studies on the effects of coding on development and that studies should be conducted in this field. Therefore, in this study, qualitative studies on coding were examined to reveal the effects of coding on development. This study has analyzed qualitative studies, considering that they will contribute significantly to this emerging field by examining the work done in this area, what needs to be done in the future, and what kinds of gaps exist.

The meta-thematic analysis aimed to answer the primary research question: “What are the contributions of coding in early childhood education to the cognitive domain?” The findings indicate opinions that coding contributes to directive (command-giving) skills, problem-solving abilities, and fostering creativity. Cognitive-weighted learning outcomes such as transferring knowledge to daily life, effective and lasting learning, and facilitating learning have been highlighted, emphasizing their contributions to various disciplines. Quantitative studies have demonstrated that coding affects sequencing (Kazakoff & Bers, 2012 ; Kazakoff et al., 2013 ; Muñoz-Repiso & Caballero-González, 2019), problem-solving (Akyol-Altun, 2018 ; Bers et al., 2014 ; Çiftci & Bildiren, 2020 ; Fessakis et al., 2013 ), and executive functions (Di Lieto et al., 2017 ). Furthermore, coding and robotics education have significantly supported early mathematical reasoning skills in children (Blanchard et al., 2010 ; Caballero-Gonzalez et al., 2019; Di Lieto et al., 2017 ; Flannery et al., 2013; Kazakoff et al., 2013 ). Canbeldek and Işıkoğlu (2023) observed that coding and robotics education programs positively affected preschool children’s cognitive development, language skills, and creativity. Mısırlı and Komis (2014) found that their implemented program supported the development of mathematical concepts such as sequencing and repetition, algorithmic thinking, measurement, and spatial orientation in children.

Popat and Starkey ( 2019 ) highlighted those researchers mentioned that the inclusion of coding in school curricula provides a range of learning outcomes applicable beyond computer science. Meanwhile, Su et al. ( 2023 ) reviewed studies on coding in early childhood and emphasized that it is a new field focusing on imparting coding skills. The authors suggested evaluating the effects of coding curriculum on holistic learning outcomes in early childhood, such as school readiness skills (e.g., literacy, numeracy, spatial, and social skills). They emphasized the need to assess more critical child developmental outcomes like language, self-regulation, and metacognitive skills to understand the impact of coding curriculum. Zurnacı and Turan ( 2022 ) reviewed studies on coding in preschool education in Turkey, revealing that the most addressed topic was cognitive skills such as problem-solving abilities (in 7 studies), attention, sequencing, and analysis. The findings of this study also demonstrate an emphasis on the limited skills of cognitive development as a multidimensional process related to coding.

The study sought to address the question of “What are the contributions of using coding in early childhood education to the socio-emotional domain?” as the second sub-problem of the research. The study’s findings indicated that coding contributes to the socio-emotional domain by enhancing enjoyment, increasing motivation, fostering collaborative learning, improving communication skills, promoting personal development, empowering through increased motivation for responsibility, enhancing self-confidence, and facilitating focus. Bers ( 2008 , 2012 ), who studies coding in early childhood, states that children should be motivated while using technology and that working in a social and collaborative environment should support social and emotional skills along with these skills. Based on the positive youth development approach, he developed the PTG approach in programs and applications to be developed for children and applied this approach to his applications. In unplugged and block-based applications, he has drawn the framework of learning environments where children can be motivated while coding and develop their social skills by working collaboratively. He presented a road map to change the perspectives that technology negatively affects children’s social and emotional development and to support these areas of development.

Similar studies, like the results of this study, also indicate that coding supports socio-emotional development. Applications focused on coding demonstrate support for children’s peer collaboration, communication, and social relationships (Bers et al., 2019 ; Caballero-Gonzalez et al., 2019; Critten et al., 2022 ; Fessakis et al., 2013 ; Flannery et al., 2013; Lee et al., 2013 ; Sullivan & Bers, 2016 ; Pugnali et al., 2017 ). Studies have shown that coding supports children’s self-regulation skills (Canbeldek and Işıkoğlu, 2023; Di Lieto et al., 2017 ; Kazakoff, 2014 ). Heikkilä ( 2020 ) observed that robotics applications supporting coding generated significant interest in children, increased their patience and enthusiasm, and reduced gender-biased perspectives.

The study sought to address the question of “What are the comparisons of theses data and research articles data?” as the third sub-problem of the research. Theses data, which focus on LEGO-based education, primarily target elementary and middle school students, offering activities that foster creativity, problem-solving, and engineering skills. Students build structures, mechanisms, and robots using LEGO bricks, motors, and sensors. This approach benefits learners by developing their spatial reasoning and engineering abilities, although it can present challenges in the complexity of designs and motor programming. Teachers in this context typically serve as facilitators, guiding students through exploration and experimentation.

In contrast, the data of research articles revolves around robotics and coding education for preschool and early elementary school students. It emphasizes computational thinking, coding skills, and teamwork, often using tools like KIBO and Bee-Bot. Students participate in sequencing, programming, and interactive storytelling, which promote collaboration, critical thinking, and fine motor skills. However, integrating technology and ensuring age-appropriateness can be significant challenges for educators in this domain. Teachers play a more active role in designing activities and scaffolding learning experiences to suit the developmental needs of young learners.

While both topics aim to enhance students’ learning experiences and skills development, their target age groups, learning focuses, main tools, and teacher involvement differ. LEGO-based education leans towards older students and emphasizes hands-on building and engineering, while robotics and coding education cater to younger learners and prioritize computational thinking and programming skills. Despite these variances, both approaches contribute to fostering creativity, problem-solving, and critical thinking skills essential for success in the 21st century.

Due to the nature of meta-thematic research (Batdı, 2019 ), the data used in this study consisted only of articles and theses that presented experimental studies and direct participant views. Therefore, the comparison of articles and thesis studies was limited to these articles. A more detailed comparison is recommended to contribute to the field.

Reviews conducted on coding in early childhood (Lye & Koh, 2014 ; Macrides et al., 2022 ; Papadakis et al., 2016 ; Su et al., 2023 ) have revealed significant findings. These studies have indicated that intervention programs primarily focus on children’s coding and computational thinking skills, with a limited number examining their impact on developmental domains. The present study, however, has demonstrated an understanding of coding’s influence on cognitive and socio-emotional development. Furthermore, a significant finding of this study indicates a focus on a few foundational skills within cognitive and socio-emotional development through coding.

Previous review studies have contributed significantly to coding practices, approaches, methods, techniques, materials, and assessments used in these interventions. They have also outlined a framework for studies centered around coding. Additionally, it is believed that identifying views, thoughts, and trends in the field will provide substantial contributions from practitioners or researchers regarding their perspectives on coding, ultimately strengthening and enhancing studies.

This study suggests a trend indicating that coding contributes to cognitive and socio-emotional domains. However, coding is proposed to support various cognitive and socio-emotional development aspects. It is essential to empirically validate and confirm these views concerning the impacts of coding on development through empirical studies.

Data availability

The data used to support the findings of this study are available from the corresponding author upon request.

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Başaran, M., Metin, Ş. & Vural, Ö.F. Meta-thematic synthesis of research on early childhood coding education: A comprehensive review. Educ Inf Technol (2024). https://doi.org/10.1007/s10639-024-12675-2

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Wichita State University has helped lead the way in creating a standard for badges offered across institutions and corporations. WSU's Office of Workforce, Professional and Community Education collaborates with employers and faculty to develop badges in response to workforce needs.

Badges at WSU support the workforce through targeted training opportunities

By Caelin Bragg

• Wichita State University offers badge courses to working professional to enhance and retrain their current experience and skills.
• The TrustEd Microcredential Coalition was formed to develop national standards for badges, which WSU is a founding member of.
• Badges are developed in response to workforce needs alongside employers, licensing agencies and faculty.

Wichita State University has offered the traditional educational pathways for over 125 years, typically ending at the point of graduation, but the need for learning continues throughout a person’s lifetime.

In a rapidly changing world, continuing education has never been more important. More and more jobs require skill-based certification of learning, which includes the attainment of validated durable and technical skills. To meet those needs, WSU was the first in Kansas to create badge courses for non-degree seeking students in 2015, after approval from the Kansas Board of Regents.

Badges are short courses of one credit hour or less, and instruction is designed using modules of skills-based learning and application. Students in the badge courses must pass with a success rate of 80-85% on all assignments to receive a Badge Granted grade, or BG, which then becomes part of a student’s official WSU transcript.

Designed for adults balancing work and family obligations, badges offering coursework online using open educational resources, meaning no textbooks are required. Coursework completion is flexible, with the requirement that coursework must be completed during the semester it is started. Taught by university faculty, coursework and instruction meets all higher learning education requirements.

A unique aspect of WSU badge courses is that the skills and competency-based curriculum is developed in partnership and with input of employers, government licensing agencies, trade associations and faculty.

“WSU has taken an approach much different than many institutions,” said Kim Moore, executive director of Workforce, Professional and Community Education, who manages badges at WSU. “Instead of partnering one on one with a business, the university is focusing its efforts on professions where we see the greatest need and impact potential. Currently, my work centers around the development of skill-based badges creating career pathways for direct support professionals, who are individuals that provide direct care to individuals with intellectual and behavioral disabilities. Due to a lack of training, low wages and no career pathway, it has been difficult to recruit and retain direct support professionals, and the wait list in Kansas for services is 10 years.”

Badges are value-added education for individuals who already have a degree and can be used for relicensure for many professions. Badges may also be stacked to create skills-based career pathways and certifications for individuals who don’t have or need a degree.

In what has largely been the wild west of education and training, there has been no consistency in how and why badges are awarded and no way to track and validate their integrity and value, Moore says. Anyone could award a badge for any reason, and employers could never be sure any documented meaningful learning occurred.

In response, Wichita State has become a leader in the development of national standards related to badges and digital credentials as a founding member of the TrustEd Microcredential Coalition through 1EdTech, a community of leaders from across education sectors and edtech suppliers to build an ecosystem to help learners. The microcredential metadata framework was released from the coalition to set recommended data requirements for microcredentials.

“When someone says they have a badge, what does that even mean?” Moore said. “We really don’t know because there hasn’t been a way to validate and verify what learning occurred. That’s why there is the TrustEd Microcredential Coalition, because we are trying to make sure that standards are met, metadata is acquired and that learning can be validated.”

An advantage badges have over traditional coursework and degrees is their flexibility. Badges can quickly adapt, morph or be created to meet the needs of employers and professionals.

One such badge that is currently under development, for launch in 2025, is the Aging Care Professional (ACP) Badge, which aims to complement health care professionals’ education in the field of aging populations.

“It’s us as a community saying, ‘but they need to know this stuff, too,’” said Robert Miller — lecturer in the Department Public Health Sciences in the College of Health Professions — who is currently helping develop the ACP badge. “It can come alongside health care professionals, and they can say, ‘I’m a CNA or newly vetted nurse with my license, but I want more experience in dealing with the aging population.’ They now have something that they can add to their education to get additional skills to be successful.”

When deciding on what badges to offer next, Moore looks to the workforce to see the common concerns employers have and where WSU can help fill in the gaps. Once a workforce need has been identified, a team is put together to develop a badge — with insight from faculty, employers and Moore’s office — that meets those needs.

“It’s all about skills and competencies,” Moore said. “It’s not about grades. It’s about if you can master a skill and become competent and be able to apply that learning in an employment setting, which makes them different than other types of education.”

Matt Fletcher — executive director at InterHab, a Kansas-based trade association that represents service providers for those with intellectual and developmental disabilities — is one of the workforce partners who helped develop the Direct Support Professional Badges offered at WSU, which aim to provide foundational skills to those working in the intellectual and developmental disabilities field.

“There’s a number of reasons why badges are very important, and I would argue critical, for our workforce,” Fletcher said. “The intellectual and developmental disabilities system has grown and been developed organically in response to the needs of individuals and communities, but one of the challenges with that is we never took the time to formally create a means by which we develop the workforce. So courses, like those offered from Wichita State University, give us foundational elements that are needed to begin professionalizing our workforce.”

Fletcher also underscored the benefit of having the badges offered online, allowing professionals from across the state to access the professional development opportunities offered even while they work full time.

Moore is not only spearheading WSU’s badge program, she is also a nationwide leader on microcredentials, who was recently elected to 1EdTech’s board of directors in early 2024 and received a 2022 Leadership Award for higher education leadership from 1EdTech.

“We can have a great impact if, in my opinion, we focus on professions and not individual businesses, so that’s where I’ve been focusing my efforts,” Moore said. “How can I make a difference within our state and within our community? How can I benefit the people who live here and those that hire them? I am fortunate to be able to focus on such meaningful work that impacts and improves the lives of the state’s most vulnerable populations while providing individuals in low-wage jobs with a career pathway to a better future.”

For a complete catalog of WSU badge courses, visit wichita.edu/badges .

About Wichita State University

Wichita State University is Kansas' only urban public research university, enrolling more than 23,000 students between its main campus and WSU Tech, including students from every state in the U.S. and more than 100 countries. Wichita State and WSU Tech are recognized for being student centered and innovation driven.

Located in the largest city in the state with one of the highest concentrations in the United States of jobs involving science, technology, engineering and math (STEM), Wichita State University provides uniquely distinctive and innovative pathways of applied learning, applied research and career opportunities for all of our students.

The Innovation Campus , which is a physical extension of the Wichita State University main campus, is one of the nation’s largest and fastest-growing research/innovation parks, encompassing over 120 acres and is home to a number of global companies and organizations.

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