define abstract in research methodology

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What Exactly is an Abstract, and How Do I Write One?

An abstract is a short summary of your completed research. It is intended to describe your work without going into great detail. Abstracts should be self-contained and concise, explaining your work as briefly and clearly as possible. Different disciplines call for slightly different approaches to abstracts, as will be illustrated by the examples below, so it would be wise to study some abstracts from your own field before you begin to write one.

General Considerations

Probably the most important function of an abstract is to help a reader decide if he or she is interested in reading your entire publication. For instance, imagine that you’re an undergraduate student sitting in the library late on a Friday night. You’re tired, bored, and sick of looking up articles about the history of celery. The last thing you want to do is reading an entire article only to discover it contributes nothing to your argument. A good abstract can solve this problem by indicating to the reader if the work is likely to be meaningful to his or her particular research project. Additionally, abstracts are used to help libraries catalogue publications based on the keywords that appear in them.

An effective abstract will contain several key features:

• Motivation/problem statement: Why is your research/argument important? What practical, scientific, theoretical or artistic gap is your project filling?
• Methods/procedure/approach: What did you actually do to get your results? (e.g. analyzed 3 novels, completed a series of 5 oil paintings, interviewed 17 students)
• Results/findings/product: As a result of completing the above procedure, what did you learn/invent/create?
• Conclusion/implications: What are the larger implications of your findings, especially for the problem/gap identified previously? Why is this research valuable?

In Practice

Let’s take a look at some sample abstracts, and see where these components show up. To give you an idea of how the author meets these “requirements” of abstract writing, the various features have been color-coded to correspond with the numbers listed above. The general format of an abstract is largely predictable, with some discipline-based differences. One type of abstract not discussed here is the “Descriptive Abstract,” which only summarizes and explains existing research, rather than informing the reader of a new perspective. As you can imagine, such an abstract would omit certain components of our four-colored model.

SAMPLE ABSTRACTS

ABSTRACT #1: History / Social Science

"Their War": The Perspective of the South Vietnamese Military in Their Own Words Author: Julie Pham

Despite the vast research by Americans on the Vietnam War, little is known about the perspective of South Vietnamese military, officially called the Republic of Vietnam Armed Forces (RVNAF). The overall image that emerges from the literature is negative: lazy, corrupt, unpatriotic, apathetic soldiers with poor fighting spirits. This study recovers some of the South Vietnamese military perspective for an American audience through qualititative interviews with 40 RVNAF veterans now living in San José, Sacramento, and Seattle, home to three of the top five largest Vietnamese American communities in the nation. An analysis of these interviews yields the veterans' own explanations that complicate and sometimes even challenge three widely held assumptions about the South Vietnamese military: 1) the RVNAF was rife with corruption at the top ranks, hurting the morale of the lower ranks; 2) racial relations between the South Vietnamese military and the Americans were tense and hostile; and 3) the RVNAF was apathetic in defending South Vietnam from communism. The stories add nuance to our understanding of who the South Vietnamese were in the Vietnam War. This study is part of a growing body of research on non-American perspectives of the war. In using a largely untapped source of Vietnamese history—oral histories with Vietnamese immigrants—this project will contribute to future research on similar topics.

That was a fairly basic abstract that allows us to examine its individual parts more thoroughly.

Motivation/problem statement: The author identifies that previous research has been done about the Vietnam War, but that it has failed to address the specific topic of South Vietnam’s military. This is good because it shows how the author’s research fits into the bigger picture. It isn’t a bad thing to be critical of other research, but be respectful from an academic standpoint (i.e. “Previous researchers are stupid and don’t know what they’re talking about” sounds kind of unprofessional).

Methods/procedure/approach: The author does a good job of explaining how she performed her research, without giving unnecessary detail. Noting that she conducted qualitative interviews with 40 subjects is significant, but she wisely does not explicitly state the kinds of questions asked during the interview, which would be excessive.

Results/findings/product: The results make good use of numbering to clearly indicate what was ascertained from the research—particularly useful, as people often just scan abstracts for the results of an experiment.

Conclusion/implications: Since this paper is historical in nature, its findings may be hard to extrapolate to modern-day phenomena, but the author identifies the importance of her work as part of a growing body of research, which merits further investigation. This strategy functions to encourage future research on the topic.

ABSTRACT #2: Natural Science “A Lysimeter Study of Grass Cover and Water Table Depth Effects on Pesticide Residues in Drainage Water” Authors: A. Liaghat, S.O. Prasher

A study was undertaken to investigate the effect of soil and grass cover, when integrated with water table management (subsurface drainage and controlled drainage), in reducing herbicide residues in agricultural drainage water. Twelve PVC lysimeters, 1 m long and 450 mm diameter, were packed with a sandy soil and used to study the following four treatments: subsurface drainage, controlled drainage, grass (sod) cover, and bare soil. Contaminated water containing atrazine, metolachlor, and metribuzin residues was applied to the lysimeters and samples of drain effluent were collected. Significant reductions in pesticide concentrations were found in all treatments. In the first year, herbicide levels were reduced significantly (1% level), from an average of 250 mg/L to less than 10 mg/L . In the second year, polluted water of 50 mg/L, which is considered more realistic and reasonable in natural drainage waters, was applied to the lysimeters and herbicide residues in the drainage waters were reduced to less than 1 mg/L. The subsurface drainage lysimeters covered with grass proved to be the most effective treatment system.

Motivation/problem statement: Once again, we see that the problem—more like subject of study —is stated first in the abstract. This is normal for abstracts, in that you want to include the most important information first. The results may seem like the most important part of the abstract, but without mentioning the subject, the results won’t make much sense to readers. Notice that the abstract makes no references to other research, which is fine. It is not obligatory to cite other publications in an abstract, and in fact, doing so might distract your reader from YOUR experiment. Either way, it is likely that other sources will surface in your paper’s discussion/conclusion.

Methods/procedure/approach: Notice that the authors include pertinent numbers and figures in describing their methods. An extended description of the methods would probably include a long list of numerical values and conditions for each experimental trial, so it is important to include only the most important values in your abstract—ones that might make your study unique. Additionally, we see that a methodological description appears in two different parts of the abstract. This is fine. It may work better to explain your experiment by more closely connecting each method to its result. One last point: the author doesn’t take time to define—or give any background information about—“atrazine,” “metalachlor,” “lysimeter,” or “metribuzin.” This may be because other ecologists know what these are, but even if that’s not the case, you shouldn’t take time to define terms in your abstract.

Results/findings/product: Similar to the methods component of the abstract, you want to condense your findings to include only the major result of the experiment. Again, this study focused on two major trials, so both trials and both major results are listed. A particularly important word to consider when sharing results in an abstract is “significant.” In statistics, “significant” means roughly that your results were not due to chance. In your paper, your results may be hundreds of words long, and involve dozens of tables and graphs, but ultimately, your reader only wants to know: “What was the main result, and was that result significant?” So, try to answer both these questions in the abstract.

Conclusion/implications: This abstract’s conclusion sounds more like a result: “…lysimeters covered with grass were found to be the most effective treatment system.” This may seem incomplete, since it does not explain how this system could/should/would be applied to other situations, but that’s okay. There is plenty of space for addressing those issues in the body of the paper.

ABSTRACT #3: Philosophy / Literature [Note: Many papers don’t precisely follow the previous format, since they do not involve an experiment and its methods. Nonetheless, they typically rely on a similar structure.]

“Participatory Legitimation: A Reply to Arash Abizadeh” Author: Eric Schmidt, Louisiana State University, 2011

Arash Abizadeh’s argument against unilateral border control relies on his unbounded demos thesis, which is supported negatively by arguing that the ‘bounded demos thesis’ is incoherent. The incoherency arises for two reasons: (1) Democratic principles cannot be brought to bear on matters (border control) logically prior to the constitution of a group, and (2), the civic definition of citizens and non-citizens creates an ‘externality problem’ because the act of definition is an exercise of coercive power over all persons. The bounded demos thesis is rejected because the “will of the people” fails to legitimate democratic political order because there can be no pre-political political will of the people. However, I argue that “the will of the people” can be made manifest under a robust understanding of participatory legitimation, which exists concurrently with the political state, and thus defines both its borders and citizens as bounded , rescuing the bounded demos thesis and compromising the rest of Abizadeh’s article.

This paper may not make any sense to someone not studying philosophy, or not having read the text being critiqued. However, we can still see where the author separates the different components of the abstract, even if we don’t understand the terminology used.

Motivation/problem statement: The problem is not really a problem, but rather another person’s belief on a subject matter. For that reason, the author takes time to carefully explain the exact theory that he will be arguing against.

Methods/procedure/approach: [Note that there is no traditional “Methods” component of this abstract.] Reviews like this are purely critical and don’t necessarily involve performing experiments as in the other abstracts we have seen. Still, a paper like this may incorporate ideas from other sources, much like our traditional definition of experimental research.

Results/findings/product: In a paper like this, the “findings” tend to resemble what you have concluded about something, which will largely be based on your own opinion, supported by various examples. For that reason, the finding of this paper is: “The ‘will of the people,’ actually corresponds to a ‘bounded demos thesis.’” Even though we aren’t sure what the terms mean, we can plainly see that the finding (argument) is in support of “bounded,” rather than “unbounded.”

Conclusion/implications: If our finding is that “bounded” is correct, then what should we conclude? [In this case, the conclusion is simply that the initial author, A.A., is wrong.] Some critical papers attempt to broaden the conclusion to show something outside the scope of the paper. For example, if A.A. believes his “unbounded demos thesis” to be correct (when he is actually mistaken), what does this say about him? About his philosophy? About society as a whole? Maybe people who agree with him are more likely to vote Democrat, more likely to approve of certain immigration policies, more likely to own Labrador retrievers as pets, etc.

Applying These Skills

Now that you know the general layout of an abstract, here are some tips to keep in mind as you write your own:

1. The abstract stands alone

• An abstract shouldn’t be considered “part” of a paper—it should be able to stand independently and still tell the reader something significant.

2. Keep it short

• A general rule of abstract length is 200-300 words, or about 1/10th of the entire paper.

3. Don’t add new information

• If something doesn’t appear in your actual paper, then don’t put it in the abstract.

4. Be consistent with voice, tone, and style

• Try to write the abstract in the same style as your paper (i.e. If you’re not using contractions in your paper, the do not use them in your abstract).

5. Be concise

• Try to shorten your sentences as often as possible. If you can say something clearly in five words rather than ten, then do it.

6. Break up its components

• If allowed, subdivide the components of your abstract with bolded headings for “Background,” “Methods,” etc.

7. The abstract should be part of your writing process

• Consider writing your abstract after you finish your entire paper.
• There’s nothing wrong with copying and pasting important sentences and phrases from your paper … provided that they’re your own words.
• Write multiple drafts, and keep revising. An abstract is very important to your publication (or assignment) and should be treated as such.

"Abstracts." The Writing Center. The University of North Carolina, n.d. Web. 1 Jun 2011. http://www.unc.edu/depts/wcweb/handouts/abstracts.html "Abstracts." The Writing Center. Rensselaer Polytechnic Institute, n.d. Web. 1 Jun 2011. http://www.rpi.edu/web/writingcenter/abstracts.html

Last updated August 2013

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Writing an Abstract for Your Research Paper

Definition and Purpose of Abstracts

An abstract is a short summary of your (published or unpublished) research paper, usually about a paragraph (c. 6-7 sentences, 150-250 words) long. A well-written abstract serves multiple purposes:

• an abstract lets readers get the gist or essence of your paper or article quickly, in order to decide whether to read the full paper;
• an abstract prepares readers to follow the detailed information, analyses, and arguments in your full paper;
• and, later, an abstract helps readers remember key points from your paper.

It’s also worth remembering that search engines and bibliographic databases use abstracts, as well as the title, to identify key terms for indexing your published paper. So what you include in your abstract and in your title are crucial for helping other researchers find your paper or article.

If you are writing an abstract for a course paper, your professor may give you specific guidelines for what to include and how to organize your abstract. Similarly, academic journals often have specific requirements for abstracts. So in addition to following the advice on this page, you should be sure to look for and follow any guidelines from the course or journal you’re writing for.

The Contents of an Abstract

Abstracts contain most of the following kinds of information in brief form. The body of your paper will, of course, develop and explain these ideas much more fully. As you will see in the samples below, the proportion of your abstract that you devote to each kind of information—and the sequence of that information—will vary, depending on the nature and genre of the paper that you are summarizing in your abstract. And in some cases, some of this information is implied, rather than stated explicitly. The Publication Manual of the American Psychological Association , which is widely used in the social sciences, gives specific guidelines for what to include in the abstract for different kinds of papers—for empirical studies, literature reviews or meta-analyses, theoretical papers, methodological papers, and case studies.

Here are the typical kinds of information found in most abstracts:

• the context or background information for your research; the general topic under study; the specific topic of your research
• the central questions or statement of the problem your research addresses
• what’s already known about this question, what previous research has done or shown
• the main reason(s) , the exigency, the rationale , the goals for your research—Why is it important to address these questions? Are you, for example, examining a new topic? Why is that topic worth examining? Are you filling a gap in previous research? Applying new methods to take a fresh look at existing ideas or data? Resolving a dispute within the literature in your field? . . .
• your research and/or analytical methods
• your main findings , results , or arguments
• the significance or implications of your findings or arguments.

Your abstract should be intelligible on its own, without a reader’s having to read your entire paper. And in an abstract, you usually do not cite references—most of your abstract will describe what you have studied in your research and what you have found and what you argue in your paper. In the body of your paper, you will cite the specific literature that informs your research.

When to Write Your Abstract

Although you might be tempted to write your abstract first because it will appear as the very first part of your paper, it’s a good idea to wait to write your abstract until after you’ve drafted your full paper, so that you know what you’re summarizing.

What follows are some sample abstracts in published papers or articles, all written by faculty at UW-Madison who come from a variety of disciplines. We have annotated these samples to help you see the work that these authors are doing within their abstracts.

Choosing Verb Tenses within Your Abstract

The social science sample (Sample 1) below uses the present tense to describe general facts and interpretations that have been and are currently true, including the prevailing explanation for the social phenomenon under study. That abstract also uses the present tense to describe the methods, the findings, the arguments, and the implications of the findings from their new research study. The authors use the past tense to describe previous research.

The humanities sample (Sample 2) below uses the past tense to describe completed events in the past (the texts created in the pulp fiction industry in the 1970s and 80s) and uses the present tense to describe what is happening in those texts, to explain the significance or meaning of those texts, and to describe the arguments presented in the article.

The science samples (Samples 3 and 4) below use the past tense to describe what previous research studies have done and the research the authors have conducted, the methods they have followed, and what they have found. In their rationale or justification for their research (what remains to be done), they use the present tense. They also use the present tense to introduce their study (in Sample 3, “Here we report . . .”) and to explain the significance of their study (In Sample 3, This reprogramming . . . “provides a scalable cell source for. . .”).

Sample Abstract 1

From the social sciences.

Reporting new findings about the reasons for increasing economic homogamy among spouses

Gonalons-Pons, Pilar, and Christine R. Schwartz. “Trends in Economic Homogamy: Changes in Assortative Mating or the Division of Labor in Marriage?” Demography , vol. 54, no. 3, 2017, pp. 985-1005.

Sample Abstract 2

From the humanities.

Analyzing underground pulp fiction publications in Tanzania, this article makes an argument about the cultural significance of those publications

Emily Callaci. “Street Textuality: Socialism, Masculinity, and Urban Belonging in Tanzania’s Pulp Fiction Publishing Industry, 1975-1985.” Comparative Studies in Society and History , vol. 59, no. 1, 2017, pp. 183-210.

Sample Abstract/Summary 3

From the sciences.

Reporting a new method for reprogramming adult mouse fibroblasts into induced cardiac progenitor cells

Lalit, Pratik A., Max R. Salick, Daryl O. Nelson, Jayne M. Squirrell, Christina M. Shafer, Neel G. Patel, Imaan Saeed, Eric G. Schmuck, Yogananda S. Markandeya, Rachel Wong, Martin R. Lea, Kevin W. Eliceiri, Timothy A. Hacker, Wendy C. Crone, Michael Kyba, Daniel J. Garry, Ron Stewart, James A. Thomson, Karen M. Downs, Gary E. Lyons, and Timothy J. Kamp. “Lineage Reprogramming of Fibroblasts into Proliferative Induced Cardiac Progenitor Cells by Defined Factors.” Cell Stem Cell , vol. 18, 2016, pp. 354-367.

Sample Abstract 4, a Structured Abstract

Reporting results about the effectiveness of antibiotic therapy in managing acute bacterial sinusitis, from a rigorously controlled study

Note: This journal requires authors to organize their abstract into four specific sections, with strict word limits. Because the headings for this structured abstract are self-explanatory, we have chosen not to add annotations to this sample abstract.

Wald, Ellen R., David Nash, and Jens Eickhoff. “Effectiveness of Amoxicillin/Clavulanate Potassium in the Treatment of Acute Bacterial Sinusitis in Children.” Pediatrics , vol. 124, no. 1, 2009, pp. 9-15.

“OBJECTIVE: The role of antibiotic therapy in managing acute bacterial sinusitis (ABS) in children is controversial. The purpose of this study was to determine the effectiveness of high-dose amoxicillin/potassium clavulanate in the treatment of children diagnosed with ABS.

METHODS : This was a randomized, double-blind, placebo-controlled study. Children 1 to 10 years of age with a clinical presentation compatible with ABS were eligible for participation. Patients were stratified according to age (<6 or ≥6 years) and clinical severity and randomly assigned to receive either amoxicillin (90 mg/kg) with potassium clavulanate (6.4 mg/kg) or placebo. A symptom survey was performed on days 0, 1, 2, 3, 5, 7, 10, 20, and 30. Patients were examined on day 14. Children’s conditions were rated as cured, improved, or failed according to scoring rules.

RESULTS: Two thousand one hundred thirty-five children with respiratory complaints were screened for enrollment; 139 (6.5%) had ABS. Fifty-eight patients were enrolled, and 56 were randomly assigned. The mean age was 6630 months. Fifty (89%) patients presented with persistent symptoms, and 6 (11%) presented with nonpersistent symptoms. In 24 (43%) children, the illness was classified as mild, whereas in the remaining 32 (57%) children it was severe. Of the 28 children who received the antibiotic, 14 (50%) were cured, 4 (14%) were improved, 4(14%) experienced treatment failure, and 6 (21%) withdrew. Of the 28children who received placebo, 4 (14%) were cured, 5 (18%) improved, and 19 (68%) experienced treatment failure. Children receiving the antibiotic were more likely to be cured (50% vs 14%) and less likely to have treatment failure (14% vs 68%) than children receiving the placebo.

CONCLUSIONS : ABS is a common complication of viral upper respiratory infections. Amoxicillin/potassium clavulanate results in significantly more cures and fewer failures than placebo, according to parental report of time to resolution.” (9)

Some Excellent Advice about Writing Abstracts for Basic Science Research Papers, by Professor Adriano Aguzzi from the Institute of Neuropathology at the University of Zurich:

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Role of an Abstract in Research Paper With Examples

Why does one write an abstract? What is so intriguing about writing an abstract in research paper after writing a full length research paper? How do research paper abstracts or summaries help a researcher during research publishing? These are the most common and frequently pondered upon questions that early career researchers search answers for over the internet!

Table of Contents

What does Abstract mean in Research?

In Research, abstract is “a well-developed single paragraph which is approximately 250 words in length”. Furthermore, it is single-spaced single spaced. Abstract outlines all the parts of the paper briefly. Although the abstract is placed in the beginning of the research paper immediately after research title , the abstract is the last thing a researcher writes.

Why Is an Abstract Necessary in Research Paper?

Abstract is a concise academic text that –

• Helps the potential reader get the relevance of your research study for their own research
• Communicates your key findings for those who have time constraints in reading your paper
• And helps rank the article on search engines based on the keywords on academic databases.

Purpose of Writing an Abstract in Research

Abstracts are required for –

• Submission of articles to journals
• Application for research grants
• Completion and submission of thesis
• Submission of proposals for conference papers.

Aspects Included in an Abstract

The format of your abstract depends on the field of research, in which you are working. However, all abstracts broadly cover the following sections:

Reason for Writing

One can start with the importance of conducting their research study. Furthermore, you could start with a broader research question and address why would the reader be interested in that particular research question.

Research Problem

You could mention what problem the research study chooses to address. Moreover, you could elaborate about the scope of the project, the main argument, brief about thesis objective or what the study claims.

• Methodology

Furthermore, you could mention a line or two about what approach and specific models the research study uses in the scientific work. Some research studies may discuss the evidences in throughout the paper, so instead of writing about methodologies you could mention the types of evidence used in the research.

The scientific research aims to get the specific data that indicates the results of the project. Therefore, you could mention the results and discuss the findings in a broader and general way.

Finally, you could discuss how the research work contributes to the scientific society and adds knowledge on the topic. Also, you could specify if your findings or inferences could help future research and researchers.

Types of Abstracts

Based on the abstract content —, 1. descriptive.

This abstract in research paper is usually short (50-100 words). These abstracts have common sections, such as –

• Focus of research
• Overview of the study.

This type of research does not include detailed presentation of results and only mention results through a phrase without contributing numerical or statistical data . Descriptive abstracts guide readers on the nature of contents of the article.

2. Informative

This abstract gives the essence of what the report is about and it is usually about 200 words. These abstracts have common sections, such as –

• Aim or purpose

This abstract provides an accurate data on the contents of the work, especially on the results section.

Based on the writing format —

1. structured.

This type of abstract has a paragraph for each section: Introduction, Materials and Methods, Results, and Conclusion. Also, structured abstracts are often required for informative abstracts.

2. Semi-structured

A semi-structured abstract is written in only one paragraph, wherein each sentence corresponds to a section. Furthermore, all the sections mentioned in the structured abstract are present in the semi-structured abstract.

3. Non-structured

In a non-structured abstract there are no divisions between each section. The sentences are included in a single paragraph. This type of presentation is ideal for descriptive abstracts.

Examples of Abstracts

Abstract example 1: clinical research.

Neutralization of Omicron BA.1, BA.2, and BA.3 SARS-CoV-2 by 3 doses of BNT162b2 vaccine

Abstract: The newly emerged Omicron SARS-CoV-2 has several distinct sublineages including BA.1, BA.2, and BA.3. BA.1 accounts for the initial surge and is being replaced by BA.2, whereas BA.3 is at a low prevalence at this time. Here we report the neutralization of BNT162b2-vaccinated sera (collected 1 month after dose 3) against the three Omicron sublineages. To facilitate the neutralization testing, we have engineered the complete BA.1, BA.2, or BA.3 spike into an mNeonGreen USA-WA1/2020 SARS-CoV-2. All BNT162b2-vaccinated sera neutralize USA-WA1/2020, BA.1-, BA.2-, and BA.3-spike SARS-CoV-2s with titers of >20; the neutralization geometric mean titers (GMTs) against the four viruses are 1211, 336, 300, and 190, respectively. Thus, the BA.1-, BA.2-, and BA.3-spike SARS-CoV-2s are 3.6-, 4.0-, and 6.4-fold less efficiently neutralized than the USA-WA1/2020, respectively. Our data have implications in vaccine strategy and understanding the biology of Omicron sublineages.

Type of Abstract: Informative and non-structured

Abstract Example 2: Material Science and Chemistry

Breaking the nanoparticle’s dispersible limit via rotatable surface ligands

Abstract: Achieving versatile dispersion of nanoparticles in a broad range of solvents (e.g., water, oil, and biofluids) without repeatedly recourse to chemical modifications are desirable in optoelectronic devices, self-assembly, sensing, and biomedical fields. However, such a target is limited by the strategies used to decorate nanoparticle’s surface properties, leading to a narrow range of solvents for existing nanoparticles. Here we report a concept to break the nanoparticle’s dispersible limit via electrochemically anchoring surface ligands capable of sensing the surrounding liquid medium and rotating to adapt to it, immediately forming stable dispersions in a wide range of solvents (polar and nonpolar, biofluids, etc.). Moreover, the smart nanoparticles can be continuously electrodeposited in the electrolyte, overcoming the electrode surface-confined low throughput limitation of conventional electrodeposition methods. The anomalous dispersive property of the smart Ag nanoparticles enables them to resist bacteria secreted species-induced aggregation and the structural similarity of the surface ligands to that of the bacterial membrane assists them to enter the bacteria, leading to high antibacterial activity. The simple but massive fabrication process and the enhanced dispersion properties offer great application opportunities to the smart nanoparticles in diverse fields.

Type of Abstract: Descriptive and non-structured

Abstract Example 3: Clinical Toxicology

Evaluation of dexmedetomidine therapy for sedation in patients with toxicological events at an academic medical center

Introduction: Although clinical use of dexmedetomidine (DEX), an alpha2-adrenergic receptor agonist, has increased, its role in patients admitted to intensive care units secondary to toxicological sequelae has not been well established.

Objectives: The primary objective of this study was to describe clinical and adverse effects observed in poisoned patients receiving DEX for sedation.

Methods: This was an observational case series with retrospective chart review of poisoned patients who received DEX for sedation at an academic medical center. The primary endpoint was incidence of adverse effects of DEX therapy including bradycardia, hypotension, seizures, and arrhythmias. For comparison, vital signs were collected hourly for the 5 h preceding the DEX therapy and every hour during DEX therapy until the therapy ended. Additional endpoints included therapy duration; time within target Richmond Agitation Sedation Score (RASS); and concomitant sedation, analgesia, and vasopressor requirements.

Results: Twenty-two patients were included. Median initial and median DEX infusion rates were similar to the commonly used rates for sedation. Median heart rate was lower during the therapy (82 vs. 93 beats/minute, p < 0.05). Median systolic blood pressure before and during therapy was similar (111 vs. 109 mmHg, p = 0.745). Five patients experienced an adverse effect per study definitions during therapy. No additional adverse effects were noted. Median time within target RASS and duration of therapy was 6.5 and 44.5 h, respectively. Seventeen patients (77%) had concomitant use of other sedation and/or analgesia with four (23%) of these patients requiring additional agents after DEX initiation. Seven patients (32%) had concomitant vasopressor support with four (57%) of these patients requiring vasopressor support after DEX initiation.

Conclusion: Common adverse effects of DEX were noted in this study. The requirement for vasopressor support during therapy warrants further investigation into the safety of DEX in poisoned patients. Larger, comparative studies need to be performed before the use of DEX can be routinely recommended in poisoned patients.

Keywords: Adverse effects; Alpha2-adrenergic receptor agonist; Overdose; Safety.

Type of Abstract: Informative and structured .

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Organizing Your Social Sciences Research Paper

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An abstract summarizes, usually in one paragraph of 300 words or less, the major aspects of the entire paper in a prescribed sequence that includes: 1) the overall purpose of the study and the research problem(s) you investigated; 2) the basic design of the study; 3) major findings or trends found as a result of your analysis; and, 4) a brief summary of your interpretations and conclusions.

Writing an Abstract. The Writing Center. Clarion University, 2009; Writing an Abstract for Your Research Paper. The Writing Center, University of Wisconsin, Madison; Koltay, Tibor. Abstracts and Abstracting: A Genre and Set of Skills for the Twenty-first Century . Oxford, UK: Chandos Publishing, 2010;

Importance of a Good Abstract

Sometimes your professor will ask you to include an abstract, or general summary of your work, with your research paper. The abstract allows you to elaborate upon each major aspect of the paper and helps readers decide whether they want to read the rest of the paper. Therefore, enough key information [e.g., summary results, observations, trends, etc.] must be included to make the abstract useful to someone who may want to examine your work.

How do you know when you have enough information in your abstract? A simple rule-of-thumb is to imagine that you are another researcher doing a similar study. Then ask yourself: if your abstract was the only part of the paper you could access, would you be happy with the amount of information presented there? Does it tell the whole story about your study? If the answer is "no" then the abstract likely needs to be revised.

Farkas, David K. “A Scheme for Understanding and Writing Summaries.” Technical Communication 67 (August 2020): 45-60;  How to Write a Research Abstract. Office of Undergraduate Research. University of Kentucky; Staiger, David L. “What Today’s Students Need to Know about Writing Abstracts.” International Journal of Business Communication January 3 (1966): 29-33; Swales, John M. and Christine B. Feak. Abstracts and the Writing of Abstracts . Ann Arbor, MI: University of Michigan Press, 2009.

Structure and Writing Style

I.  Types of Abstracts

To begin, you need to determine which type of abstract you should include with your paper. There are four general types.

Critical Abstract A critical abstract provides, in addition to describing main findings and information, a judgment or comment about the study’s validity, reliability, or completeness. The researcher evaluates the paper and often compares it with other works on the same subject. Critical abstracts are generally 400-500 words in length due to the additional interpretive commentary. These types of abstracts are used infrequently.

Descriptive Abstract A descriptive abstract indicates the type of information found in the work. It makes no judgments about the work, nor does it provide results or conclusions of the research. It does incorporate key words found in the text and may include the purpose, methods, and scope of the research. Essentially, the descriptive abstract only describes the work being summarized. Some researchers consider it an outline of the work, rather than a summary. Descriptive abstracts are usually very short, 100 words or less. Informative Abstract The majority of abstracts are informative. While they still do not critique or evaluate a work, they do more than describe it. A good informative abstract acts as a surrogate for the work itself. That is, the researcher presents and explains all the main arguments and the important results and evidence in the paper. An informative abstract includes the information that can be found in a descriptive abstract [purpose, methods, scope] but it also includes the results and conclusions of the research and the recommendations of the author. The length varies according to discipline, but an informative abstract is usually no more than 300 words in length.

Highlight Abstract A highlight abstract is specifically written to attract the reader’s attention to the study. No pretense is made of there being either a balanced or complete picture of the paper and, in fact, incomplete and leading remarks may be used to spark the reader’s interest. In that a highlight abstract cannot stand independent of its associated article, it is not a true abstract and, therefore, rarely used in academic writing.

II.  Writing Style

Use the active voice when possible , but note that much of your abstract may require passive sentence constructions. Regardless, write your abstract using concise, but complete, sentences. Get to the point quickly and always use the past tense because you are reporting on a study that has been completed.

Abstracts should be formatted as a single paragraph in a block format and with no paragraph indentations. In most cases, the abstract page immediately follows the title page. Do not number the page. Rules set forth in writing manual vary but, in general, you should center the word "Abstract" at the top of the page with double spacing between the heading and the abstract. The final sentences of an abstract concisely summarize your study’s conclusions, implications, or applications to practice and, if appropriate, can be followed by a statement about the need for additional research revealed from the findings.

Composing Your Abstract

Although it is the first section of your paper, the abstract should be written last since it will summarize the contents of your entire paper. A good strategy to begin composing your abstract is to take whole sentences or key phrases from each section of the paper and put them in a sequence that summarizes the contents. Then revise or add connecting phrases or words to make the narrative flow clearly and smoothly. Note that statistical findings should be reported parenthetically [i.e., written in parentheses].

Before handing in your final paper, check to make sure that the information in the abstract completely agrees with what you have written in the paper. Think of the abstract as a sequential set of complete sentences describing the most crucial information using the fewest necessary words. The abstract SHOULD NOT contain:

• A catchy introductory phrase, provocative quote, or other device to grab the reader's attention,
• Lengthy background or contextual information,
• Redundant phrases, unnecessary adverbs and adjectives, and repetitive information;
• Acronyms or abbreviations,
• References to other literature [say something like, "current research shows that..." or "studies have indicated..."],
• Using ellipticals [i.e., ending with "..."] or incomplete sentences,
• Jargon or terms that may be confusing to the reader,
• Citations to other works, and
• Any sort of image, illustration, figure, or table, or references to them.

Abstract. Writing Center. University of Kansas; Abstract. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College; Abstracts. The Writing Center. University of North Carolina; Borko, Harold and Seymour Chatman. "Criteria for Acceptable Abstracts: A Survey of Abstracters' Instructions." American Documentation 14 (April 1963): 149-160; Abstracts. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Hartley, James and Lucy Betts. "Common Weaknesses in Traditional Abstracts in the Social Sciences." Journal of the American Society for Information Science and Technology 60 (October 2009): 2010-2018; Koltay, Tibor. Abstracts and Abstracting: A Genre and Set of Skills for the Twenty-first Century. Oxford, UK: Chandos Publishing, 2010; Procter, Margaret. The Abstract. University College Writing Centre. University of Toronto; Riordan, Laura. “Mastering the Art of Abstracts.” The Journal of the American Osteopathic Association 115 (January 2015 ): 41-47; Writing Report Abstracts. The Writing Lab and The OWL. Purdue University; Writing Abstracts. Writing Tutorial Services, Center for Innovative Teaching and Learning. Indiana University; Koltay, Tibor. Abstracts and Abstracting: A Genre and Set of Skills for the Twenty-First Century . Oxford, UK: 2010; Writing an Abstract for Your Research Paper. The Writing Center, University of Wisconsin, Madison.

Writing Tip

Never Cite Just the Abstract!

Citing to just a journal article's abstract does not confirm for the reader that you have conducted a thorough or reliable review of the literature. If the full-text is not available, go to the USC Libraries main page and enter the title of the article [NOT the title of the journal]. If the Libraries have a subscription to the journal, the article should appear with a link to the full-text or to the journal publisher page where you can get the article. If the article does not appear, try searching Google Scholar using the link on the USC Libraries main page. If you still can't find the article after doing this, contact a librarian or you can request it from our free i nterlibrary loan and document delivery service .

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Research Paper Abstract – Writing Guide and Examples

Table of Contents

Research Paper Abstract

Research Paper Abstract is a brief summary of a research pape r that describes the study’s purpose, methods, findings, and conclusions . It is often the first section of the paper that readers encounter, and its purpose is to provide a concise and accurate overview of the paper’s content. The typical length of an abstract is usually around 150-250 words, and it should be written in a concise and clear manner.

Research Paper Abstract Structure

The structure of a research paper abstract usually includes the following elements:

• Background or Introduction: Briefly describe the problem or research question that the study addresses.
• Methods : Explain the methodology used to conduct the study, including the participants, materials, and procedures.
• Results : Summarize the main findings of the study, including statistical analyses and key outcomes.
• Conclusions : Discuss the implications of the study’s findings and their significance for the field, as well as any limitations or future directions for research.
• Keywords : List a few keywords that describe the main topics or themes of the research.

How to Write Research Paper Abstract

Here are the steps to follow when writing a research paper abstract:

• Start by reading your paper: Before you write an abstract, you should have a complete understanding of your paper. Read through the paper carefully, making sure you understand the purpose, methods, results, and conclusions.
• Identify the key components : Identify the key components of your paper, such as the research question, methods used, results obtained, and conclusion reached.
• Write a draft: Write a draft of your abstract, using concise and clear language. Make sure to include all the important information, but keep it short and to the point. A good rule of thumb is to keep your abstract between 150-250 words.
• Use clear and concise language : Use clear and concise language to explain the purpose of your study, the methods used, the results obtained, and the conclusions drawn.
• Emphasize your findings: Emphasize your findings in the abstract, highlighting the key results and the significance of your study.
• Revise and edit: Once you have a draft, revise and edit it to ensure that it is clear, concise, and free from errors.
• Check the formatting: Finally, check the formatting of your abstract to make sure it meets the requirements of the journal or conference where you plan to submit it.

Research Paper Abstract Examples

Research Paper Abstract Examples could be following:

Title : “The Effectiveness of Cognitive-Behavioral Therapy for Treating Anxiety Disorders: A Meta-Analysis”

Abstract : This meta-analysis examines the effectiveness of cognitive-behavioral therapy (CBT) in treating anxiety disorders. Through the analysis of 20 randomized controlled trials, we found that CBT is a highly effective treatment for anxiety disorders, with large effect sizes across a range of anxiety disorders, including generalized anxiety disorder, panic disorder, and social anxiety disorder. Our findings support the use of CBT as a first-line treatment for anxiety disorders and highlight the importance of further research to identify the mechanisms underlying its effectiveness.

Title : “Exploring the Role of Parental Involvement in Children’s Education: A Qualitative Study”

Abstract : This qualitative study explores the role of parental involvement in children’s education. Through in-depth interviews with 20 parents of children in elementary school, we found that parental involvement takes many forms, including volunteering in the classroom, helping with homework, and communicating with teachers. We also found that parental involvement is influenced by a range of factors, including parent and child characteristics, school culture, and socio-economic status. Our findings suggest that schools and educators should prioritize building strong partnerships with parents to support children’s academic success.

Title : “The Impact of Exercise on Cognitive Function in Older Adults: A Systematic Review and Meta-Analysis”

Abstract : This paper presents a systematic review and meta-analysis of the existing literature on the impact of exercise on cognitive function in older adults. Through the analysis of 25 randomized controlled trials, we found that exercise is associated with significant improvements in cognitive function, particularly in the domains of executive function and attention. Our findings highlight the potential of exercise as a non-pharmacological intervention to support cognitive health in older adults.

When to Write Research Paper Abstract

The abstract of a research paper should typically be written after you have completed the main body of the paper. This is because the abstract is intended to provide a brief summary of the key points and findings of the research, and you can’t do that until you have completed the research and written about it in detail.

Once you have completed your research paper, you can begin writing your abstract. It is important to remember that the abstract should be a concise summary of your research paper, and should be written in a way that is easy to understand for readers who may not have expertise in your specific area of research.

Purpose of Research Paper Abstract

The purpose of a research paper abstract is to provide a concise summary of the key points and findings of a research paper. It is typically a brief paragraph or two that appears at the beginning of the paper, before the introduction, and is intended to give readers a quick overview of the paper’s content.

The abstract should include a brief statement of the research problem, the methods used to investigate the problem, the key results and findings, and the main conclusions and implications of the research. It should be written in a clear and concise manner, avoiding jargon and technical language, and should be understandable to a broad audience.

The abstract serves as a way to quickly and easily communicate the main points of a research paper to potential readers, such as academics, researchers, and students, who may be looking for information on a particular topic. It can also help researchers determine whether a paper is relevant to their own research interests and whether they should read the full paper.

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Chapter 7: Writing Abstracts

Defining Abstracts

A recent handbook on academic writing defines abstract as “a short form, or synopsis, of a larger text or project, describing work that is proposed, in development, or completed” [1] . This definition underscores the chronology of an abstract’s use – future work, current work, or finished products. These varied uses of an abstract contribute to its diverse forms because what is included in an abstract is heavily influenced by its intended function. Basically, a good abstract should have the following features: accurate, self-contained, concise and specific, non-evaluative, and coherent and readable (American Psychological Association, 2001).Other scholars have defined abstracts in other ways, including, but not limited to, the following:

• a description or factual summary of the much longer report, and is meant to give the reader an exact and concise knowledge of the full article [2]
• an abbreviated, accurate representation of the contents of a document [3]

Still others have noted what an abstract should contain, including descriptors such as accurate, concise, non-evaluative,   coherent and readable [4] by categorizing them into sub-types [5] or functional purposes [6] . Categories of abstracts include:

• Informative (summary of an article)
• Indicative/descriptive (explains general information but usually excludes results)
• Structured (summary that uses headings for each section of the RA)

As the first type (informative abstract) is the most common form of abstract [7] , and the one most closely associated with the topic of this book (research articles), we will focus our attention on this type. Nevertheless, it is important to point out that the third type (structured abstracts) could be a sub-classification for either the informative or indicative type. In other words, either type 1 or type 2 could be presented in a structured format.

So, now that we have narrowed down the type of abstract that we are referring to, let’s examine the purpose of that type. In their seminal book on academic writing, Swales and Feak (2009) note two major functions of this particular kind of abstract:

• Previewing or summarizing academic work
• Proposing academic work

That work may be a research article, a thesis or dissertation, a conference presentation, or a chapter of a book. In order to determine what is included in your abstract, you’ll need to first answer some wh -question s :

• Who is the audience for the abstract and what is their level of expertise on the topic or within the discipline?
• Why was the research undertaken (e.g., w hat is the motivation/justification for the study)?
• What are the research questions or hypotheses?
• What methods were used?
• What were the general findings/conclusions?
• What are the implications for the subject matter or field?
• Where will the abstract be published?
• How should the abstract be formatted?

A successful abstract answers these questions as a way of becoming a stand-alone document [8] .

Now that we’ve explored the basic definition of an abstract and explained what it contains, we’ll divide our discussion into two parts:

•  Functions of an abstract (examining the purposes and goals for writing one); and
• Forms of an abstract (emphasizing the various language issues that might arise as you’re writing).
• Curry, M. J., He, F., Weijia, L., Zhang, T., Zuo, Y., Altalouli, M., and Ayesh, J. (2021). An A to W of Academic Literacy: Key Concepts and Practices for Graduate Students.   Ann Arbor: University of Michigan Press. ↵
• Bhatia, V. K. (1993). Analyzing genre: Language use in professional settings. London: Longman. ↵
• ANSI. (1979). The American standard for writing abstracts. New York: ANSI Publication. ↵
• American Psychological Association. (2010). Publication manual of the American psychological association (6th ed.). https://www. apa.org/pubs/books/4200066 ↵
• Gladon, R. J., Graves, W. R., & Kelly, J. M. (2011). Getting published in the life sciences . John Wiley & Sons. ↵
• Swales, J. M., & Feak, C. B. (2004).  Academic writing for graduate students: Essential tasks and skills  (Vol. 1). Ann Arbor, MI: University of Michigan Press. ↵
• Gladon, R. J., Graves, W. R., & Kelly, J. M. (2011).  Getting published in the life sciences . John Wiley & Sons. ↵

Preparing to Publish Copyright © 2023 by Sarah Huffman; Elena Cotos; and Kimberly Becker is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

Abstracts are formal summaries writers prepare of their completed work. Abstracts are important tools for readers, especially as they try to keep up with an explosion of information in print and on the Internet.

Definition of Abstract

Abstracts, like all summaries, cover the main points of a piece of writing. Unlike executive summaries written for non-specialist audiences, abstracts use the same level of technical language and expertise found in the article itself. And unlike general summaries which can be adapted in many ways to meet various readers' and writers' needs, abstracts are typically 150 to 250 words and follow set patterns.

Because readers use abstracts for set purposes, these purposes further define abstracts.

Purposes for Abstracts

Abstracts typically serve five main goals:

Help readers decide if they should read an entire article

Readers use abstracts to see if a piece of writing interests them or relates to a topic they're working on. Rather than tracking down hundreds of articles, readers rely on abstracts to decide quickly if an article is pertinent. Equally important, readers use abstracts to help them gauge the sophistication or complexity of a piece of writing. If the abstract is too technical or too simplistic, readers know that the article will also be too technical or too simplistic.

Help readers and researchers remember key findings on a topic

Even after reading an article, readers often keep abstracts to remind them of which sources support conclusions. Because abstracts include complete bibliographic citations, they are helpful when readers begin writing up their research and citing sources.

Help readers understand a text by acting as a pre-reading outline of key points

Like other pre-reading strategies, reading an abstract before reading an article helps readers anticipate what's coming in the text itself. Using an abstract to get an overview of the text makes reading the text easier and more efficient.

Index articles for quick recovery and cross-referencing

Even before computers made indexing easier, abstracts helped librarians and researchers find information more easily. With so many indexes now available electronically, abstracts with their keywords are even more important because readers can review hundreds of abstracts quickly to find the ones most useful for their research. Moreover, cross-referencing through abstracts opens up new areas of research that readers might not have known about when they started researching a topic.

Allow supervisors to review technical work without becoming bogged down in details

Although many managers and supervisors will prefer the less technical executive summary, some managers need to keep abreast of technical work. Research shows that only 15% of managers read the complete text of reports or articles. Most managers, then, rely on the executive summary or abstract as the clearest overview of employees' work.

Types of Abstracts

Although you'll see two types of abstracts—informative and descriptive—most writers now provide informative abstracts of their work.

Descriptive Abstract

A descriptive abstract outlines the topics covered in a piece of writing so the reader can decide whether to read the entire document. In many ways, the descriptive abstract is like a table of contents in paragraph form. Unlike reading an informative abstract, reading a descriptive abstract cannot substitute for reading the document because it does not capture the content of the piece. Nor does a descriptive abstract fulfill the other main goals of abstracts as well as informative abstracts do. For all these reasons, descriptive abstracts are less and less common. Check with your instructor or the editor of the journal to which you are submitting a paper for details on the appropriate type of abstract for your audience.

Informative Abstract

An informative abstract provides detail about the substance of a piece of writing because readers will sometimes rely on the abstract alone for information. Informative abstracts typically follow this format:

• Identifying information (bibliographic citation or other identification of the document)
• Concise restatement of the main point, including the initial problem or other background
• Methodology (for experimental work) and key findings
• Major conclusions

Informative abstracts usually appear in indexes like Dissertation Abstracts International ; however, your instructor may ask you to write one as a cover sheet to a paper as well.

A More Detailed Comparison of Descriptive vs. Informative

The typical distinction between descriptive and informative is that the descriptive abstract is like a table of contents whereas the informative abstract lays out the content of the document. To show the differences as clearly as possible, we compare a shortened Table of Contents for a 100-page legal argument presented by the FDA and an informative abstract of the judge's decision in the case.

Related Information: Informative Abstract of the Decision

Summary of Federal District Court's Ruling on FDA's Jurisdiction Over, and Regulation of, Cigarettes and Smokeless Tobacco

May 2, 1997

http://www.fda.gov/opacom/backgrounders/bg97-9.html

On April 25, 1997, Judge William Osteen of the Federal District Court in Greensboro, North Carolina, ruled that FDA has jurisdiction under the Federal Food, Drug, and Cosmetic Act to regulate nicotine-containing cigarettes and smokeless tobacco. The Court held that "tobacco products fit within the FDCA's definitions of drug and device, and that FDA can regulate cigarettes and smokeless tobacco products as drug delivery devices under the combination product and restricted device provisions of the Act.

With respect to the tobacco rule, the Court upheld all restrictions involving youth access and labeling, including two access provisions that went into effect Feb. 28: (1) the prohibition on sales of cigarettes and smokeless tobacco products to children and adolescents under 18, and (2) the requirement that retailers check photo identification of customers who are under 27 years of age.

The Court also upheld additional access and labeling restrictions originally scheduled to go into effect Aug. 28, 1997, including a prohibition on self-service displays and the placement of vending machines where children have access to them. The Court also upheld the ban on distribution of free samples, the sale of so-called kiddie packs of less than 20 cigarettes, and the sale of individual cigarettes. However, the Court delayed implementation of the provisions that have not yet gone into effect pending further action by the Court.

The Court invalidated on statutory grounds FDA's restrictions on the advertising and promotion of cigarettes and smokeless tobacco. Judge Osteen found that the statutory provision relied on by FDA, section 520(e) of the Act (21 U.S.C. 360j(e)), does not provide FDA with authority to regulate the advertising and promotion of tobacco products. Specifically, the Court found that the authority in that section to set "such other conditions" on the sale, distribution, or use of a restricted device does not encompass advertising restrictions. Because Judge Osteen based his ruling on the advertising provisions on purely statutory grounds, he declined to consider the First Amendment challenge to those parts of the rule. The government is appealing the advertising portion of the ruling.

(accessed January 26, 1998)

Related Information: Sample Descriptive Abstract

"Bonanza Creek LTER [Long Term Ecological Research] 1997 Annual Progress Report" http://www.lter.alaska.edu/pubs/1997pr.html

We continue to document all major climatic variables in the uplands and floodplains at Bonanza Creek. In addition, we have documented the successional changes in microclimate in 9 successional upland and floodplain stands at Bonanza Creek (BNZ) and in four elevational locations at Caribou-Poker Creek (CPCRW). A sun photometer is operated cooperatively with NASA to estimate high-latitude atmospheric extinction coefficients for remote-sensing images. Electronic data are collected monthly and loaded into a database which produces monthly summaries. The data are checked for errors, documented, and placed on-line on the BNZ Web page. Climate data for the entire state have been summarized for the period of station records and krieged to produce maps of climate zones for Alaska based on growing-season and annual temperature and precipitation.

Related Information: Sample Informative Abstract based on Experimental Work

Palmquist, M., & Young, R. (1992). The Notion of Giftedness and Student Expectations About Writing. Written Communication, 9(1), 137-168.

Research reported by Daly, Miller, and their colleagues suggests that writing apprehension is related to a number of factors we do not yet fully understand. This study suggests that included among those factors should be the belief that writing ability is a gift. Giftedness, as it is referred to in the study, is roughly equivalent to the Romantic notion of original genius. Results from a survey of 247 postsecondary students enrolled in introductory writing courses at two institutions indicate that higher levels of belief in giftedness are correlated with higher levels of writing apprehension, lower self-assessments of writing ability, lower levels of confidence in achieving proficiency in certain writing activities and genres, and lower self-assessments of prior experience with writing instructors. Significant differences in levels of belief in giftedness were also found among students who differed in their perceptions of the most important purpose for writing, with students who identified "to express your own feelings about something" as the most important purpose for writing having the highest mean level of belief in giftedness. Although the validity of the notion that writing ability is a special gift is not directly addressed, the results suggest that belief in giftedness may have deleterious effects on student writers.

Related Information: Sample Informative Abstract based on Non-experimental Work

Environmental Impact Statement. Federal Register: December 11, 1997 (Volume 62, Number 238). "Endangered and Threatened Wildlife and Plants; Proposed Revision of Special Regulations for the Gray Wolf." Fish and Wildlife Service, Department of the Interior.

http://www.epa.gov/fedrgstr/EPA-SPECIES/1997/December/Day-11/e32440.htm

On November 22, 1994, the U.S. Fish and Wildlife Service published special rules to establish nonessential experimental populations of gray wolves (Canis lupus) in Yellowstone National Park and central Idaho. The nonessential experimental population areas include all of Wyoming, most of Idaho, and much of central and southern Montana. A close reading of the special regulations indicates that, unintentionally, the language reads as though wolf control measures apply only outside of the experimental population area. This proposed revision is intended to amend language in the special regulations so that it clearly applies within the Yellowstone nonessential experimental population area and the central Idaho nonessential experimental population area. This proposed change will not affect any of the assumptions and earlier analysis made in the environmental impact statement or other portions of the special rules. (accessed January 26, 1998)

Related Information: Table of Contents of the Argument

Court Brief (edited Table of Contents) Filed Dec. 2, 1996, by the Department of Justice in defense of FDA's determination of jurisdiction over cigarettes and smokeless tobacco products and its regulations restricting those products to protect children and adolescents. http://www.usdoj.gov/civil/cases/tocnts.htm Statement of the matter before the court; statement of material facts

• The health effects of cigarettes and smokeless tobacco
• The evidence that nicotine in cigarettes and smokeless tobacco "affect[s] the structure or any function of the body"
• The evidence that the pharmacological effects of nicotine in cigarettes and smokeless tobacco are "intended"
• The evidence that cigarettes and smokeless tobacco are "combination products"
• Cigarettes and smokeless tobacco as combination products
• The regulatory goal
• Youth access restrictions
• Advertising and promotion restrictions

Questions Presented

Congress has not precluded FDA from regulating cigarettes and smokeless tobacco under the FDCA.

• Standard of review: Chevron, U.S.A., Inc. v. Natural Resources Defense Council, Inc.
• Chevron, step one
• Chevron, step two: FDA's application of the FDCA to cigarettes and smokeless tobacco is "based on a permissible construction of the statute"
• No statute, or combination of statutes, can override the FDCA in the absence of express preclusion or other clearly expressed Congressional intent
• Federal Cigarette Labeling and Advertising Act
• Comprehensive Smokeless Tobacco Health Education Act
• Alcohol, Drug Abuse, and Mental Health Administration Reorganization Act
• The separation of powers doctrine does not prohibit FDA's regulation of tobacco products

Nicotine in cigarettes and smokeless tobacco is a drug, and cigarettes and smokeless tobacco are drug delivery devices under the FDCA.

• Cigarettes and smokeless tobacco "affect the structure or any function of the body"
• Nicotine's effects are intended by the manufacturers
• Cigarettes and smokeless tobacco are combination drug/device products and may be regulated under the Act's device authorities
• FDA's application of device provisions to cigarettes and smokeless tobacco is reasonable

The restrictions imposed by FDA on advertising and other promotion of cigarettes and smokeless tobacco are fully consistent with the first amendment.

• The Central Hudson standard and the proper First Amendment analysis
• Recent rulings by the Supreme Court in 44 Liquormart, and by the Fourth Circuit in Anheuser-Busch and Penn Advertising
• In applying the Central Hudson test, the Court's decision should be based on the record created by the Agency, and the reasonable determinations made by FDA are not to be disregarded
• The government's interest here is plainly substantial
• FDA has demonstrated that advertising affects tobacco use by minors, to the detriment of the public health, and that the agency's restrictions on advertising of these products should alleviate that problem to a material degree
• The restrictions are designed to preserve the flow of information to lawful consumers
• The availability of non-Speech related regulatory alternatives does not invalidate FDA's regulations
• Each of FDA's individual advertising restrictions is narrowly tailored

Bibliographic Citation or Identification

As more and more databases are stored and accessed electronically, abstracts are more frequently reproduced apart from the entire article or document. In a large corporation or government entity, for instance, an abstract of a progress report might be circulated and stored in a dozen offices or on multiple computers even though the report itself is filed in only one location. Clear identification is crucial so that readers who want to review the entire text can locate it from the information given with the abstract.

Depending on where your writing is printed and stored, you'll need to include different kinds of identifying information with your abstract:

Bibliographic Citation

If your writing will be printed and disseminated as a book, part of a book, or an article in a journal or magazine, give a full bibliographic citation that includes all the publication information so that readers can find print copies of the article (even if your abstract will appear in unrelated electronic databases). For example, an abstract for a journal article begins with this citation:

Harris, L.D., & Wambeam, C.A. (1996). The Internet-Based Composition Classroom: A Study in Pedagogy. Computers and Composition , 13(3), 353-372.

Organizational Identification

If your abstract is part of a corporate or government document that will not be printed or disseminated outside the organization, you need only include your name, the title of the document, its completion date, a project name (if you produced the document as part of the work on a larger project), and an authorization or organizational number (if there is one).

If your abstract will be circulated outside your organization (for instance, if you work for a consulting company that writes reports for other companies), add to the information above: your company or organization name, the name of the organization that commissioned the document, a contract number (if there is one), a security classification (as appropriate for government documents), and key words to help in cataloguing your abstract.

Internet Citation

If you're "publishing" your own work on the World Wide Web or if your writing will appear on the Internet as part of a full-text electronic database, you can save readers time by citing the Internet address for the full text. Typically, writers note both print publication information and the URL (universal resource locator)--the http or www address--with the abstract.

For example, one of the abstracts cited in this module has this citation that includes both bibliographic information and the Internet address:

Environmental Impact Statement. "Endangered and Threatened Wildlife and Plants; Proposed Revision of Special Regulations for the Gray Wolf." Federal Register: December 11, 1997 (Volume 62, Number 238). Fish and Wildlife Service, Department of the Interior. http://www.epa.gov/fedrgstr/EPA-SPECIES/1997/December/Day-11/e32440.htm

Processes for Writing Abstracts

Unless you work for an abstracting service, you'll usually write abstracts of your own finished work. This section explores some strategies for drafting your abstract.

Cut and Paste Method

Beginning with reading may seem odd since you wrote the paper, but it can frequently be the fastest way to write an abstract because it allows you to "lift" as much of the abstract from your original paper as possible.

• As you read through your own paper, highlight or copy sentences which summarize the entire paper or individual sections or sub-points of your main argument.
• Write (or copy) a sentence that summarizes the main point.
• Add sentences that summarize sections (or write new sentences for sections that lack a concise summary sentence).
• If you're writing a descriptive abstract, you're ready to begin revising.
• If you're writing an informative abstract, look through your paper for details, particularly of key findings or major supporting arguments and major conclusions. Paste these into your abstract and proceed to editing for consistency and length--frequently in the original "cuts" you will still have more detail than is necessary in an abstract.

Outlining Method

Frequently, the best place to start writing an abstract is to first make an outline of the paper to serve as a rough draft of your abstract. The most efficient way to do this is to write what Kenneth Bruffee calls a descriptive or "backwards" outline.

Backwards Outline Instructions

• Read through each paragraph of your paper and write one phrase or sentence that answers the question "what does this paragraph do?"
• Take your list of descriptions for each paragraph and look for connections: i.e., do these 3 or 5 paragraphs do something similar? What is it?
• When you've reduced your outline to 4 or 5 accurate generalizations, you most likely have a descriptive abstract.
• If you're writing an informative abstract, fill in key details about your content.

Detailed Backwards Outline

Because informative abstracts need more detail, the regular backwards outline may not be as useful a strategy for this type of abstract. Instead, do a backwards outline on the left-hand side of a piece of paper. Then, on the right-hand side, answer the question "what does this paragraph say?" for each paragraph in the paper. Then complete the steps below:

• Take your first column and generalize down to 4-5 sentences about what the paper does.
• Use these sentences as topic sentences for the paragraphs in your abstract.
• Now, go to your second column and choose appropriate content for each section you outlined in #2. In other words, use the right-hand column to fill in details about what your paper says on each point outlined in #2.

Key Issues in Preparing Abstracts

Concise, accurate statement of the main idea.

Abstracts begin with a one-sentence summary of the main point of your paper and often introduce the problem the paper explores. Especially for papers based on research, the first sentence (or two) of the abstract announces the subject and scope of the research as well as the problem and your thesis. That's quite a bit of information to condense into a sentence or two, and so the concise statement of the main idea often takes careful revision.

Condensing Information for Non-research Papers

Most non-research papers can be summed up in a nutshell statement—a single sentence that boils down a paper to its essential main point and doesn't aim to capture details, supporting arguments, or types of proof.

One-sentence Summaries for Different Types of Papers Each of these non-research papers summarizes its main point based on its overall purpose:

This paper argues that the "saving democracy" rhetoric surrounding the Gulf War was merely a mask for the U.S.'s interest in keeping oil prices down. (From a political science paper whose purpose was to construct an argument .)

Ethnography and ethnology are the preferred research methods of many anthropologists. (From an anthropology paper whose purpose was to inform others about a research methodology.)

Condensing Information for Research Papers

In addition to stating the main point of the paper, research-based papers often need to set up the context and scope of the research as well. Setting the context includes stating the subject of your work as well as the problem that prompted your research. You might also refer to major researchers who have already done work on your topic as a way of setting the context. Remember, too, that your abstract must always include the main point of your paper, so don't neglect that focus as you work on stating the problem and context. Click on the following links to view examples of condensed statements in research papers:

Related Information: Example 1

In this example, note that the writer uses the names of key researchers to set the context and then focuses on what researchers don't yet know. After setting up the problem he's addressing in the research, the writer then announces the scope and focus of the paper in the second sentence:

Research reported by Daly, Miller, and their colleagues suggests that writing apprehension is related to a number of factors we do not yet fully understand. This study suggests that included among those factors should be the belief that writing ability is a gift. . . .

Related Information: Example 2

In this example, the writer announces the subject and scope of the research although he doesn't set context or suggest the problem that prompted the research. Depending on your ultimate goals for the abstract, you may be more successful with this approach that states the main point of your research paper even without setting context:

This report examines the changes in photosynthesis with an energy-producing carnivorous plants, specifically the Venus Fly Trap. (From a botany research report which involved original lab research.)

Beware of Focusing too Narrowly

No one who has ever written a concise restatement of a complex point will claim that the work was easy or straightforward. Usually, a writer needs to work back and forth between revising the restatement and re-reading the paper to be sure the main idea is stated accurately and clearly. Having worked so hard on that point, though, don't assume that you don't need to revise other parts of your abstract. In this example, the writer restates only the main point and dismisses key information from the 15-page document that should be included in the abstract.

Sample Abstract with Overly Narrow Focus

Community Right-to-Know Notice. Federal Register : January 23, 1998 (Volume 63, Number 15). "Phosphoric Acid; Toxic Chemical Release Reporting." Environmental Protection Agency (EPA).

http://www.epa.gov/fedrgstr/EPA-WASTE/1998/January/Day-23/f1644.htm

EPA is denying a petition to delete phosphoric acid from the reporting requirements under section 313 of the Emergency Planning and Community Right-to-Know Act of 1986 (EPCRA) and section 6607 of the Pollution Prevention Act of 1990 (PPA). This action is based on EPA's conclusion that phosphoric acid does not meet the deletion criteria of EPCRA section 313(d)(3). Specifically, EPA is denying this petition because EPA's review of the petition and available information resulted in the conclusion that phosphoric acid meets the listing criterion in EPCRA section 313(d)(2)(C) in that the phosphates that result from the neutralization of phosphoric acid may cause algal blooms. Algal blooms result in deoxygenation of the water and other effects that may ultimately lead to a number of serious adverse effects on ecosystems, including fish kills and changes in the composition of animal and plant life.

Test Your Ability to Judge Conciseness

The biggest problem writers run into when beginning an abstract is providing enough accurate information to convey an article's main idea without providing more detail than is needed. To test your ability to judge conciseness, read the detailed summary below, and then judge sample restatements of the main idea.

A Detailed Summary

A summary of: Jaime O'Neill, No Allusions in the Classroom, Newsweek , September 23, 1985.

Author Jaime O'Neill's article, "No Allusions in the Classroom," emphasizes the communication problem between teachers and students due to the students' lack of basic knowledge. The author supports this assertion by using a combination of personal experience, evidence obtained from recent polls, other professors' opinions, and the results of an experiment he conducted in his own classroom. The experiment O'Neill conducted was an ungraded eighty-six question "general knowledge" test issued to students on the first day of classes. On this test, "most students answered incorrectly far more often than they answered correctly." Incorrect answers included fallacies such as: "Darwin invented gravity" and "Leningrad was in Jamaica." Compounding the problem, students don't ask questions. This means that their teachers assume they know things that they do not. O'Neill shows the scope of this problem by showing that, according to their teachers, this seems to be a typical problem across the United States. O'Neill feels that common knowledge in a society is essential to communicate. Without this common knowledge, learning is made much more difficult because teacher and student do not have a common body of knowledge from which to draw. The author shows the deterioration of common knowledge through poll results, personal experience, other teachers' opinions, and his own experiment's results.

Related Information: Restatement Test Answers

• Yes - This sentence is inaccurate. While O'Neill was frustrated that his students didn't understand his allusions, the reason he was frustrated is because this lack of knowledge led to a communication problem. The problem of communication in the classroom is O'Neill's main point. The students' misunderstanding of allusions only illustrates this point.
• style="color:#0000ff;"> No - While O'Neill was frustrated that his students didn't understand his allusions, the reason he was frustrated is because this lack of knowledge led to a communication problem. The problem of communication in the classroom is O'Neill's main point. The students' misunderstanding of allusions only illustrates this point.
• Yes - While part of what O'Neill does is expose his students lack of knowledge, he is trying to demonstrate how that lack of knowledge leads to miscommunication. This sentence ignores the communication aspect of his main point.
• style="color:#0000ff;"> No - While part of what O'Neill does is expose his students lack of knowledge, he is trying to demonstrate how that lack of knowledge leads to miscommunication. This sentence ignores the communication aspect of his main point.
• style="color:#ff0000;"> Yes - While this statement is the most accurate so far (because it includes O'Neill's main point that a lack of common knowledge leads to miscommunication in the education process), it fails to show the connection between the two parts of the main point. Nor is it concise, because it separates those two parts of the main point with irrelevant information.
• No - While this statement is the most accurate so far (because it includes O'Neill's main point that a lack of common knowledge leads to miscommunication in the education process), it fails to show the connection between the two parts of the main point. Nor is it concise, because it separates those two parts of the main point with irrelevant information.
• style="color:#ff0000;"> Yes - Though this is the best we've seen so far, it could still be improved slightly by combining the two sentences to make it more concise.
• style="color:#0000ff;"> No - Though this is the best we've seen so far, it could still be improved slightly by combining the two sentences to make it more concise.
• style="color:#ff0000;"> Yes - This is an accurate and concise portrayal of O'Neill's main idea.
• style="color:#0000ff;"> No - This is an accurate and concise portrayal of O'Neill's main idea.

Related Information: Sample Restatements of Main Idea

To test your ability to find a balance between insufficient/inaccurate information and too much information, judge these sample restatements of the main idea of Jaime O'Neill's article.

Organization of Subpoints

After a summary of the main topic/problem/point of your paper or report, the abstract provides some detail on how you reached this point. The information provided in the abstract should follow the organization of the paper/report itself, almost like providing an outline for the reader in text form.

Related Information: Abstracts of Papers With Sub-Headings

When abstracting a paper that has headings and sub-headings, use those to help you identify key parts of the paper for your abstract. The following sample abstract, based on a research paper, uses the introduction, subjects, methods, results, and discussion headings from the original paper.

Note : The numbers in this abstract are for illustration purposes only. Number 1 designates a concise statement of the main point and "problem" prompting the research. Number 2 designates a summary of the selection of research subjects. Numbers 3 and 4 correspond to summaries of research methods and results, respectively, and Number 5 designates a summary of conclusions.

(1) "Students in networked classrooms" examines the question of whether students in a computer classroom are more likely to engage in peer review than students in traditional classrooms. (2) To test this question, two classes in each environment were studied. (3) An observer participated in all four classes for the duration of a semester, noting the nature of the interaction between students. Further, the observer interviewed both students and teachers about the nature of peer interaction and review. (4) Based on this sample, the study finds that students in computer classrooms are more likely, by a ratio of 2:1, to engage in peer review. (5) As a result of this finding, the paper concludes that for this one variable, computer classrooms are a more effective environment in which to teach writing.

Related Information: Abstracts of Papers Without Headings

When abstracting a paper that doesn't have headings and sub-headings, you must depend on your sense of major "chunks" in the text. As you'll see in the following example, this writer followed his concise statement of the main point with two sentences that focus on the two main arguments presented in the paper.

Note: The numbers in this abstract are for illustration purposes only. Number 1 designates a concise statement of the main point. Number 2 designates a summary statement of the first major argument and its support (five pages in the original article). Number 3 corresponds to a summary of the second major argument (two pages in the original), and Number 4 corresponds to the second argument's support (two pages).

(1) This paper argues that the "saving democracy" rhetoric surrounding the Gulf War was merely a mask for the U.S.'s interest in keeping oil prices down. (2) Such an argument is made by first describing the ways in which OPEC controlled oil prices by limiting sales, pointing specifically to how Kuwait was producing more oil than allowed by current OPEC agreements. (3) Second, the paper examines why the U.S. was invested in keeping good relations with the only two OPEC nations--Kuwait and Saudi Arabia--which frequently made trade agreements that benefited the U.S. (4) Finally, the paper does a close reading of the newspaper coverage of the Gulf War, examining how an early recognition of the monetary incentive changed to a democratic one when Bush ordered trOops to Saudi Arabia.

Use of Details

Details should be used judiciously in abstracts. Determining the amount of detail to provide depends a great deal on what type of abstract you are writing (informative or descriptive), the complexity of the paper, the word limit for the abstract, and the purposes you imagine readers of your abstract have for reading.

Complexity of the Paper

An abstract of a five-page progress report is likely to be shorter than an abstract for a 100-page Master's thesis, mainly because a long paper will include more main ideas, not just details. Keep in mind your readers and their reasons for reading your abstract. Focus your abstract on main ideas and provide only those details that are crucial for readers to understand your main points.

Word Limit for the Abstract

Some publications limit the length of abstracts to no more than 75 words. Others allow abstracts of complex documents to run up to 350 words. Be sure to check the publication's guidelines. If it has a low word limit, concentrate on capturing only main ideas from your paper. Don't try to cut a 200-word abstract down to 125 words by simply cutting connecting words, articles, etc. Even the shortest abstracts need to be readable, not telegraphic.

Readers' Purposes

If you're abstracting a report for technical managers, more detail is probably better. But if you're abstracting for a publication, readers will probably skim the abstract to see if they should read the article. Don't give readers more detail than you imagine they'll need to suit their primary goal in reading your abstract.

The five main purposes for abstracts are discussed elsewhere in this guide.

Revising and Editing

When you work from your own texts, abstracts are usually easy to draft. After all, most writers begin by cutting and pasting from the text itself. But abstracts can be tricky to revise and edit, particularly if you need to reach a low word count. In this section, we offer some advice on strategies for moving from a first draft of an abstract to a polished finished version.

Being Concise

When you cut and paste parts of your paper into your draft abstract, you may find that you initially include words and phrases that clarify the meaning in the paper but that simply add extra words in the abstract. Read your drafts carefully to cut unnecessary words. Note that the italicized words in the example can be cut without any loss of meaning in the abstract.

Palmquist, M. (1995). "Students in Networked Classrooms." Computers and Composition, 10 (4), 25-57.

"Students in networked classrooms" examines the question of whether students in a computer classroom are more likely to engage in peer review than students in traditional classrooms. To test this question , two classes in each environment were studied. An observer participated in all four classes for the duration of a semester, noting the nature of the interaction between students. Further, the observer interviewed both students and teachers about the nature of peer interaction and review. Based on this sample , the study finds that students in computer classrooms are more likely, by a ratio of 2:1, to engage in peer review. As a result of this finding , the paper concludes that, for this one variable, computer classrooms are a more effective environment in which to teach writing.

Smoothing out Connections

After you revise for conciseness, you will also want to be sure that each sentence in your abstract leads smoothly into the next. Sometimes you need to add or change transitional words and phrases. Sometimes you need to repeat key words. And sometimes, you need to combine sentences so that the connections between ideas are logically clear.

In our example, we combine what were sentences 2 and 3 and the last two sentences.

This paper examines whether students in a computer classroom are more likely to engage in peer review than students in a traditional classroom. Two classes in each environment were observed, with the participant-observer noting interactions between students. Further, the observer interviewed both students and teachers about peer interaction and review. The study finds that students in computer classrooms are twice as likely to engage in peer review and concludes that, for this one variable, computer classrooms are a more effective environment in which to teach writing.

Avoiding Telegraphic Abstracts

A highly condensed style can save money when you send a telegram but can make abstracts too dense. Don't cut articles ( a, an, the ) or connecting words that show relationships among ideas. Do repeat key words that show the content of your paper. Abstracts may be short, but they are meant to be readable.

Polishing Style

A reader looks at a summary for the sole purpose of getting a quick glimpse of the article. As a result, she doesn't want to waste time with a lot of phrases and words that do not further the meaning, nor is she interested in the summary writer's opinion. Accounting for audience needs, there are three generalizable principles about the style of summaries:

Use of "I"

Although use of "I" or "we" is acceptable in some disciplines, many frown on its use in abstracts. Read several abstracts in the publication you're submitting to or the databases you expect to include your abstract. When in doubt, do not use "I." Instead, use the following strategies:

Substitute for "I" Most abstracts make the paper/report/study the focus of the abstract and the grammatical subject of sentences in the abstract. Try these sentence openers:

• This paper explores. . .
• This study suggests. . .
• The report investigates. . . .

Passive Voice In combination with substitutes for "I," passive voice helps writers focus on the paper/report/study. Instead of, "I propose that ethnography is a better research method than case study" (active voice), the abstract might use: "Ethnography is proposed as a better research method than case study." (passive voice) Be sure to combine substitutes for "I" with passive voice to avoid overusing the passive.

Use of Quotes

When using your own sentences, you don't need to put them in quotation marks. For example, if your methods section begins with "Three methods were used to investigate this question: case study, surveys, and observational research," feel free to repeat the sentence in its entirety in the abstract. Remember, however, the following points:

• Revise the sentence so it makes sense in the abstract (i.e., if you have not summarized "this question" in the abstract, omit substitute for that phrase).
• Do not "lift" sentences which are not your own (i.e., quotes from other people's work).

Use of Literary Present Tense

Abstracts use the present tense because we assume texts speak to the present even if their authors are dead and/or wrote the words in the past. As a result, write about the text and/or author as if they were composing the words at the moment. For example:

• Hemingway describes Paris as......
• The Declaration of Independence states that all men are created equal.

Caution: This rule varies from discipline to discipline.

Abstracts in Specific Disciplines

Abstracts have common elements and uses, but read enough abstracts in your field to be aware of their specific details or differences. Choose from the examples to see additional sample abstracts. The abstract from Civil Engineering includes instructor comments.

Civil Engineering

MASK Engineering has designed a performing arts center for the CSU campus in order to provide a complex that will better serve the campus and the community. This facility will not only improve the performing arts programs on campus but will encourage students and community members to attend more cultural events in Fort Collins. The capacity of the new facility will exceed that of existing structures on campus, and the quality of sound and aesthetics will be improved. Some of the features included are a large performing hall, a coffee shop, a banquet hall, and a recording studio. The total area of the complex is 56,500 square feet split into three levels.

Instructor Comments

This abstract summarizes the accomplishments of the project and what it will do. It also summarizes some of the actual design and indicates that it's going to include a performing hall, coffee shop, banquet hall, and recording studio.

The writing, however, could be a little tighter in my opinion. The first sentence looks like it's around 20 words long. First of all, the expression "will better service the campus and the community" doesn't mean anything. What does "better serve" mean? A better choice might be, "MASK Engineering has designed a new Performing Arts Center that will meet the needs of the theater community," or something more specific.

The second sentence is typical. It gives the particular vehicle for doing the programs. However, it implies that the facility improves programs, and I'm not sure that's quite the right subject for this sentence. Furthermore, there's no point to the word "but" here. There's no contrast here, so this is a grammatical problem. This kind of problem can be avoided through careful reading, asking what each sentence accomplishes.

The abstract gets stronger after this. "The capacity of the new facility will exceed that" is very specific. "The quality, sound and aesthetics will be improved. Some of the features included are this..." The writers are very good at being descriptive. I think engineering students are more comfortable with the descriptive aspect of their material than with the lead-in.

LeCourt, D. (1996. Composition's Theoretical Irony: WAC as Uncritical Pedagogy. Journal of Advanced Composition, 16 (3), 389-406.

This paper argues that writing across the curriculum has failed to consider how its practices and theories serve to inscribe students within normalized discourses. As scholars such as Susan McLeod, Anne Herrington and Charles Moran begin to re-think the way writing-across-the-curriculum programs have situated themselves within composition theory, an intriguing disparity has presented itself between writing-to-learn and learning-to-write. As McLeod points out, these two approaches to WAC, which she designates the "cognitive" and the "rhetorical," respectively, exist in most programs simultaneously despite their radically different epistemological assumptions. This paper suggests, however, that despite the two approaches' seeming epistemological differences, they work toward a similar goal: the accommodation or inscription of (student) subjects into the various disciplinary strands of academic discourse. From a poststructural perspective, the goals of both these models function as a coherent technology of subject production. Writing to learn exercises provide a discursive space in which students learn to write themselves as subjects of the discourse, using the writing space to "practice" an integration of self with a disciplinary subjectivity. The rhetorical model reinforces such an integration even more strongly, providing explicit instruction in how the discursive subject must write herself in order to produce "effective" prose which mirrors the texts of other "speaking" subjects of the discourse. In sum, both approaches to WAC are subject to the same description and critique of how academic discourse seeks to inscribe students as subjects that has been forged against composition instruction in English departments (e.g., Schilb, Clifford, Faigley). Ironically, in WAC, we have presumed a clear mission for writing instruction that is not nearly so evident in our own approach to advanced literacy. The paper concludes, then, by offering yet a third model of WAC, one which suggests that students, as well as their instructors, engage in the investigative process of discovering how discursive conventions relate to their discipline's epistemology and consider how that connection limits what can be said or thought within that discourse.

Neurobiology

High Performance Computing Applications in Neurobiological Research; Muriel D. Ross, NASA Ames Research Center, Moffett Field, CA 94035; Kevin Montgomery, Sterling Software, Palo Alto, CA 94303; David G. Doshay, Sterling Software, Palo Alto, CA 94303; Thomas C. Chimento, Sterling Software, Palo Alto, CA 94303; Bruce R. Parnas, National Research Council Research Associate, Biocomputation Center, NASA Ames Research Center, Moffett Field, CA 94035

The human nervous system is a massively parallel processor of information. The vast numbers of neurons, synapses and circuits is daunting to those seeking to understand the neural basis of consciousness and intellect. Pervading obstacles are lack of knowledge of the detailed, three-dimensional (3-D) organization of even a simple neural system and the paucity of large scale, biologically relevant computer simulations. We use high performance graphics workstations and supercomputers to study the 3-D organization of gravity sensors as a prototypic architecture foreshadowing more complex systems. Scaled-down simulations run on a Silicon Graphics workstation and scaled-up, three-dimensional versions run on the Cray Y-MP and CM5 supercomputers.

To assist this research, we developed generalized computer-based methods for semiautomated, 3-D reconstruction of this tissue from transmission electron microscope (TEM) serial sections and for simulations of the reconstructed neurons and circuits. Sections are digitized directly from the TEM. Contours of objects are traced on the computer screen. Mosaicking images into sections, registration and visualization are automated. The same grids generated to connect contours for viewing objects provide tesselated surfaces for 1-D, 2-D and 3-D simulations of neuronal functioning. Finite element analysis of prism or segment volumes and color coding are used to track current spread after synapse activation. The biologically accurate simulation is reducible to a symbolic model that mimics the flow of information processing. Discharge patterns are displayed as spike trains. The symbolic model can be converted to an electronic circuit for potential implementation as a chip. The reconstructions can also be rendered in visual, sonic and tactile virtual media.

Using these methods, we demonstrated that gravity sensors are organized for parallel distributed processing of information. They have non-modular receptive fields that are organized into overlapping, dynamic cell assemblies. These provide a basis for functional degeneracy and graceful degradation. The sensors have two intrinsic microcircuits that are prototypic of more advanced systems. These microcircuits are highly channeled (type I cell to a nerve terminal called a calyx) and distributed modifying (type II cells and feedforward/feedback neural lOops). A circuit of extrinsic origin likely biases the intrinsic circuits. We use simulation methods to study the effects of intrinsic feedback-feedforward lOops and of extrinsically driven biases on discharge patterns. These and similar investigations into the functioning of huge assemblies of neurons require supercomputer capabilities and pave the way for studies of human brain functioning as a grand challenge in supercomputer applications.

http://biocomp.arc.nasa.gov/papers/hpc_abstract.94.html

(accessed February 3, 1998)

Department of the Interior - U.S. Geological Survey

Inventory of Landslides Triggered by the 1994 Northridge, California Earthquake Edwin L. Harp and Randall W. Jibson Open-File Report 95-213 USGS Denver, CO 80225 1995

The 17 January 1994 Northridge, California, earthquake (M=6.7) triggered more than 11,000 landslides over an area of about 10,000 km. Most of the landslides were concentrated in a 1,000-km area that includes the Santa Susana Mountains and the mountains north of the Santa Clara River valley. We mapped landslides triggered by the earthquake in the field and from 1:60,000-scale aerial photography provided by the U.S. Air Force and taken the morning of the earthquake; these were subsequently digitized and plotted in a GIS-based format, as shown on the accompanying maps (which also are accessible via Internet). Most of the triggered landslides were shallow (1-5 m), highly disrupted falls and slides in weakly cemented Tertiary to Pleistocene clastic sediment. Average volumes of these types of landslides were less than 1,000 m, but many had volumes exceeding 100,000 m. Many of the larger disrupted slides traveled more than 50 m, and a few moved as far as 200 m from the bases of steep parent slopes. Deeper ( >5 m) rotational slumps and block slides numbered in the hundreds, a few of which exceeded 100,000 m in volume. The largest triggered landslide was a block slide having a volume of 8X10E06 m. Triggered landslides damaged or destroyed dozens of homes, blocked roads, and damaged oil-field infrastructure. Analysis of landslide distribution with respect to variations in (1) landslide susceptibility and (2) strong shaking recorded by hundreds of instruments will form the basis of a seismic landslide hazard analysis of the Los Angeles area.

http://gldage.cr.usgs.gov/html_ files/ofr95-213/ABSTRAC2.html

LeCourt, Donna,  Kate Kiefer, Luann Barnes, Mike Palmquist, & Tom Siller. (2004). Abstracts. Writing@CSU . Colorado State University. https://writing.colostate.edu/guides/guide.cfm?guideid=59

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• A Research Guide
• Research Paper Guide

How to Write an Abstract for a Research Paper

• Purpose of an abstract
• Five mandatory parts
• Step by step guide
• Research abstract formats

Abstract writing checklist

• Abstract Examples

The definition of a research paper abstract

The purpose of an abstract, 5 parts mandatory to include in an abstract.

• Background and context : The abstract briefly introduces the topic or problem addressed in the research, providing the necessary background information to understand its significance.
• Objectives and research questions : The abstract outlines the specific goals and research questions the study aims to address, highlighting the research purpose.
• M ethodology and approach : A brief description of the research methodology, including the data collection methods, experimental design, or analytical techniques employed, is provided to give readers an idea of how the research was conducted.
• Results and findings : The abstract summarizes the main outcomes and findings of the research. It may highlight specific data, statistics, or significant patterns observed during the study.
• Conclusion and implications : The abstract concludes by summarizing the overall conclusions drawn from the research and discussing their potential implications or significance in the broader context of the field.

How to create an abstract: step by step guide

Step 1: understand the end goal., step 2: identify key elements to include..

• Background: Briefly introduce the topic or problem you’re addressing in your research. Highlight the significance or motivation behind your study.
• Objectives: Clearly state the main objectives or research questions of your study. What are you trying to achieve or investigate with your research?
• Methods: Briefly describe the research design, methodology, and techniques for collecting and analyzing data. Provide enough information to give readers an understanding of how the study was conducted.
• Results: Summarize the main findings or outcomes of your research. Highlight the most important and relevant results that directly address your research objectives.
• Conclusions: State the conclusions or implications drawn from your study. What are the broader implications of your findings? How does your research contribute to the field?

Step 3: Write a concise and clear abstract.

• Be concise: Abstracts are typically limited to a specific word count (e.g., 150-250 words). Use concise language and avoid unnecessary details or jargon.
• Use clear and precise language: Ensure your abstract is understandable to readers from various backgrounds. Use plain language and avoid excessive technical terms.
• Follow a logical template structure: Logically organize your abstract, following the order of the key elements mentioned above. This helps readers quickly grasp the flow of your research.
• Be accurate and specific: Provide accurate information about your research, including specific findings and conclusions. Avoid vague statements or overly general claims.

Step 4: Revise and proofread.

The main types of research paper abstract format.

Modern Language Association ( MLA ):

• Often used in the humanities, especially language, literature, and cultural studies.
• In-text citations include the author’s last name and page number.
• The Works Cited page lists sources cited in the paper, formatted with hanging indents.
• Double-spaced throughout the paper with a legible font (e.g., Times New Roman, 12-point size).
• Includes a header with the author’s last name and page number in the top right corner.

American Psychological Association ( APA ):

• Widely used in social sciences, such as psychology, sociology, and education.
• In-text citations include the author’s last name, year of publication, and page number (for direct quotes).
• The references page provides a list of sources cited in the paper, formatted with hanging indents.
• Includes a title page, abstract (if required), and running head on each page with a shortened title version.

Chicago Manual of Style ( CMS ) or Chicago/Turabian:

• Commonly used in history, art history, and some social sciences.
• Provides two documentation styles: notes and bibliography (footnotes or endnotes) and author-date (in-text citations).
• Includes a bibliography or reference list, which appears at the end of the paper.
• Includes a title page (sometimes), footnotes or endnotes for citations, and a separate page for the bibliography or references.

American Sociological Association (ASA):

• Primarily used in sociology and related disciplines.
• In-text citations include the author’s last name and year of publication.
• References list provides a list of sources cited in the paper, formatted with hanging indents.
• Includes a title page, abstract (if required), and a separate reference page.

American Medical Association ( AMA ):

• Commonly used in medical and health sciences.
• In-text citations use superscript numbers corresponding to the full citation in the reference list.
• References list provides a list of sources cited in the paper, numbered in the order they appear in the text.
• Structure and Content:
• Does the abstract follow a logical structure, including background, objectives, methods, results, and conclusions?
• Are the main elements of the research clearly and concisely summarized?
• Is the abstract within the recommended word count limit specified by the journal or guidelines?
• Clarity and Language:
• Is the language clear, precise, and easily understandable to readers from various backgrounds?
• Have technical terms or jargon been minimized or explained for non-expert readers?
• Are the key findings and conclusions presented straightforwardly?
• Accuracy and Completeness:
• Does the abstract accurately represent the research paper’s main purpose, scope, and focus?
• Are the objectives and research questions clearly stated?
• Do the results and conclusions align with the findings and analysis presented in the paper?
• Conciseness and Elimination of Redundancy:
• Have unnecessary details, explanations, or lengthy background information been eliminated?
• Are there any redundant statements or repetitive information that can be condensed or removed?
• Have you focused on including your research’s most important and relevant aspects?
• Grammar and Language Mechanics:
• Have you proofread the abstract for grammar, spelling, and punctuation errors?
• Is the abstract written in proper sentence structure and coherent paragraphs?
• Have you reviewed the specific guidelines the journal or conference provided for abstract formatting?
• Does the abstract meet the specified requirements for word count, font, spacing, and other formatting elements?

The “good” and “bad” abstract examples

Good abstract:.

This research paper investigates the relationship between social media usage and mental health among young adults. The study employs a quantitative approach, utilizing a survey instrument to collect data from a sample of 500 participants aged 18 to 25.

The implications of these findings highlight the need for targeted interventions and educational programs to promote healthy social media habits and protect individuals from potential mental health risks associated with excessive usage.

Bad Abstract:

This research paper examines the relationship between social media and mental health. It presents data collected from a sample of young adults aged 18 to 25 through a survey. The findings show a positive correlation between social media usage and symptoms of anxiety and depression.

• Writing a Research Paper
• Research Paper Title
• Research Paper Sources
• Research Paper Problem Statement
• Research Paper Thesis Statement
• Hypothesis for a Research Paper
• Research Question
• Research Paper Outline
• Research Paper Summary
• Research Paper Prospectus
• Research Paper Proposal
• Research Paper Format
• Research Paper Styles
• AMA Style Research Paper
• MLA Style Research Paper
• Chicago Style Research Paper
• APA Style Research Paper
• Research Paper Structure
• Research Paper Cover Page
• Research Paper Abstract
• Research Paper Introduction
• Research Paper Body Paragraph
• Research Paper Literature Review
• Research Paper Background
• Research Paper Methods Section
• Research Paper Results Section
• Research Paper Discussion Section
• Research Paper Conclusion
• Research Paper Appendix
• Research Paper Bibliography
• APA Reference Page
• Annotated Bibliography
• Bibliography vs Works Cited vs References Page
• Research Paper Types
• What is Qualitative Research

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What Is Research Methodology? A Plain-Language Explanation & Definition (With Examples)

By Derek Jansen (MBA)  and Kerryn Warren (PhD) | June 2020 (Last updated April 2023)

If you’re new to formal academic research, it’s quite likely that you’re feeling a little overwhelmed by all the technical lingo that gets thrown around. And who could blame you – “research methodology”, “research methods”, “sampling strategies”… it all seems never-ending!

In this post, we’ll demystify the landscape with plain-language explanations and loads of examples (including easy-to-follow videos), so that you can approach your dissertation, thesis or research project with confidence. Let’s get started.

Research Methodology 101

• What exactly research methodology means
• What qualitative , quantitative and mixed methods are
• What sampling strategy is
• What data collection methods are
• What data analysis methods are
• How to choose your research methodology
• Example of a research methodology

What is research methodology?

Research methodology simply refers to the practical “how” of a research study. More specifically, it’s about how  a researcher  systematically designs a study  to ensure valid and reliable results that address the research aims, objectives and research questions . Specifically, how the researcher went about deciding:

• What type of data to collect (e.g., qualitative or quantitative data )
• Who  to collect it from (i.e., the sampling strategy )
• How to  collect  it (i.e., the data collection method )
• How to  analyse  it (i.e., the data analysis methods )

Within any formal piece of academic research (be it a dissertation, thesis or journal article), you’ll find a research methodology chapter or section which covers the aspects mentioned above. Importantly, a good methodology chapter explains not just   what methodological choices were made, but also explains  why they were made. In other words, the methodology chapter should justify  the design choices, by showing that the chosen methods and techniques are the best fit for the research aims, objectives and research questions. 

So, it’s the same as research design?

Not quite. As we mentioned, research methodology refers to the collection of practical decisions regarding what data you’ll collect, from who, how you’ll collect it and how you’ll analyse it. Research design, on the other hand, is more about the overall strategy you’ll adopt in your study. For example, whether you’ll use an experimental design in which you manipulate one variable while controlling others. You can learn more about research design and the various design types here .

Need a helping hand?

What are qualitative, quantitative and mixed-methods?

Qualitative, quantitative and mixed-methods are different types of methodological approaches, distinguished by their focus on words , numbers or both . This is a bit of an oversimplification, but its a good starting point for understanding.

Let’s take a closer look.

Qualitative research refers to research which focuses on collecting and analysing words (written or spoken) and textual or visual data, whereas quantitative research focuses on measurement and testing using numerical data . Qualitative analysis can also focus on other “softer” data points, such as body language or visual elements.

It’s quite common for a qualitative methodology to be used when the research aims and research questions are exploratory  in nature. For example, a qualitative methodology might be used to understand peoples’ perceptions about an event that took place, or a political candidate running for president. 

Contrasted to this, a quantitative methodology is typically used when the research aims and research questions are confirmatory  in nature. For example, a quantitative methodology might be used to measure the relationship between two variables (e.g. personality type and likelihood to commit a crime) or to test a set of hypotheses .

As you’ve probably guessed, the mixed-method methodology attempts to combine the best of both qualitative and quantitative methodologies to integrate perspectives and create a rich picture. If you’d like to learn more about these three methodological approaches, be sure to watch our explainer video below.

What is sampling strategy?

Simply put, sampling is about deciding who (or where) you’re going to collect your data from . Why does this matter? Well, generally it’s not possible to collect data from every single person in your group of interest (this is called the “population”), so you’ll need to engage a smaller portion of that group that’s accessible and manageable (this is called the “sample”).

How you go about selecting the sample (i.e., your sampling strategy) will have a major impact on your study.  There are many different sampling methods  you can choose from, but the two overarching categories are probability   sampling and  non-probability   sampling .

Probability sampling  involves using a completely random sample from the group of people you’re interested in. This is comparable to throwing the names all potential participants into a hat, shaking it up, and picking out the “winners”. By using a completely random sample, you’ll minimise the risk of selection bias and the results of your study will be more generalisable  to the entire population. 

Non-probability sampling , on the other hand,  doesn’t use a random sample . For example, it might involve using a convenience sample, which means you’d only interview or survey people that you have access to (perhaps your friends, family or work colleagues), rather than a truly random sample. With non-probability sampling, the results are typically not generalisable .

To learn more about sampling methods, be sure to check out the video below.

What are data collection methods?

As the name suggests, data collection methods simply refers to the way in which you go about collecting the data for your study. Some of the most common data collection methods include:

• Interviews (which can be unstructured, semi-structured or structured)
• Focus groups and group interviews
• Surveys (online or physical surveys)
• Observations (watching and recording activities)
• Biophysical measurements (e.g., blood pressure, heart rate, etc.)
• Documents and records (e.g., financial reports, court records, etc.)

The choice of which data collection method to use depends on your overall research aims and research questions , as well as practicalities and resource constraints. For example, if your research is exploratory in nature, qualitative methods such as interviews and focus groups would likely be a good fit. Conversely, if your research aims to measure specific variables or test hypotheses, large-scale surveys that produce large volumes of numerical data would likely be a better fit.

What are data analysis methods?

Data analysis methods refer to the methods and techniques that you’ll use to make sense of your data. These can be grouped according to whether the research is qualitative  (words-based) or quantitative (numbers-based).

Popular data analysis methods in qualitative research include:

• Qualitative content analysis
• Thematic analysis
• Discourse analysis
• Narrative analysis
• Interpretative phenomenological analysis (IPA)
• Visual analysis (of photographs, videos, art, etc.)

Qualitative data analysis all begins with data coding , after which an analysis method is applied. In some cases, more than one analysis method is used, depending on the research aims and research questions . In the video below, we explore some  common qualitative analysis methods, along with practical examples.  

Moving on to the quantitative side of things, popular data analysis methods in this type of research include:

• Descriptive statistics (e.g. means, medians, modes )
• Inferential statistics (e.g. correlation, regression, structural equation modelling)

Again, the choice of which data collection method to use depends on your overall research aims and objectives , as well as practicalities and resource constraints. In the video below, we explain some core concepts central to quantitative analysis.

How do I choose a research methodology?

As you’ve probably picked up by now, your research aims and objectives have a major influence on the research methodology . So, the starting point for developing your research methodology is to take a step back and look at the big picture of your research, before you make methodology decisions. The first question you need to ask yourself is whether your research is exploratory or confirmatory in nature.

If your research aims and objectives are primarily exploratory in nature, your research will likely be qualitative and therefore you might consider qualitative data collection methods (e.g. interviews) and analysis methods (e.g. qualitative content analysis). 

Conversely, if your research aims and objective are looking to measure or test something (i.e. they’re confirmatory), then your research will quite likely be quantitative in nature, and you might consider quantitative data collection methods (e.g. surveys) and analyses (e.g. statistical analysis).

Designing your research and working out your methodology is a large topic, which we cover extensively on the blog . For now, however, the key takeaway is that you should always start with your research aims, objectives and research questions (the golden thread). Every methodological choice you make needs align with those three components. 

Example of a research methodology chapter

In the video below, we provide a detailed walkthrough of a research methodology from an actual dissertation, as well as an overview of our free methodology template .

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

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198 Comments

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I am writing a APA Format paper . I using questionnaire with 120 STDs teacher for my participant. Can you write me mthology for this research. Send it through email sent. Just need a sample as an example please. My topic is ” impacts of overcrowding on students learning

Thanks for your comment.

We can’t write your methodology for you. If you’re looking for samples, you should be able to find some sample methodologies on Google. Alternatively, you can download some previous dissertations from a dissertation directory and have a look at the methodology chapters therein.

All the best with your research.

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Thanks for the kind words, Edward. Good luck with your research!

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Great to hear that, Ngwisa. Good luck with your research methodology!

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Sure. You’re welcome to book an initial consultation with one of our Research Coaches to discuss how we can assist – https://gradcoach.com/book/new/ .

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I’m currently working on my Ph.D. thesis. Thanks a lot, Derek and Kerryn, Well-organized sequences, facilitate the readers’ following.

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how do i reference this?

MLA Jansen, Derek, and Kerryn Warren. “What (Exactly) Is Research Methodology?” Grad Coach, June 2021, gradcoach.com/what-is-research-methodology/.

APA Jansen, D., & Warren, K. (2021, June). What (Exactly) Is Research Methodology? Grad Coach. https://gradcoach.com/what-is-research-methodology/

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What is Research Methodology? Definition, Types, and Examples

Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of the research. Several aspects must be considered before selecting an appropriate research methodology, such as research limitations and ethical concerns that may affect your research.

The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ensure the reliability and validity of the research findings. There are three types of research methodology—quantitative, qualitative, and mixed-method, which can be chosen based on the research objectives.

What is research methodology ?

A research methodology describes the techniques and procedures used to identify and analyze information regarding a specific research topic. It is a process by which researchers design their study so that they can achieve their objectives using the selected research instruments. It includes all the important aspects of research, including research design, data collection methods, data analysis methods, and the overall framework within which the research is conducted. While these points can help you understand what is research methodology, you also need to know why it is important to pick the right methodology.

Why is research methodology important?

Having a good research methodology in place has the following advantages: 3

• Helps other researchers who may want to replicate your research; the explanations will be of benefit to them.
• You can easily answer any questions about your research if they arise at a later stage.
• A research methodology provides a framework and guidelines for researchers to clearly define research questions, hypotheses, and objectives.
• It helps researchers identify the most appropriate research design, sampling technique, and data collection and analysis methods.
• A sound research methodology helps researchers ensure that their findings are valid and reliable and free from biases and errors.
• It also helps ensure that ethical guidelines are followed while conducting research.
• A good research methodology helps researchers in planning their research efficiently, by ensuring optimum usage of their time and resources.

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Types of research methodology.

There are three types of research methodology based on the type of research and the data required. 1

• Quantitative research methodology focuses on measuring and testing numerical data. This approach is good for reaching a large number of people in a short amount of time. This type of research helps in testing the causal relationships between variables, making predictions, and generalizing results to wider populations.
• Qualitative research methodology examines the opinions, behaviors, and experiences of people. It collects and analyzes words and textual data. This research methodology requires fewer participants but is still more time consuming because the time spent per participant is quite large. This method is used in exploratory research where the research problem being investigated is not clearly defined.
• Mixed-method research methodology uses the characteristics of both quantitative and qualitative research methodologies in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method.

What are the types of sampling designs in research methodology?

Sampling 4 is an important part of a research methodology and involves selecting a representative sample of the population to conduct the study, making statistical inferences about them, and estimating the characteristics of the whole population based on these inferences. There are two types of sampling designs in research methodology—probability and nonprobability.

• Probability sampling

In this type of sampling design, a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are:

• Systematic —sample members are chosen at regular intervals. It requires selecting a starting point for the sample and sample size determination that can be repeated at regular intervals. This type of sampling method has a predefined range; hence, it is the least time consuming.
• Stratified —researchers divide the population into smaller groups that don’t overlap but represent the entire population. While sampling, these groups can be organized, and then a sample can be drawn from each group separately.
• Cluster —the population is divided into clusters based on demographic parameters like age, sex, location, etc.
• Convenience —selects participants who are most easily accessible to researchers due to geographical proximity, availability at a particular time, etc.
• Purposive —participants are selected at the researcher’s discretion. Researchers consider the purpose of the study and the understanding of the target audience.
• Snowball —already selected participants use their social networks to refer the researcher to other potential participants.
• Quota —while designing the study, the researchers decide how many people with which characteristics to include as participants. The characteristics help in choosing people most likely to provide insights into the subject.

What are data collection methods?

During research, data are collected using various methods depending on the research methodology being followed and the research methods being undertaken. Both qualitative and quantitative research have different data collection methods, as listed below.

Qualitative research 5

• One-on-one interviews: Helps the interviewers understand a respondent’s subjective opinion and experience pertaining to a specific topic or event
• Document study/literature review/record keeping: Researchers’ review of already existing written materials such as archives, annual reports, research articles, guidelines, policy documents, etc.
• Focus groups: Constructive discussions that usually include a small sample of about 6-10 people and a moderator, to understand the participants’ opinion on a given topic.
• Qualitative observation : Researchers collect data using their five senses (sight, smell, touch, taste, and hearing).

Quantitative research 6

• Sampling: The most common type is probability sampling.
• Interviews: Commonly telephonic or done in-person.
• Observations: Structured observations are most commonly used in quantitative research. In this method, researchers make observations about specific behaviors of individuals in a structured setting.
• Document review: Reviewing existing research or documents to collect evidence for supporting the research.
• Surveys and questionnaires. Surveys can be administered both online and offline depending on the requirement and sample size.

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What are data analysis methods.

The data collected using the various methods for qualitative and quantitative research need to be analyzed to generate meaningful conclusions. These data analysis methods 7 also differ between quantitative and qualitative research.

Quantitative research involves a deductive method for data analysis where hypotheses are developed at the beginning of the research and precise measurement is required. The methods include statistical analysis applications to analyze numerical data and are grouped into two categories—descriptive and inferential.

Descriptive analysis is used to describe the basic features of different types of data to present it in a way that ensures the patterns become meaningful. The different types of descriptive analysis methods are:

• Measures of frequency (count, percent, frequency)
• Measures of central tendency (mean, median, mode)
• Measures of dispersion or variation (range, variance, standard deviation)
• Measure of position (percentile ranks, quartile ranks)

Inferential analysis is used to make predictions about a larger population based on the analysis of the data collected from a smaller population. This analysis is used to study the relationships between different variables. Some commonly used inferential data analysis methods are:

• Correlation: To understand the relationship between two or more variables.
• Cross-tabulation: Analyze the relationship between multiple variables.
• Regression analysis: Study the impact of independent variables on the dependent variable.
• Frequency tables: To understand the frequency of data.
• Analysis of variance: To test the degree to which two or more variables differ in an experiment.

Qualitative research involves an inductive method for data analysis where hypotheses are developed after data collection. The methods include:

• Content analysis: For analyzing documented information from text and images by determining the presence of certain words or concepts in texts.
• Narrative analysis: For analyzing content obtained from sources such as interviews, field observations, and surveys. The stories and opinions shared by people are used to answer research questions.
• Discourse analysis: For analyzing interactions with people considering the social context, that is, the lifestyle and environment, under which the interaction occurs.
• Grounded theory: Involves hypothesis creation by data collection and analysis to explain why a phenomenon occurred.
• Thematic analysis: To identify important themes or patterns in data and use these to address an issue.

How to choose a research methodology?

Here are some important factors to consider when choosing a research methodology: 8

• Research objectives, aims, and questions —these would help structure the research design.
• Review existing literature to identify any gaps in knowledge.
• Check the statistical requirements —if data-driven or statistical results are needed then quantitative research is the best. If the research questions can be answered based on people’s opinions and perceptions, then qualitative research is most suitable.
• Sample size —sample size can often determine the feasibility of a research methodology. For a large sample, less effort- and time-intensive methods are appropriate.
• Constraints —constraints of time, geography, and resources can help define the appropriate methodology.

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How to write a research methodology .

A research methodology should include the following components: 3,9

• Research design —should be selected based on the research question and the data required. Common research designs include experimental, quasi-experimental, correlational, descriptive, and exploratory.
• Research method —this can be quantitative, qualitative, or mixed-method.
• Reason for selecting a specific methodology —explain why this methodology is the most suitable to answer your research problem.
• Research instruments —explain the research instruments you plan to use, mainly referring to the data collection methods such as interviews, surveys, etc. Here as well, a reason should be mentioned for selecting the particular instrument.
• Sampling —this involves selecting a representative subset of the population being studied.
• Data collection —involves gathering data using several data collection methods, such as surveys, interviews, etc.
• Data analysis —describe the data analysis methods you will use once you’ve collected the data.
• Research limitations —mention any limitations you foresee while conducting your research.
• Validity and reliability —validity helps identify the accuracy and truthfulness of the findings; reliability refers to the consistency and stability of the results over time and across different conditions.
• Ethical considerations —research should be conducted ethically. The considerations include obtaining consent from participants, maintaining confidentiality, and addressing conflicts of interest.

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Frequently Asked Questions

Q1. What are the key components of research methodology?

A1. A good research methodology has the following key components:

• Research design
• Data collection procedures
• Data analysis methods
• Ethical considerations

Q2. Why is ethical consideration important in research methodology?

A2. Ethical consideration is important in research methodology to ensure the readers of the reliability and validity of the study. Researchers must clearly mention the ethical norms and standards followed during the conduct of the research and also mention if the research has been cleared by any institutional board. The following 10 points are the important principles related to ethical considerations: 10

• Participants should not be subjected to harm.
• Respect for the dignity of participants should be prioritized.
• Full consent should be obtained from participants before the study.
• Participants’ privacy should be ensured.
• Confidentiality of the research data should be ensured.
• Anonymity of individuals and organizations participating in the research should be maintained.
• The aims and objectives of the research should not be exaggerated.
• Affiliations, sources of funding, and any possible conflicts of interest should be declared.
• Communication in relation to the research should be honest and transparent.
• Misleading information and biased representation of primary data findings should be avoided.

Q3. What is the difference between methodology and method?

A3. Research methodology is different from a research method, although both terms are often confused. Research methods are the tools used to gather data, while the research methodology provides a framework for how research is planned, conducted, and analyzed. The latter guides researchers in making decisions about the most appropriate methods for their research. Research methods refer to the specific techniques, procedures, and tools used by researchers to collect, analyze, and interpret data, for instance surveys, questionnaires, interviews, etc.

Research methodology is, thus, an integral part of a research study. It helps ensure that you stay on track to meet your research objectives and answer your research questions using the most appropriate data collection and analysis tools based on your research design.

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• Research methodologies. Pfeiffer Library website. Accessed August 15, 2023. https://library.tiffin.edu/researchmethodologies/whatareresearchmethodologies
• Types of research methodology. Eduvoice website. Accessed August 16, 2023. https://eduvoice.in/types-research-methodology/
• The basics of research methodology: A key to quality research. Voxco. Accessed August 16, 2023. https://www.voxco.com/blog/what-is-research-methodology/
• Sampling methods: Types with examples. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/types-of-sampling-for-social-research/
• What is qualitative research? Methods, types, approaches, examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-qualitative-research-methods-types-examples/
• What is quantitative research? Definition, methods, types, and examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-quantitative-research-types-and-examples/
• Data analysis in research: Types & methods. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/data-analysis-in-research/#Data_analysis_in_qualitative_research
• Factors to consider while choosing the right research methodology. PhD Monster website. Accessed August 17, 2023. https://www.phdmonster.com/factors-to-consider-while-choosing-the-right-research-methodology/
• What is research methodology? Research and writing guides. Accessed August 14, 2023. https://paperpile.com/g/what-is-research-methodology/
• Ethical considerations. Business research methodology website. Accessed August 17, 2023. https://research-methodology.net/research-methodology/ethical-considerations/

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5 Reasons Why Your Abstract is Important

An abstract is a brief summary of a scientific paper that provides an overview of the research question, methods, results, and conclusions.

Updated on August 24, 2023

What is the abstract’s purpose?

The purpose of an abstract is to provide a concise and accurate description of the study, allowing readers to quickly understand the main points without having to read the entire document. Abstracts are typically between 150-300 words in length and should generally include the following elements:

• Background and study aim : Provide a brief introduction to the research problem or question and the goal of the research.
• Methods : Describe the methods used to conduct the study.
• Results : Summarize the main findings of the study.
• Conclusions : Explain the significance and implications of the study's results.

Note that the specific sections included in your abstract as well as the word count will depend on the requirements of your target journal or publisher. This information can generally be found under “Author Guidelines” on a journal’s webpage.  

An abstract should be written in a clear, concise, and objective manner, using plain language and avoiding technical jargon whenever possible.

Here are five reasons why an abstract is important in a scientific paper:

1. The abstract provides a quick overview

The abstract is the first section of a scientific paper that readers encounter. This is your chance to hook your readers. Therefore, it should provide a brief overview of the entire paper, including your key findings. An abstract enables readers to quickly understand the purpose of the research and decide if the paper is relevant to their interests.

Researchers often need to read through many papers to find the information they need. The abstract allows readers to quickly determine if a paper is relevant to their needs, saving them time and effort.

2. A well-written abstract increases accessibility and visibility

Abstracts are often published in databases and indexes which allows researchers to search for papers based on specific keywords in search engines such as Google Scholar , the Web of Science Master Journal List , or PubMed . This makes it easier for both researchers and the public to find relevant papers and access the information they need in search engines.

3. Abstracts save researchers and journal editors time 

Journals receive many articles. Editors do not have the time read through entire manuscripts. A well-written abstract can give editors the jist of your research in a short amount of time. Many journals use abstracts to help determine which articles to publish.

4. An abstract can improve understanding

The abstract summarizes the key findings and conclusions of the research. This enables readers to quickly understand the implications of the research and its potential impact on their field.

5. An abstract enables critical appraisal

Abstracts enable readers to critically appraise the research by providing a summary of the methods and results. This allows readers to evaluate the quality and reliability of the research and determine if the conclusions are supported by the evidence presented.

Final thoughts

The main purpose of an abstract is to help readers quickly determine if a paper is relevant to their interests and if it provides information that is useful to their research. The abstract should provide an overview of the research question, methods, results, and conclusions of the paper, allowing readers to quickly understand the main points of the paper and decide if they want to read the full article.

In addition, the abstract also serves as a tool for indexing and searching scientific literature databases, allowing researchers to quickly and easily locate relevant papers based on specific keywords or topics.

Even though they are short, abstracts can be one of the most difficult sections of a paper to write. For additional help, check out these resources:

• Developmental Editing Template from AJE Scholar
• Writing an Abstract for your Research Paper , with samples, from the University of Wisconsin
• Example abstract in a published research paper

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Modernizing the Academic Teaching and Research Environment pp 1–23 Cite as

Research Methodology: An Introduction

• Vida Davidavičienė 3  
• First Online: 31 March 2018

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Part of the book series: Progress in IS ((PROIS))

Digital age brings the most dramatic changes in this study and research discipline as well as in other fields of human activities. Scientific research is known for a very long time, however in comparison with other research fields the business and management researches are a little bit younger. The information technologies and new research methodologies that have recently emerged, dramatically change the nature of the research. Therefore, researchers should be ready to absorb new possibilities and follow basic roles coming from earlier stages of the discipline. The intention of this chapter is to provide a brief introduction to those aspects of pertinent research to beginner researchers. The chapter presents the nature of scientific research so that it may be clearly understood and uses, as its basic approach, the fundamental principles of problem solving. The scope of the research provides an overviews the entire assumptions about reality, knowledge and human nature, key terms of theory and research presented. Main concepts of the research are discussed and all this is oriented to business, management and economic science specific.

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• Good Research Methodology
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A. Saunders, M. Lewis, P. Thornhill, Research Methods for Business Students , 6th edn (Harlow: Pearson, 2012)

Google Scholar  

B. Blumberg, D.R. Cooper, P.S. Schindler, Business Research Methods , 3rd edn. (McGraw-Hill, London, 2011)

A. Bryman, E. Bell, Business Research Methods , 3rd edn. (Oxford University Press, Oxford, 2015)

A.J. Veal, Business Research Methods: A Managerial Approach (Pearson Education Australia, Frenchs Forest, 2005)

Y.K. Singh, Fundamental of Research Methodology and Statistics (New Age International (P) Ltd, 2006)

A.A. Berger, No Title Media and communication research methods: an introduction to qualitative and quantitative approaches , Third Edition (Sage, Thousand Oaks (Calif.), 2013)

A. Carsrud, M. Brannback, Handbook of Research Methods and Applications in Entrepreneurship and Small Business (Edward Elgar, Cheltenham, 2014)

D.R. Cooper, P.S. Schindler, Business Research Methods , 12th edn. (McGraw-Hill Education, New York, 2013)

M. Easterby-Smith, R. Thorpe, P.R. Jackson, Management Research , 4th edn. (SAGE Publications Ltd, London, 2012)

S. Greener, Business Research Methods (Ventus Publishing ApS, Denmark, 2008)

S.L. Jackson, Research Methods and Statistics: A Critical Thinking Approach (Wadsworth Cengage Learning, Belmont (Calif.), 2012)

B.C. Lindlof, T.R., Taylor, Qualitative Communication Research Methods (Sage, Thousand Oaks (Calif.), 2011)

A.J. Pickard, Research Methods in Information (Facet, London, 2013)

T. Stokes, P., Wall, Research Method (Palgrave Macmillan, London, 2014)

A.H. Walle, Qualitative Research in Business: A Practical Overview (Cambridge Scholars Publishing, Newcastle upon Tyne, 2015)

W.G. Zikmund, B.J. Babin, J.C. Carr, M. Griffin, Business Research Methods, 9th edition (South-Western: Cengage Learning, 2013)

D.C. Mark Teale, V. Dispenza, J. Flynn, Management Decision Making: Towards an Integrative Approach (Financial Times/Prentice Hall, USA, 2002)

B.C. Agrawal, Anthropological Methods for Communication Research: Experiences and Encounters During SITE (Concept Publishing Company, Delhi, 1985)

Britanica, An Inquiry into the Nature and Causes of the Wealth of Nations | work by Smith | Britannica.com . www.britannica.com/topic/An-Inquiry-into-the-Nature-and-Causes-of-the-Wealth-of-Nations . [Accessed: 16 Dec 2015]

L.B. Christensen, R.B. Johnson, L.A. Turner, Research Methods, Design, and Analysis (Pearson, Boston (Mass.), 2013)

N. Blaikie, Designing Social Research (2009)

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Davidavičienė, V. (2018). Research Methodology: An Introduction. In: Marx Gómez, J., Mouselli, S. (eds) Modernizing the Academic Teaching and Research Environment. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-74173-4_1

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A tutorial on methodological studies: the what, when, how and why

Lawrence mbuagbaw.

1 Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON Canada

2 Biostatistics Unit/FSORC, 50 Charlton Avenue East, St Joseph’s Healthcare—Hamilton, 3rd Floor Martha Wing, Room H321, Hamilton, Ontario L8N 4A6 Canada

3 Centre for the Development of Best Practices in Health, Yaoundé, Cameroon

Daeria O. Lawson

Livia puljak.

4 Center for Evidence-Based Medicine and Health Care, Catholic University of Croatia, Ilica 242, 10000 Zagreb, Croatia

David B. Allison

5 Department of Epidemiology and Biostatistics, School of Public Health – Bloomington, Indiana University, Bloomington, IN 47405 USA

Lehana Thabane

6 Departments of Paediatrics and Anaesthesia, McMaster University, Hamilton, ON Canada

7 Centre for Evaluation of Medicine, St. Joseph’s Healthcare-Hamilton, Hamilton, ON Canada

8 Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON Canada

Associated Data

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Methodological studies – studies that evaluate the design, analysis or reporting of other research-related reports – play an important role in health research. They help to highlight issues in the conduct of research with the aim of improving health research methodology, and ultimately reducing research waste.

We provide an overview of some of the key aspects of methodological studies such as what they are, and when, how and why they are done. We adopt a “frequently asked questions” format to facilitate reading this paper and provide multiple examples to help guide researchers interested in conducting methodological studies. Some of the topics addressed include: is it necessary to publish a study protocol? How to select relevant research reports and databases for a methodological study? What approaches to data extraction and statistical analysis should be considered when conducting a methodological study? What are potential threats to validity and is there a way to appraise the quality of methodological studies?

Appropriate reflection and application of basic principles of epidemiology and biostatistics are required in the design and analysis of methodological studies. This paper provides an introduction for further discussion about the conduct of methodological studies.

The field of meta-research (or research-on-research) has proliferated in recent years in response to issues with research quality and conduct [ 1 – 3 ]. As the name suggests, this field targets issues with research design, conduct, analysis and reporting. Various types of research reports are often examined as the unit of analysis in these studies (e.g. abstracts, full manuscripts, trial registry entries). Like many other novel fields of research, meta-research has seen a proliferation of use before the development of reporting guidance. For example, this was the case with randomized trials for which risk of bias tools and reporting guidelines were only developed much later – after many trials had been published and noted to have limitations [ 4 , 5 ]; and for systematic reviews as well [ 6 – 8 ]. However, in the absence of formal guidance, studies that report on research differ substantially in how they are named, conducted and reported [ 9 , 10 ]. This creates challenges in identifying, summarizing and comparing them. In this tutorial paper, we will use the term methodological study to refer to any study that reports on the design, conduct, analysis or reporting of primary or secondary research-related reports (such as trial registry entries and conference abstracts).

In the past 10 years, there has been an increase in the use of terms related to methodological studies (based on records retrieved with a keyword search [in the title and abstract] for “methodological review” and “meta-epidemiological study” in PubMed up to December 2019), suggesting that these studies may be appearing more frequently in the literature. See Fig.  1 .

Trends in the number studies that mention “methodological review” or “meta-

epidemiological study” in PubMed.

The methods used in many methodological studies have been borrowed from systematic and scoping reviews. This practice has influenced the direction of the field, with many methodological studies including searches of electronic databases, screening of records, duplicate data extraction and assessments of risk of bias in the included studies. However, the research questions posed in methodological studies do not always require the approaches listed above, and guidance is needed on when and how to apply these methods to a methodological study. Even though methodological studies can be conducted on qualitative or mixed methods research, this paper focuses on and draws examples exclusively from quantitative research.

The objectives of this paper are to provide some insights on how to conduct methodological studies so that there is greater consistency between the research questions posed, and the design, analysis and reporting of findings. We provide multiple examples to illustrate concepts and a proposed framework for categorizing methodological studies in quantitative research.

What is a methodological study?

Any study that describes or analyzes methods (design, conduct, analysis or reporting) in published (or unpublished) literature is a methodological study. Consequently, the scope of methodological studies is quite extensive and includes, but is not limited to, topics as diverse as: research question formulation [ 11 ]; adherence to reporting guidelines [ 12 – 14 ] and consistency in reporting [ 15 ]; approaches to study analysis [ 16 ]; investigating the credibility of analyses [ 17 ]; and studies that synthesize these methodological studies [ 18 ]. While the nomenclature of methodological studies is not uniform, the intents and purposes of these studies remain fairly consistent – to describe or analyze methods in primary or secondary studies. As such, methodological studies may also be classified as a subtype of observational studies.

Parallel to this are experimental studies that compare different methods. Even though they play an important role in informing optimal research methods, experimental methodological studies are beyond the scope of this paper. Examples of such studies include the randomized trials by Buscemi et al., comparing single data extraction to double data extraction [ 19 ], and Carrasco-Labra et al., comparing approaches to presenting findings in Grading of Recommendations, Assessment, Development and Evaluations (GRADE) summary of findings tables [ 20 ]. In these studies, the unit of analysis is the person or groups of individuals applying the methods. We also direct readers to the Studies Within a Trial (SWAT) and Studies Within a Review (SWAR) programme operated through the Hub for Trials Methodology Research, for further reading as a potential useful resource for these types of experimental studies [ 21 ]. Lastly, this paper is not meant to inform the conduct of research using computational simulation and mathematical modeling for which some guidance already exists [ 22 ], or studies on the development of methods using consensus-based approaches.

When should we conduct a methodological study?

Methodological studies occupy a unique niche in health research that allows them to inform methodological advances. Methodological studies should also be conducted as pre-cursors to reporting guideline development, as they provide an opportunity to understand current practices, and help to identify the need for guidance and gaps in methodological or reporting quality. For example, the development of the popular Preferred Reporting Items of Systematic reviews and Meta-Analyses (PRISMA) guidelines were preceded by methodological studies identifying poor reporting practices [ 23 , 24 ]. In these instances, after the reporting guidelines are published, methodological studies can also be used to monitor uptake of the guidelines.

These studies can also be conducted to inform the state of the art for design, analysis and reporting practices across different types of health research fields, with the aim of improving research practices, and preventing or reducing research waste. For example, Samaan et al. conducted a scoping review of adherence to different reporting guidelines in health care literature [ 18 ]. Methodological studies can also be used to determine the factors associated with reporting practices. For example, Abbade et al. investigated journal characteristics associated with the use of the Participants, Intervention, Comparison, Outcome, Timeframe (PICOT) format in framing research questions in trials of venous ulcer disease [ 11 ].

How often are methodological studies conducted?

There is no clear answer to this question. Based on a search of PubMed, the use of related terms (“methodological review” and “meta-epidemiological study”) – and therefore, the number of methodological studies – is on the rise. However, many other terms are used to describe methodological studies. There are also many studies that explore design, conduct, analysis or reporting of research reports, but that do not use any specific terms to describe or label their study design in terms of “methodology”. This diversity in nomenclature makes a census of methodological studies elusive. Appropriate terminology and key words for methodological studies are needed to facilitate improved accessibility for end-users.

Why do we conduct methodological studies?

Methodological studies provide information on the design, conduct, analysis or reporting of primary and secondary research and can be used to appraise quality, quantity, completeness, accuracy and consistency of health research. These issues can be explored in specific fields, journals, databases, geographical regions and time periods. For example, Areia et al. explored the quality of reporting of endoscopic diagnostic studies in gastroenterology [ 25 ]; Knol et al. investigated the reporting of p -values in baseline tables in randomized trial published in high impact journals [ 26 ]; Chen et al. describe adherence to the Consolidated Standards of Reporting Trials (CONSORT) statement in Chinese Journals [ 27 ]; and Hopewell et al. describe the effect of editors’ implementation of CONSORT guidelines on reporting of abstracts over time [ 28 ]. Methodological studies provide useful information to researchers, clinicians, editors, publishers and users of health literature. As a result, these studies have been at the cornerstone of important methodological developments in the past two decades and have informed the development of many health research guidelines including the highly cited CONSORT statement [ 5 ].

Where can we find methodological studies?

Methodological studies can be found in most common biomedical bibliographic databases (e.g. Embase, MEDLINE, PubMed, Web of Science). However, the biggest caveat is that methodological studies are hard to identify in the literature due to the wide variety of names used and the lack of comprehensive databases dedicated to them. A handful can be found in the Cochrane Library as “Cochrane Methodology Reviews”, but these studies only cover methodological issues related to systematic reviews. Previous attempts to catalogue all empirical studies of methods used in reviews were abandoned 10 years ago [ 29 ]. In other databases, a variety of search terms may be applied with different levels of sensitivity and specificity.

Some frequently asked questions about methodological studies

In this section, we have outlined responses to questions that might help inform the conduct of methodological studies.

Q: How should I select research reports for my methodological study?

A: Selection of research reports for a methodological study depends on the research question and eligibility criteria. Once a clear research question is set and the nature of literature one desires to review is known, one can then begin the selection process. Selection may begin with a broad search, especially if the eligibility criteria are not apparent. For example, a methodological study of Cochrane Reviews of HIV would not require a complex search as all eligible studies can easily be retrieved from the Cochrane Library after checking a few boxes [ 30 ]. On the other hand, a methodological study of subgroup analyses in trials of gastrointestinal oncology would require a search to find such trials, and further screening to identify trials that conducted a subgroup analysis [ 31 ].

The strategies used for identifying participants in observational studies can apply here. One may use a systematic search to identify all eligible studies. If the number of eligible studies is unmanageable, a random sample of articles can be expected to provide comparable results if it is sufficiently large [ 32 ]. For example, Wilson et al. used a random sample of trials from the Cochrane Stroke Group’s Trial Register to investigate completeness of reporting [ 33 ]. It is possible that a simple random sample would lead to underrepresentation of units (i.e. research reports) that are smaller in number. This is relevant if the investigators wish to compare multiple groups but have too few units in one group. In this case a stratified sample would help to create equal groups. For example, in a methodological study comparing Cochrane and non-Cochrane reviews, Kahale et al. drew random samples from both groups [ 34 ]. Alternatively, systematic or purposeful sampling strategies can be used and we encourage researchers to justify their selected approaches based on the study objective.

Q: How many databases should I search?

A: The number of databases one should search would depend on the approach to sampling, which can include targeting the entire “population” of interest or a sample of that population. If you are interested in including the entire target population for your research question, or drawing a random or systematic sample from it, then a comprehensive and exhaustive search for relevant articles is required. In this case, we recommend using systematic approaches for searching electronic databases (i.e. at least 2 databases with a replicable and time stamped search strategy). The results of your search will constitute a sampling frame from which eligible studies can be drawn.

Alternatively, if your approach to sampling is purposeful, then we recommend targeting the database(s) or data sources (e.g. journals, registries) that include the information you need. For example, if you are conducting a methodological study of high impact journals in plastic surgery and they are all indexed in PubMed, you likely do not need to search any other databases. You may also have a comprehensive list of all journals of interest and can approach your search using the journal names in your database search (or by accessing the journal archives directly from the journal’s website). Even though one could also search journals’ web pages directly, using a database such as PubMed has multiple advantages, such as the use of filters, so the search can be narrowed down to a certain period, or study types of interest. Furthermore, individual journals’ web sites may have different search functionalities, which do not necessarily yield a consistent output.

Q: Should I publish a protocol for my methodological study?

A: A protocol is a description of intended research methods. Currently, only protocols for clinical trials require registration [ 35 ]. Protocols for systematic reviews are encouraged but no formal recommendation exists. The scientific community welcomes the publication of protocols because they help protect against selective outcome reporting, the use of post hoc methodologies to embellish results, and to help avoid duplication of efforts [ 36 ]. While the latter two risks exist in methodological research, the negative consequences may be substantially less than for clinical outcomes. In a sample of 31 methodological studies, 7 (22.6%) referenced a published protocol [ 9 ]. In the Cochrane Library, there are 15 protocols for methodological reviews (21 July 2020). This suggests that publishing protocols for methodological studies is not uncommon.

Authors can consider publishing their study protocol in a scholarly journal as a manuscript. Advantages of such publication include obtaining peer-review feedback about the planned study, and easy retrieval by searching databases such as PubMed. The disadvantages in trying to publish protocols includes delays associated with manuscript handling and peer review, as well as costs, as few journals publish study protocols, and those journals mostly charge article-processing fees [ 37 ]. Authors who would like to make their protocol publicly available without publishing it in scholarly journals, could deposit their study protocols in publicly available repositories, such as the Open Science Framework ( https://osf.io/ ).

Q: How to appraise the quality of a methodological study?

A: To date, there is no published tool for appraising the risk of bias in a methodological study, but in principle, a methodological study could be considered as a type of observational study. Therefore, during conduct or appraisal, care should be taken to avoid the biases common in observational studies [ 38 ]. These biases include selection bias, comparability of groups, and ascertainment of exposure or outcome. In other words, to generate a representative sample, a comprehensive reproducible search may be necessary to build a sampling frame. Additionally, random sampling may be necessary to ensure that all the included research reports have the same probability of being selected, and the screening and selection processes should be transparent and reproducible. To ensure that the groups compared are similar in all characteristics, matching, random sampling or stratified sampling can be used. Statistical adjustments for between-group differences can also be applied at the analysis stage. Finally, duplicate data extraction can reduce errors in assessment of exposures or outcomes.

Q: Should I justify a sample size?

A: In all instances where one is not using the target population (i.e. the group to which inferences from the research report are directed) [ 39 ], a sample size justification is good practice. The sample size justification may take the form of a description of what is expected to be achieved with the number of articles selected, or a formal sample size estimation that outlines the number of articles required to answer the research question with a certain precision and power. Sample size justifications in methodological studies are reasonable in the following instances:

• Comparing two groups
• Determining a proportion, mean or another quantifier
• Determining factors associated with an outcome using regression-based analyses

For example, El Dib et al. computed a sample size requirement for a methodological study of diagnostic strategies in randomized trials, based on a confidence interval approach [ 40 ].

Q: What should I call my study?

A: Other terms which have been used to describe/label methodological studies include “ methodological review ”, “methodological survey” , “meta-epidemiological study” , “systematic review” , “systematic survey”, “meta-research”, “research-on-research” and many others. We recommend that the study nomenclature be clear, unambiguous, informative and allow for appropriate indexing. Methodological study nomenclature that should be avoided includes “ systematic review” – as this will likely be confused with a systematic review of a clinical question. “ Systematic survey” may also lead to confusion about whether the survey was systematic (i.e. using a preplanned methodology) or a survey using “ systematic” sampling (i.e. a sampling approach using specific intervals to determine who is selected) [ 32 ]. Any of the above meanings of the words “ systematic” may be true for methodological studies and could be potentially misleading. “ Meta-epidemiological study” is ideal for indexing, but not very informative as it describes an entire field. The term “ review ” may point towards an appraisal or “review” of the design, conduct, analysis or reporting (or methodological components) of the targeted research reports, yet it has also been used to describe narrative reviews [ 41 , 42 ]. The term “ survey ” is also in line with the approaches used in many methodological studies [ 9 ], and would be indicative of the sampling procedures of this study design. However, in the absence of guidelines on nomenclature, the term “ methodological study ” is broad enough to capture most of the scenarios of such studies.

Q: Should I account for clustering in my methodological study?

A: Data from methodological studies are often clustered. For example, articles coming from a specific source may have different reporting standards (e.g. the Cochrane Library). Articles within the same journal may be similar due to editorial practices and policies, reporting requirements and endorsement of guidelines. There is emerging evidence that these are real concerns that should be accounted for in analyses [ 43 ]. Some cluster variables are described in the section: “ What variables are relevant to methodological studies?”

A variety of modelling approaches can be used to account for correlated data, including the use of marginal, fixed or mixed effects regression models with appropriate computation of standard errors [ 44 ]. For example, Kosa et al. used generalized estimation equations to account for correlation of articles within journals [ 15 ]. Not accounting for clustering could lead to incorrect p -values, unduly narrow confidence intervals, and biased estimates [ 45 ].

Q: Should I extract data in duplicate?

A: Yes. Duplicate data extraction takes more time but results in less errors [ 19 ]. Data extraction errors in turn affect the effect estimate [ 46 ], and therefore should be mitigated. Duplicate data extraction should be considered in the absence of other approaches to minimize extraction errors. However, much like systematic reviews, this area will likely see rapid new advances with machine learning and natural language processing technologies to support researchers with screening and data extraction [ 47 , 48 ]. However, experience plays an important role in the quality of extracted data and inexperienced extractors should be paired with experienced extractors [ 46 , 49 ].

Q: Should I assess the risk of bias of research reports included in my methodological study?

A : Risk of bias is most useful in determining the certainty that can be placed in the effect measure from a study. In methodological studies, risk of bias may not serve the purpose of determining the trustworthiness of results, as effect measures are often not the primary goal of methodological studies. Determining risk of bias in methodological studies is likely a practice borrowed from systematic review methodology, but whose intrinsic value is not obvious in methodological studies. When it is part of the research question, investigators often focus on one aspect of risk of bias. For example, Speich investigated how blinding was reported in surgical trials [ 50 ], and Abraha et al., investigated the application of intention-to-treat analyses in systematic reviews and trials [ 51 ].

Q: What variables are relevant to methodological studies?

A: There is empirical evidence that certain variables may inform the findings in a methodological study. We outline some of these and provide a brief overview below:

• Country: Countries and regions differ in their research cultures, and the resources available to conduct research. Therefore, it is reasonable to believe that there may be differences in methodological features across countries. Methodological studies have reported loco-regional differences in reporting quality [ 52 , 53 ]. This may also be related to challenges non-English speakers face in publishing papers in English.
• Authors’ expertise: The inclusion of authors with expertise in research methodology, biostatistics, and scientific writing is likely to influence the end-product. Oltean et al. found that among randomized trials in orthopaedic surgery, the use of analyses that accounted for clustering was more likely when specialists (e.g. statistician, epidemiologist or clinical trials methodologist) were included on the study team [ 54 ]. Fleming et al. found that including methodologists in the review team was associated with appropriate use of reporting guidelines [ 55 ].
• Source of funding and conflicts of interest: Some studies have found that funded studies report better [ 56 , 57 ], while others do not [ 53 , 58 ]. The presence of funding would indicate the availability of resources deployed to ensure optimal design, conduct, analysis and reporting. However, the source of funding may introduce conflicts of interest and warrant assessment. For example, Kaiser et al. investigated the effect of industry funding on obesity or nutrition randomized trials and found that reporting quality was similar [ 59 ]. Thomas et al. looked at reporting quality of long-term weight loss trials and found that industry funded studies were better [ 60 ]. Kan et al. examined the association between industry funding and “positive trials” (trials reporting a significant intervention effect) and found that industry funding was highly predictive of a positive trial [ 61 ]. This finding is similar to that of a recent Cochrane Methodology Review by Hansen et al. [ 62 ]
• Journal characteristics: Certain journals’ characteristics may influence the study design, analysis or reporting. Characteristics such as journal endorsement of guidelines [ 63 , 64 ], and Journal Impact Factor (JIF) have been shown to be associated with reporting [ 63 , 65 – 67 ].
• Study size (sample size/number of sites): Some studies have shown that reporting is better in larger studies [ 53 , 56 , 58 ].
• Year of publication: It is reasonable to assume that design, conduct, analysis and reporting of research will change over time. Many studies have demonstrated improvements in reporting over time or after the publication of reporting guidelines [ 68 , 69 ].
• Type of intervention: In a methodological study of reporting quality of weight loss intervention studies, Thabane et al. found that trials of pharmacologic interventions were reported better than trials of non-pharmacologic interventions [ 70 ].
• Interactions between variables: Complex interactions between the previously listed variables are possible. High income countries with more resources may be more likely to conduct larger studies and incorporate a variety of experts. Authors in certain countries may prefer certain journals, and journal endorsement of guidelines and editorial policies may change over time.

Q: Should I focus only on high impact journals?

A: Investigators may choose to investigate only high impact journals because they are more likely to influence practice and policy, or because they assume that methodological standards would be higher. However, the JIF may severely limit the scope of articles included and may skew the sample towards articles with positive findings. The generalizability and applicability of findings from a handful of journals must be examined carefully, especially since the JIF varies over time. Even among journals that are all “high impact”, variations exist in methodological standards.

Q: Can I conduct a methodological study of qualitative research?

A: Yes. Even though a lot of methodological research has been conducted in the quantitative research field, methodological studies of qualitative studies are feasible. Certain databases that catalogue qualitative research including the Cumulative Index to Nursing & Allied Health Literature (CINAHL) have defined subject headings that are specific to methodological research (e.g. “research methodology”). Alternatively, one could also conduct a qualitative methodological review; that is, use qualitative approaches to synthesize methodological issues in qualitative studies.

Q: What reporting guidelines should I use for my methodological study?

A: There is no guideline that covers the entire scope of methodological studies. One adaptation of the PRISMA guidelines has been published, which works well for studies that aim to use the entire target population of research reports [ 71 ]. However, it is not widely used (40 citations in 2 years as of 09 December 2019), and methodological studies that are designed as cross-sectional or before-after studies require a more fit-for purpose guideline. A more encompassing reporting guideline for a broad range of methodological studies is currently under development [ 72 ]. However, in the absence of formal guidance, the requirements for scientific reporting should be respected, and authors of methodological studies should focus on transparency and reproducibility.

Q: What are the potential threats to validity and how can I avoid them?

A: Methodological studies may be compromised by a lack of internal or external validity. The main threats to internal validity in methodological studies are selection and confounding bias. Investigators must ensure that the methods used to select articles does not make them differ systematically from the set of articles to which they would like to make inferences. For example, attempting to make extrapolations to all journals after analyzing high-impact journals would be misleading.

Many factors (confounders) may distort the association between the exposure and outcome if the included research reports differ with respect to these factors [ 73 ]. For example, when examining the association between source of funding and completeness of reporting, it may be necessary to account for journals that endorse the guidelines. Confounding bias can be addressed by restriction, matching and statistical adjustment [ 73 ]. Restriction appears to be the method of choice for many investigators who choose to include only high impact journals or articles in a specific field. For example, Knol et al. examined the reporting of p -values in baseline tables of high impact journals [ 26 ]. Matching is also sometimes used. In the methodological study of non-randomized interventional studies of elective ventral hernia repair, Parker et al. matched prospective studies with retrospective studies and compared reporting standards [ 74 ]. Some other methodological studies use statistical adjustments. For example, Zhang et al. used regression techniques to determine the factors associated with missing participant data in trials [ 16 ].

With regard to external validity, researchers interested in conducting methodological studies must consider how generalizable or applicable their findings are. This should tie in closely with the research question and should be explicit. For example. Findings from methodological studies on trials published in high impact cardiology journals cannot be assumed to be applicable to trials in other fields. However, investigators must ensure that their sample truly represents the target sample either by a) conducting a comprehensive and exhaustive search, or b) using an appropriate and justified, randomly selected sample of research reports.

Even applicability to high impact journals may vary based on the investigators’ definition, and over time. For example, for high impact journals in the field of general medicine, Bouwmeester et al. included the Annals of Internal Medicine (AIM), BMJ, the Journal of the American Medical Association (JAMA), Lancet, the New England Journal of Medicine (NEJM), and PLoS Medicine ( n  = 6) [ 75 ]. In contrast, the high impact journals selected in the methodological study by Schiller et al. were BMJ, JAMA, Lancet, and NEJM ( n  = 4) [ 76 ]. Another methodological study by Kosa et al. included AIM, BMJ, JAMA, Lancet and NEJM ( n  = 5). In the methodological study by Thabut et al., journals with a JIF greater than 5 were considered to be high impact. Riado Minguez et al. used first quartile journals in the Journal Citation Reports (JCR) for a specific year to determine “high impact” [ 77 ]. Ultimately, the definition of high impact will be based on the number of journals the investigators are willing to include, the year of impact and the JIF cut-off [ 78 ]. We acknowledge that the term “generalizability” may apply differently for methodological studies, especially when in many instances it is possible to include the entire target population in the sample studied.

Finally, methodological studies are not exempt from information bias which may stem from discrepancies in the included research reports [ 79 ], errors in data extraction, or inappropriate interpretation of the information extracted. Likewise, publication bias may also be a concern in methodological studies, but such concepts have not yet been explored.

A proposed framework

In order to inform discussions about methodological studies, the development of guidance for what should be reported, we have outlined some key features of methodological studies that can be used to classify them. For each of the categories outlined below, we provide an example. In our experience, the choice of approach to completing a methodological study can be informed by asking the following four questions:

• What is the aim?

A methodological study may be focused on exploring sources of bias in primary or secondary studies (meta-bias), or how bias is analyzed. We have taken care to distinguish bias (i.e. systematic deviations from the truth irrespective of the source) from reporting quality or completeness (i.e. not adhering to a specific reporting guideline or norm). An example of where this distinction would be important is in the case of a randomized trial with no blinding. This study (depending on the nature of the intervention) would be at risk of performance bias. However, if the authors report that their study was not blinded, they would have reported adequately. In fact, some methodological studies attempt to capture both “quality of conduct” and “quality of reporting”, such as Richie et al., who reported on the risk of bias in randomized trials of pharmacy practice interventions [ 80 ]. Babic et al. investigated how risk of bias was used to inform sensitivity analyses in Cochrane reviews [ 81 ]. Further, biases related to choice of outcomes can also be explored. For example, Tan et al investigated differences in treatment effect size based on the outcome reported [ 82 ].

Methodological studies may report quality of reporting against a reporting checklist (i.e. adherence to guidelines) or against expected norms. For example, Croituro et al. report on the quality of reporting in systematic reviews published in dermatology journals based on their adherence to the PRISMA statement [ 83 ], and Khan et al. described the quality of reporting of harms in randomized controlled trials published in high impact cardiovascular journals based on the CONSORT extension for harms [ 84 ]. Other methodological studies investigate reporting of certain features of interest that may not be part of formally published checklists or guidelines. For example, Mbuagbaw et al. described how often the implications for research are elaborated using the Evidence, Participants, Intervention, Comparison, Outcome, Timeframe (EPICOT) format [ 30 ].

Sometimes investigators may be interested in how consistent reports of the same research are, as it is expected that there should be consistency between: conference abstracts and published manuscripts; manuscript abstracts and manuscript main text; and trial registration and published manuscript. For example, Rosmarakis et al. investigated consistency between conference abstracts and full text manuscripts [ 85 ].

In addition to identifying issues with reporting in primary and secondary studies, authors of methodological studies may be interested in determining the factors that are associated with certain reporting practices. Many methodological studies incorporate this, albeit as a secondary outcome. For example, Farrokhyar et al. investigated the factors associated with reporting quality in randomized trials of coronary artery bypass grafting surgery [ 53 ].

Methodological studies may also be used to describe methods or compare methods, and the factors associated with methods. Muller et al. described the methods used for systematic reviews and meta-analyses of observational studies [ 86 ].

Some methodological studies synthesize results from other methodological studies. For example, Li et al. conducted a scoping review of methodological reviews that investigated consistency between full text and abstracts in primary biomedical research [ 87 ].

Some methodological studies may investigate the use of names and terms in health research. For example, Martinic et al. investigated the definitions of systematic reviews used in overviews of systematic reviews (OSRs), meta-epidemiological studies and epidemiology textbooks [ 88 ].

In addition to the previously mentioned experimental methodological studies, there may exist other types of methodological studies not captured here.

• 2. What is the design?

Most methodological studies are purely descriptive and report their findings as counts (percent) and means (standard deviation) or medians (interquartile range). For example, Mbuagbaw et al. described the reporting of research recommendations in Cochrane HIV systematic reviews [ 30 ]. Gohari et al. described the quality of reporting of randomized trials in diabetes in Iran [ 12 ].

Some methodological studies are analytical wherein “analytical studies identify and quantify associations, test hypotheses, identify causes and determine whether an association exists between variables, such as between an exposure and a disease.” [ 89 ] In the case of methodological studies all these investigations are possible. For example, Kosa et al. investigated the association between agreement in primary outcome from trial registry to published manuscript and study covariates. They found that larger and more recent studies were more likely to have agreement [ 15 ]. Tricco et al. compared the conclusion statements from Cochrane and non-Cochrane systematic reviews with a meta-analysis of the primary outcome and found that non-Cochrane reviews were more likely to report positive findings. These results are a test of the null hypothesis that the proportions of Cochrane and non-Cochrane reviews that report positive results are equal [ 90 ].

• 3. What is the sampling strategy?

Methodological reviews with narrow research questions may be able to include the entire target population. For example, in the methodological study of Cochrane HIV systematic reviews, Mbuagbaw et al. included all of the available studies ( n  = 103) [ 30 ].

Many methodological studies use random samples of the target population [ 33 , 91 , 92 ]. Alternatively, purposeful sampling may be used, limiting the sample to a subset of research-related reports published within a certain time period, or in journals with a certain ranking or on a topic. Systematic sampling can also be used when random sampling may be challenging to implement.

• 4. What is the unit of analysis?

Many methodological studies use a research report (e.g. full manuscript of study, abstract portion of the study) as the unit of analysis, and inferences can be made at the study-level. However, both published and unpublished research-related reports can be studied. These may include articles, conference abstracts, registry entries etc.

Some methodological studies report on items which may occur more than once per article. For example, Paquette et al. report on subgroup analyses in Cochrane reviews of atrial fibrillation in which 17 systematic reviews planned 56 subgroup analyses [ 93 ].

This framework is outlined in Fig.  2 .

A proposed framework for methodological studies

Conclusions

Methodological studies have examined different aspects of reporting such as quality, completeness, consistency and adherence to reporting guidelines. As such, many of the methodological study examples cited in this tutorial are related to reporting. However, as an evolving field, the scope of research questions that can be addressed by methodological studies is expected to increase.

In this paper we have outlined the scope and purpose of methodological studies, along with examples of instances in which various approaches have been used. In the absence of formal guidance on the design, conduct, analysis and reporting of methodological studies, we have provided some advice to help make methodological studies consistent. This advice is grounded in good contemporary scientific practice. Generally, the research question should tie in with the sampling approach and planned analysis. We have also highlighted the variables that may inform findings from methodological studies. Lastly, we have provided suggestions for ways in which authors can categorize their methodological studies to inform their design and analysis.

Acknowledgements

Abbreviations, authors’ contributions.

LM conceived the idea and drafted the outline and paper. DOL and LT commented on the idea and draft outline. LM, LP and DOL performed literature searches and data extraction. All authors (LM, DOL, LT, LP, DBA) reviewed several draft versions of the manuscript and approved the final manuscript.

This work did not receive any dedicated funding.

Availability of data and materials

Ethics approval and consent to participate.

Not applicable.

Consent for publication

Competing interests.

DOL, DBA, LM, LP and LT are involved in the development of a reporting guideline for methodological studies.

Publisher’s Note

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

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• What Is a Research Design | Types, Guide & Examples

What Is a Research Design | Types, Guide & Examples

Published on June 7, 2021 by Shona McCombes . Revised on November 20, 2023 by Pritha Bhandari.

A research design is a strategy for answering your   research question  using empirical data. Creating a research design means making decisions about:

• Your overall research objectives and approach
• Whether you’ll rely on primary research or secondary research
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

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Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types.

• Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships
• Descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

• Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .

Observation methods

Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

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As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.

Operationalization

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample—by mail, online, by phone, or in person?

If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organizing and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).

On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarize your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A research design is a strategy for answering your   research question . It defines your overall approach and determines how you will collect and analyze data.

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

Quantitative research designs can be divided into two main categories:

• Correlational and descriptive designs are used to investigate characteristics, averages, trends, and associations between variables.
• Experimental and quasi-experimental designs are used to test causal relationships .

Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

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