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Writing an abstract - a six point checklist (with samples)

Posted in: abstract , dissertations

The abstract is a vital part of any research paper. It is the shop front for your work, and the first stop for your reader. It should provide a clear and succinct summary of your study, and encourage your readers to read more. An effective abstract, therefore should answer the following questions:

• Why did you do this study or project?
• What did you do and how?
• What did you find?
• What do your findings mean?

So here's our run down of the key elements of a well-written abstract.

• Size - A succinct and well written abstract should be between approximately 100- 250 words.
• Background - An effective abstract usually includes some scene-setting information which might include what is already known about the subject, related to the paper in question (a few short sentences).
• Purpose  - The abstract should also set out the purpose of your research, in other words, what is not known about the subject and hence what the study intended to examine (or what the paper seeks to present).
• Methods - The methods section should contain enough information to enable the reader to understand what was done, and how. It should include brief details of the research design, sample size, duration of study, and so on.
• Results - The results section is the most important part of the abstract. This is because readers who skim an abstract do so to learn about the findings of the study. The results section should therefore contain as much detail about the findings as the journal word count permits.
• Conclusion - This section should contain the most important take-home message of the study, expressed in a few precisely worded sentences. Usually, the finding highlighted here relates to the primary outcomes of the study. However, other important or unexpected findings should also be mentioned. It is also customary, but not essential, to express an opinion about the theoretical or practical implications of the findings, or the importance of their findings for the field. Thus, the conclusions may contain three elements:
• The primary take-home message.
• Any additional findings of importance.
• Implications for future studies.

Example Abstract 2: Engineering Development and validation of a three-dimensional finite element model of the pelvic bone.

Abstract from: Dalstra, M., Huiskes, R. and Van Erning, L., 1995. Development and validation of a three-dimensional finite element model of the pelvic bone. Journal of biomechanical engineering, 117(3), pp.272-278.

And finally...  A word on abstract types and styles

Abstract types can differ according to subject discipline. You need to determine therefore which type of abstract you should include with your paper. Here are two of the most common types with examples.

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.

Descriptive Abstract A descriptive abstract indicates the type of information found in the work. It makes no judgements 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 summarised. Some researchers consider it an outline of the work, rather than a summary. Descriptive abstracts are usually very short, 100 words or less.

Adapted from Andrade C. How to write a good abstract for a scientific paper or conference presentation. Indian J Psychiatry. 2011 Apr;53(2):172-5. doi: 10.4103/0019-5545.82558. PMID: 21772657; PMCID: PMC3136027 .

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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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• How to Write an Abstract | Steps & Examples

How to Write an Abstract | Steps & Examples

Published on 1 March 2019 by Shona McCombes . Revised on 10 October 2022 by Eoghan Ryan.

An abstract is a short summary of a longer work (such as a dissertation or research paper ). The abstract concisely reports the aims and outcomes of your research, so that readers know exactly what your paper is about.

Although the structure may vary slightly depending on your discipline, your abstract should describe the purpose of your work, the methods you’ve used, and the conclusions you’ve drawn.

One common way to structure your abstract is to use the IMRaD structure. This stands for:

• Introduction

Abstracts are usually around 100–300 words, but there’s often a strict word limit, so make sure to check the relevant requirements.

In a dissertation or thesis , include the abstract on a separate page, after the title page and acknowledgements but before the table of contents .

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Table of contents

Abstract example, when to write an abstract, step 1: introduction, step 2: methods, step 3: results, step 4: discussion, tips for writing an abstract, frequently asked questions about abstracts.

Hover over the different parts of the abstract to see how it is constructed.

This paper examines the role of silent movies as a mode of shared experience in the UK during the early twentieth century. At this time, high immigration rates resulted in a significant percentage of non-English-speaking citizens. These immigrants faced numerous economic and social obstacles, including exclusion from public entertainment and modes of discourse (newspapers, theater, radio).

Incorporating evidence from reviews, personal correspondence, and diaries, this study demonstrates that silent films were an affordable and inclusive source of entertainment. It argues for the accessible economic and representational nature of early cinema. These concerns are particularly evident in the low price of admission and in the democratic nature of the actors’ exaggerated gestures, which allowed the plots and action to be easily grasped by a diverse audience despite language barriers.

Keywords: silent movies, immigration, public discourse, entertainment, early cinema, language barriers.

Prevent plagiarism, run a free check.

You will almost always have to include an abstract when:

• Completing a thesis or dissertation
• Submitting a research paper to an academic journal
• Writing a book proposal
• Applying for research grants

It’s easiest to write your abstract last, because it’s a summary of the work you’ve already done. Your abstract should:

• Be a self-contained text, not an excerpt from your paper
• Be fully understandable on its own
• Reflect the structure of your larger work

Start by clearly defining the purpose of your research. What practical or theoretical problem does the research respond to, or what research question did you aim to answer?

You can include some brief context on the social or academic relevance of your topic, but don’t go into detailed background information. If your abstract uses specialised terms that would be unfamiliar to the average academic reader or that have various different meanings, give a concise definition.

After identifying the problem, state the objective of your research. Use verbs like “investigate,” “test,” “analyse,” or “evaluate” to describe exactly what you set out to do.

This part of the abstract can be written in the present or past simple tense  but should never refer to the future, as the research is already complete.

• This study will investigate the relationship between coffee consumption and productivity.
• This study investigates the relationship between coffee consumption and productivity.

Next, indicate the research methods that you used to answer your question. This part should be a straightforward description of what you did in one or two sentences. It is usually written in the past simple tense, as it refers to completed actions.

• Structured interviews will be conducted with 25 participants.
• Structured interviews were conducted with 25 participants.

Don’t evaluate validity or obstacles here — the goal is not to give an account of the methodology’s strengths and weaknesses, but to give the reader a quick insight into the overall approach and procedures you used.

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Next, summarise the main research results . This part of the abstract can be in the present or past simple tense.

• Our analysis has shown a strong correlation between coffee consumption and productivity.
• Our analysis shows a strong correlation between coffee consumption and productivity.
• Our analysis showed a strong correlation between coffee consumption and productivity.

Depending on how long and complex your research is, you may not be able to include all results here. Try to highlight only the most important findings that will allow the reader to understand your conclusions.

Finally, you should discuss the main conclusions of your research : what is your answer to the problem or question? The reader should finish with a clear understanding of the central point that your research has proved or argued. Conclusions are usually written in the present simple tense.

• We concluded that coffee consumption increases productivity.
• We conclude that coffee consumption increases productivity.

If there are important limitations to your research (for example, related to your sample size or methods), you should mention them briefly in the abstract. This allows the reader to accurately assess the credibility and generalisability of your research.

If your aim was to solve a practical problem, your discussion might include recommendations for implementation. If relevant, you can briefly make suggestions for further research.

If your paper will be published, you might have to add a list of keywords at the end of the abstract. These keywords should reference the most important elements of the research to help potential readers find your paper during their own literature searches.

Be aware that some publication manuals, such as APA Style , have specific formatting requirements for these keywords.

It can be a real challenge to condense your whole work into just a couple of hundred words, but the abstract will be the first (and sometimes only) part that people read, so it’s important to get it right. These strategies can help you get started.

Read other abstracts

The best way to learn the conventions of writing an abstract in your discipline is to read other people’s. You probably already read lots of journal article abstracts while conducting your literature review —try using them as a framework for structure and style.

You can also find lots of dissertation abstract examples in thesis and dissertation databases .

Reverse outline

Not all abstracts will contain precisely the same elements. For longer works, you can write your abstract through a process of reverse outlining.

For each chapter or section, list keywords and draft one to two sentences that summarise the central point or argument. This will give you a framework of your abstract’s structure. Next, revise the sentences to make connections and show how the argument develops.

Write clearly and concisely

A good abstract is short but impactful, so make sure every word counts. Each sentence should clearly communicate one main point.

To keep your abstract or summary short and clear:

• Avoid passive sentences: Passive constructions are often unnecessarily long. You can easily make them shorter and clearer by using the active voice.
• Avoid long sentences: Substitute longer expressions for concise expressions or single words (e.g., “In order to” for “To”).
• Avoid obscure jargon: The abstract should be understandable to readers who are not familiar with your topic.
• Avoid repetition and filler words: Replace nouns with pronouns when possible and eliminate unnecessary words.
• Avoid detailed descriptions: An abstract is not expected to provide detailed definitions, background information, or discussions of other scholars’ work. Instead, include this information in the body of your thesis or paper.

If you’re struggling to edit down to the required length, you can get help from expert editors with Scribbr’s professional proofreading services .

Check your formatting

If you are writing a thesis or dissertation or submitting to a journal, there are often specific formatting requirements for the abstract—make sure to check the guidelines and format your work correctly. For APA research papers you can follow the APA abstract format .

Checklist: Abstract

The word count is within the required length, or a maximum of one page.

The abstract appears after the title page and acknowledgements and before the table of contents .

I have clearly stated my research problem and objectives.

I have briefly described my methodology .

I have summarized the most important results .

I have stated my main conclusions .

I have mentioned any important limitations and recommendations.

The abstract can be understood by someone without prior knowledge of the topic.

You've written a great abstract! Use the other checklists to continue improving your thesis or dissertation.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

• To help potential readers determine the relevance of your paper for their own research.
• To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

An abstract for a thesis or dissertation is usually around 150–300 words. There’s often a strict word limit, so make sure to check your university’s requirements.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

• The abstract should focus on your original research, not on the work of others.
• The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

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Abstract Writing: A Step-by-Step Guide With Tips & Examples

Table of Contents

Introduction

Abstracts of research papers have always played an essential role in describing your research concisely and clearly to researchers and editors of journals, enticing them to continue reading. However, with the widespread availability of scientific databases, the need to write a convincing abstract is more crucial now than during the time of paper-bound manuscripts.

Abstracts serve to "sell" your research and can be compared with your "executive outline" of a resume or, rather, a formal summary of the critical aspects of your work. Also, it can be the "gist" of your study. Since most educational research is done online, it's a sign that you have a shorter time for impressing your readers, and have more competition from other abstracts that are available to be read.

The APCI (Academic Publishing and Conferences International) articulates 12 issues or points considered during the final approval process for conferences & journals and emphasises the importance of writing an abstract that checks all these boxes (12 points). Since it's the only opportunity you have to captivate your readers, you must invest time and effort in creating an abstract that accurately reflects the critical points of your research.

With that in mind, let’s head over to understand and discover the core concept and guidelines to create a substantial abstract. Also, learn how to organise the ideas or plots into an effective abstract that will be awe-inspiring to the readers you want to reach.

What is Abstract? Definition and Overview

The word "Abstract' is derived from Latin abstractus meaning "drawn off." This etymological meaning also applies to art movements as well as music, like abstract expressionism. In this context, it refers to the revealing of the artist's intention.

Based on this, you can determine the meaning of an abstract: A condensed research summary. It must be self-contained and independent of the body of the research. However, it should outline the subject, the strategies used to study the problem, and the methods implemented to attain the outcomes. The specific elements of the study differ based on the area of study; however, together, it must be a succinct summary of the entire research paper.

Abstracts are typically written at the end of the paper, even though it serves as a prologue. In general, the abstract must be in a position to:

• Describe the paper.
• Identify the problem or the issue at hand.
• Explain to the reader the research process, the results you came up with, and what conclusion you've reached using these results.
• Include keywords to guide your strategy and the content.

Furthermore, the abstract you submit should not reflect upon any of  the following elements:

• Examine, analyse or defend the paper or your opinion.
• What you want to study, achieve or discover.
• Be redundant or irrelevant.

After reading an abstract, your audience should understand the reason - what the research was about in the first place, what the study has revealed and how it can be utilised or can be used to benefit others. You can understand the importance of abstract by knowing the fact that the abstract is the most frequently read portion of any research paper. In simpler terms, it should contain all the main points of the research paper.

What is the Purpose of an Abstract?

Abstracts are typically an essential requirement for research papers; however, it's not an obligation to preserve traditional reasons without any purpose. Abstracts allow readers to scan the text to determine whether it is relevant to their research or studies. The abstract allows other researchers to decide if your research paper can provide them with some additional information. A good abstract paves the interest of the audience to pore through your entire paper to find the content or context they're searching for.

Abstract writing is essential for indexing, as well. The Digital Repository of academic papers makes use of abstracts to index the entire content of academic research papers. Like meta descriptions in the regular Google outcomes, abstracts must include keywords that help researchers locate what they seek.

Types of Abstract

Informative and Descriptive are two kinds of abstracts often used in scientific writing.

A descriptive abstract gives readers an outline of the author's main points in their study. The reader can determine if they want to stick to the research work, based on their interest in the topic. An abstract that is descriptive is similar to the contents table of books, however, the format of an abstract depicts complete sentences encapsulated in one paragraph. It is unfortunate that the abstract can't be used as a substitute for reading a piece of writing because it's just an overview, which omits readers from getting an entire view. Also, it cannot be a way to fill in the gaps the reader may have after reading this kind of abstract since it does not contain crucial information needed to evaluate the article.

To conclude, a descriptive abstract is:

• A simple summary of the task, just summarises the work, but some researchers think it is much more of an outline
• Typically, the length is approximately 100 words. It is too short when compared to an informative abstract.
• A brief explanation but doesn't provide the reader with the complete information they need;
• An overview that omits conclusions and results

An informative abstract is a comprehensive outline of the research. There are times when people rely on the abstract as an information source. And the reason is why it is crucial to provide entire data of particular research. A well-written, informative abstract could be a good substitute for the remainder of the paper on its own.

A well-written abstract typically follows a particular style. The author begins by providing the identifying information, backed by citations and other identifiers of the papers. Then, the major elements are summarised to make the reader aware of the study. It is followed by the methodology and all-important findings from the study. The conclusion then presents study results and ends the abstract with a comprehensive summary.

In a nutshell, an informative abstract:

• Has a length that can vary, based on the subject, but is not longer than 300 words.
• Contains all the content-like methods and intentions
• Offers evidence and possible recommendations.

Informative Abstracts are more frequent than descriptive abstracts because of their extensive content and linkage to the topic specifically. You should select different types of abstracts to papers based on their length: informative abstracts for extended and more complex abstracts and descriptive ones for simpler and shorter research papers.

What are the Characteristics of a Good Abstract?

• A good abstract clearly defines the goals and purposes of the study.
• It should clearly describe the research methodology with a primary focus on data gathering, processing, and subsequent analysis.
• A good abstract should provide specific research findings.
• It presents the principal conclusions of the systematic study.
• It should be concise, clear, and relevant to the field of study.
• A well-designed abstract should be unifying and coherent.
• It is easy to grasp and free of technical jargon.
• It is written impartially and objectively.

What are the various sections of an ideal Abstract?

By now, you must have gained some concrete idea of the essential elements that your abstract needs to convey . Accordingly, the information is broken down into six key sections of the abstract, which include:

An Introduction or Background

Research methodology, objectives and goals, limitations.

Let's go over them in detail.

The introduction, also known as background, is the most concise part of your abstract. Ideally, it comprises a couple of sentences. Some researchers only write one sentence to introduce their abstract. The idea behind this is to guide readers through the key factors that led to your study.

It's understandable that this information might seem difficult to explain in a couple of sentences. For example, think about the following two questions like the background of your study:

• What is currently available about the subject with respect to the paper being discussed?
• What isn't understood about this issue? (This is the subject of your research)

While writing the abstract’s introduction, make sure that it is not lengthy. Because if it crosses the word limit, it may eat up the words meant to be used for providing other key information.

Research methodology is where you describe the theories and techniques you used in your research. It is recommended that you describe what you have done and the method you used to get your thorough investigation results. Certainly, it is the second-longest paragraph in the abstract.

In the research methodology section, it is essential to mention the kind of research you conducted; for instance, qualitative research or quantitative research (this will guide your research methodology too) . If you've conducted quantitative research, your abstract should contain information like the sample size, data collection method, sampling techniques, and duration of the study. Likewise, your abstract should reflect observational data, opinions, questionnaires (especially the non-numerical data) if you work on qualitative research.

The research objectives and goals speak about what you intend to accomplish with your research. The majority of research projects focus on the long-term effects of a project, and the goals focus on the immediate, short-term outcomes of the research. It is possible to summarise both in just multiple sentences.

In stating your objectives and goals, you give readers a picture of the scope of the study, its depth and the direction your research ultimately follows. Your readers can evaluate the results of your research against the goals and stated objectives to determine if you have achieved the goal of your research.

In the end, your readers are more attracted by the results you've obtained through your study. Therefore, you must take the time to explain each relevant result and explain how they impact your research. The results section exists as the longest in your abstract, and nothing should diminish its reach or quality.

One of the most important things you should adhere to is to spell out details and figures on the results of your research.

Instead of making a vague assertion such as, "We noticed that response rates varied greatly between respondents with high incomes and those with low incomes", Try these: "The response rate was higher for high-income respondents than those with lower incomes (59 30 percent vs. 30 percent in both cases; P<0.01)."

You're likely to encounter certain obstacles during your research. It could have been during data collection or even during conducting the sample . Whatever the issue, it's essential to inform your readers about them and their effects on the research.

Research limitations offer an opportunity to suggest further and deep research. If, for instance, you were forced to change for convenient sampling and snowball samples because of difficulties in reaching well-suited research participants, then you should mention this reason when you write your research abstract. In addition, a lack of prior studies on the subject could hinder your research.

Your conclusion should include the same number of sentences to wrap the abstract as the introduction. The majority of researchers offer an idea of the consequences of their research in this case.

Your conclusion should include three essential components:

• A significant take-home message.
• Corresponding important findings.
• The Interpretation.

Even though the conclusion of your abstract needs to be brief, it can have an enormous influence on the way that readers view your research. Therefore, make use of this section to reinforce the central message from your research. Be sure that your statements reflect the actual results and the methods you used to conduct your research.

Good Abstract Examples

Abstract example #1.

Children’s consumption behavior in response to food product placements in movies.

The abstract:

"Almost all research into the effects of brand placements on children has focused on the brand's attitudes or behavior intentions. Based on the significant differences between attitudes and behavioral intentions on one hand and actual behavior on the other hand, this study examines the impact of placements by brands on children's eating habits. Children aged 6-14 years old were shown an excerpt from the popular film Alvin and the Chipmunks and were shown places for the item Cheese Balls. Three different versions were developed with no placements, one with moderately frequent placements and the third with the highest frequency of placement. The results revealed that exposure to high-frequency places had a profound effect on snack consumption, however, there was no impact on consumer attitudes towards brands or products. The effects were not dependent on the age of the children. These findings are of major importance to researchers studying consumer behavior as well as nutrition experts as well as policy regulators."

Abstract Example #2

Social comparisons on social media: The impact of Facebook on young women’s body image concerns and mood. The abstract:

"The research conducted in this study investigated the effects of Facebook use on women's moods and body image if the effects are different from an internet-based fashion journal and if the appearance comparison tendencies moderate one or more of these effects. Participants who were female ( N = 112) were randomly allocated to spend 10 minutes exploring their Facebook account or a magazine's website or an appearance neutral control website prior to completing state assessments of body dissatisfaction, mood, and differences in appearance (weight-related and facial hair, face, and skin). Participants also completed a test of the tendency to compare appearances. The participants who used Facebook were reported to be more depressed than those who stayed on the control site. In addition, women who have the tendency to compare appearances reported more facial, hair and skin-related issues following Facebook exposure than when they were exposed to the control site. Due to its popularity it is imperative to conduct more research to understand the effect that Facebook affects the way people view themselves."

Abstract Example #3

The Relationship Between Cell Phone Use and Academic Performance in a Sample of U.S. College Students

"The cellphone is always present on campuses of colleges and is often utilised in situations in which learning takes place. The study examined the connection between the use of cell phones and the actual grades point average (GPA) after adjusting for predictors that are known to be a factor. In the end 536 students in the undergraduate program from 82 self-reported majors of an enormous, public institution were studied. Hierarchical analysis ( R 2 = .449) showed that use of mobile phones is significantly ( p < .001) and negative (b equal to -.164) connected to the actual college GPA, after taking into account factors such as demographics, self-efficacy in self-regulated learning, self-efficacy to improve academic performance, and the actual high school GPA that were all important predictors ( p < .05). Therefore, after adjusting for other known predictors increasing cell phone usage was associated with lower academic performance. While more research is required to determine the mechanisms behind these results, they suggest the need to educate teachers and students to the possible academic risks that are associated with high-frequency mobile phone usage."

Quick tips on writing a good abstract

There exists a common dilemma among early age researchers whether to write the abstract at first or last? However, it's recommended to compose your abstract when you've completed the research since you'll have all the information to give to your readers. You can, however, write a draft at the beginning of your research and add in any gaps later.

If you find abstract writing a herculean task, here are the few tips to help you with it:

1. Always develop a framework to support your abstract

Before writing, ensure you create a clear outline for your abstract. Divide it into sections and draw the primary and supporting elements in each one. You can include keywords and a few sentences that convey the essence of your message.

2. Review Other Abstracts

Abstracts are among the most frequently used research documents, and thousands of them were written in the past. Therefore, prior to writing yours, take a look at some examples from other abstracts. There are plenty of examples of abstracts for dissertations in the dissertation and thesis databases.

3. Avoid Jargon To the Maximum

When you write your abstract, focus on simplicity over formality. You should  write in simple language, and avoid excessive filler words or ambiguous sentences. Keep in mind that your abstract must be readable to those who aren't acquainted with your subject.

4. Focus on Your Research

It's a given fact that the abstract you write should be about your research and the findings you've made. It is not the right time to mention secondary and primary data sources unless it's absolutely required.

Conclusion: How to Structure an Interesting Abstract?

Abstracts are a short outline of your essay. However, it's among the most important, if not the most important. The process of writing an abstract is not straightforward. A few early-age researchers tend to begin by writing it, thinking they are doing it to "tease" the next step (the document itself). However, it is better to treat it as a spoiler.

The simple, concise style of the abstract lends itself to a well-written and well-investigated study. If your research paper doesn't provide definitive results, or the goal of your research is questioned, so will the abstract. Thus, only write your abstract after witnessing your findings and put your findings in the context of a larger scenario.

The process of writing an abstract can be daunting, but with these guidelines, you will succeed. The most efficient method of writing an excellent abstract is to centre the primary points of your abstract, including the research question and goals methods, as well as key results.

Interested in learning more about dedicated research solutions? Go to the SciSpace product page to find out how our suite of products can help you simplify your research workflows so you can focus on advancing science.

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GUIDANCE ON SUBMISSION OF QUALITATIVE RESEARCH ABSTRACTS

General guidance

Authors should refer to the general information and guidelines contained in the Society’s “Guidance for Submission of Abstracts”. The general guidance therein applies to qualitative research abstracts. This includes the maximum permitted limit of 250 words, and the instruction that abstracts should be structured. In keeping with all submissions to the Society, subsequent presentation must reflect and elaborate on the abstract. Research studies or findings not referred to in the abstract should not be presented.

This document contains specific guidance on the content of qualitative research abstracts.

How guidance on content is to be applied by authors and Council.

Council recognises that the nature of qualitative research makes its comprehensive communication within short abstracts a challenge.  Therefore, whilst the key areas to be included within abstracts are set out below, it is recognised that emphasis on each area will vary in different cases, and that not every listed sub-area will be covered.  Certain elements are likely to receive greater attention at the time of presentation than within the abstract.  In particular, presentation of the paper should include sufficient empirical data to allow judgement of the conclusions drawn.

Content of abstracts

• Research question/objective and design: clear statement of the research question/objective and its relevance. Methodological or theoretical perspectives should be clearly outlined.
• Population and sampling: who the subjects were and what sampling strategies were used .
• Methods of data collection: clear exposition of data collection: access, selection, method of collection, type of data, relationship of researcher to subjects/setting (what data were collected, from where/whom, by whom)
• Quality of data and analysis: strategies to enhance quality of data analysis e.g. triangulation, respondent validation; and to enhance validity e.g. attention to negative cases, consideration of alternative explanations, team analysis, peer review panels
• Application of critical thinking to analysis: attention to the influence of the researcher on data collected and on analysis. Critical approach to the status of data collected
• Theoretical and empirical context: evidence that design and analysis take into account and add to previous knowledge
• Conclusions: justified in relation to data collected, sufficient original data presented to substantiate interpretations, reasoned consideration of transferability  to groups/settings beyond those studied

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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

*The Caveat *

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.  

Overview: S tructuring a dissertation or thesis

• Acknowledgements page
• Abstract (or executive summary)
• Table of contents , list of figures and tables
• Chapter 1: Introduction
• Chapter 2: Literature review
• Chapter 3: Methodology
• Chapter 4: Results
• Chapter 5: Discussion
• Chapter 6: Conclusion
• Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

• The introduction chapter presents the core research question and aims .
• The literature review chapter assesses what the current research says about this question.
• The methodology, results and discussion chapters go about undertaking new research about this question.
• The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

• Succinct (not overly lengthy or verbose)
• Specific (not vague or ambiguous)
• Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

• The broader area of the research (i.e. the overarching topic)
• The specific focus of your research (i.e. your specific context)
• Indication of research design (e.g. quantitative , qualitative , or  mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

• Your dissertation supervisor or committee.
• Any professors, lecturers or academics that helped you understand the topic or methodologies.
• Any tutors, mentors or advisors.
• Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

• Your research questions and aims – what key question(s) did your research aim to answer?
• Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
• Your findings – following your own research, what did do you discover?
• Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

Table of contents

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

• What will you be investigating (in plain-language, big picture-level)?
• Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
• What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
• What is the scope of your study? In other words, what will and won’t you cover ?
• How will you approach your research? In other words, what methodology will you adopt?
• How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

• What does the literature currently say about the topic you’re investigating?
• Is the literature lacking or well established? Is it divided or in disagreement?
• How does your research fit into the bigger picture?
• How does your research contribute something original?
• How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

• Exactly HOW will you carry out your research (i.e. what is your intended research design)?
• Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings? In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

• Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the  Grad Coach Blog .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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36 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Thank you soo much sir, for the opportunity to express my skills

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

wow this is an amazing gain in my life

This is so good

How can i arrange my specific objectives in my dissertation?

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• Research article
• Open access
• Published: 10 December 2020

Qualitative research methods in medical dissertations: an observational methodological study on prevalence and reporting quality of dissertation abstracts in a German university

• Charlotte Ullrich   ORCID: orcid.org/0000-0002-9757-913X 1 ,
• Anna Stürmlinger 1 ,
• Michel Wensing 1 &
• Katja Krug 1  

BMC Medical Research Methodology volume  20 , Article number:  301 ( 2020 ) Cite this article

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Metrics details

Qualitative methods offer a unique contribution to health research. Academic dissertations in the medical field provide an opportunity to explore research practice. Our aim was to assess the use of qualitative methods in dissertations in the medical field.

By means of a methodological observational study, an analysis of all academic medical dissertations’ abstracts between 1998 and 2018 in a repository databank of a large medical university faculty in Germany was performed. This included MD dissertations (Dr. med. (dent.)) and medical science dissertations (Dr. sc. hum.). All abstracts including “qualitativ*” were screened for studies using qualitative research methods. Data were extracted from abstracts using a category grid considering a) general characteristics (year, language, degree type), b) discipline, c) study design (mixed methods/qualitative only, data conduction, data analysis), d) sample (size and participants) and e) technologies used (data analysis software and recording technology). Thereby reporting quality was assessed.

In total, 103 abstracts of medical dissertations between 1998 and 2018 (1.4% of N  = 7619) were included, 60 of MD dissertations and 43 of medical sciences dissertations. Half of the abstracts ( n  = 51) referred to dissertations submitted since 2014. Most abstracts related to public health/hygiene ( n  = 27) and general practice ( n  = 26), followed by medical psychology ( n  = 19). About half of the studies ( n  = 47) used qualitative research methods exclusively, the other half ( n  = 56) used mixed methods. For data collection, primarily individual interviews were used ( n  = 80), followed by group interviews ( n  = 33) and direct observation ( n  = 11). Patients ( n  = 36), physicians ( n  = 36) and healthcare professionals ( n  = 17) were the most frequent research participants. Incomplete reporting of participants and data analysis was common ( n  = 67). Nearly half of the abstracts ( n  = 46) lacked information on how data was analysed, most of the remaining ( n  = 43) used some form of content analysis. In summary, 36 abstracts provided all crucial data (participants, sample size,; data collection and analysis method).

A small number of academic dissertations used qualitative research methods. About a third of these reported all key aspects of the methods used in the abstracts. Further research on the quality of choice and reporting of methods for qualitative research in dissertations is recommended.

Peer Review reports

Qualitative research methods offer a unique contribution to health research, particular for exploration of the experiences of patients, healthcare professionals and others [ 1 , 2 , 3 , 4 , 5 ]. While (general) epidemiology primarily addresses health and healthcare in populations and clinical research concentrates on medical interventions and health prognosis, qualitative research methods focus on different actors’ perspectives, experiences and behaviours in health-related contexts. Qualitative research entails a broad spectrum of methods of data conduction and data analysis: individual interviews illuminate individual perceptions [ 6 ], group interviews deliver insights into shared norms and opinions [ 7 ], direct observations facilitate understandings of behaviours in healthcare practice [ 8 , 9 , 10 ] and documents can offer insights into discourses and self-representations [ 11 ]. For data analysis, methods combining inductive and deductive steps are most suitable for exploratory research questions utilizing existing results, theories and concepts [ 12 ]. Given these prospects, little is known on the practice of applying qualitative research methods, especially concerning medicine.

In dissertations, a foundation for future scientific work is laid; therefore, guidance and rigour are of special importance [ 13 ]. Dissertations in medical departments provide a good opportunity to explore research practices of students and young academics. In Germany, about 60% of all graduating medical students complete an academic dissertation [ 14 ], which they usually finish parallel to medical school within a full-time equivalent of about a year [ 15 , 16 , 17 , 18 ]. As a by-product, medical doctoral students are increasingly among the authors of published research, holding first-authorship in about 25% [ 18 , 19 , 20 ].

In Germany, basic scientific training is a required part of the medical curriculum and recent policies put even more emphasis on the development of scientific competencies [ 15 , 21 , 22 ]. National regulations specify scientific competencies giving explicit recommendations for quantitative methods. Medical students have rarely received training in qualitative methods. However, health care professions and qualitative methods share a perspective directed to practice and interactions. Interviews and observations are already commonly used as clinical and diagnostic tools.

In addition to the doctoral degrees for medical and dental graduates (Doctor medicinae (dentariae), Dr. med. (dent.)), students with other disciplinary backgrounds (e.g. natural scientists, psychologists and social scientists) complete dissertations at medical faculties in Germany (often labelled Doctor scientiarum humanarum, Dr. sc. hum. or Doctor rerum medicarum, Dr. rer. medic.). Although regulations differ slightly, the degrees are usually situated within and regulated by the same institutional culture and context (e.g. faculty, department, supervision and aspired publications).

The aim of this study was to understand the current practice of applying qualitative research methods helping identify gaps in reporting and need for guidance. By means of a methodological study – a subtype of observational studies that evaluates the design, analysis of reporting of other research-related reports [ 23 ] – we investigated volume and variety of the use of qualitative research methods in dissertations at a German medical faculty. Hereby we wanted to inform methodological advances to health research and outline implications for medical education in scientific competencies training.

Search strategy

Dissertations in the medical field were retrospectively assessed: In a document analysis, all dissertation abstracts at one medical faculty were reviewed. This faculty was chosen as it is one of the oldest and largest medical faculties in Germany, with a strong research tradition and a high dissertation rate among graduating students. All abstracts from 01/01/1998 to 31/12/2018, which were publicly available in the repository databank of the university, were reviewed. This included MD dissertations (Dr. med. (dent.)) and medical science dissertations (Dr. sc. hum.) written in German or English. All types of studies using qualitative research methods, all types of human participants, all types of interventions and all types of measures were eligible. We focused on abstracts, because full text dissertations are not publicly available and are helpful to get an overview of a number of method-related issues. Although serving as a proxy, abstracts should provide a sufficient summary of the dissertation, including crucial information on study design, independently from the full text. In the databank, relevant documents had to be labelled a) “abstract of a medical dissertation” (referring to both degree types). To further identify dissertations using qualitative methods b) the search term “qualitativ*” was used as an inclusion criterium.

Selection and data extraction

All identified abstracts were pre-screened independently by two researchers (AS, LS) and then reviewed by the main research team (KK, AS, CU) excluding abstracts using “qualitativ*” only in respect to non-methods-related issues (e.g. quality of life). Data on a) general characteristics (year, language, degree type), b) discipline, c) study design (mixed methods/qualitative only, data conduction, data analysis), d) sample (size and participants) and e) technologies used (data analysis software and recording technology) (see App. 2) was then extracted independently by two team members (AS, LS) and crossed-checked (KK, CU). Data extraction was initially guided by two widely used reporting guidelines for qualitative health research articles [ 24 , 25 ] and adapted to reflect the abstract format: Abstracts provided comparable information on the set-up of study design and sample. Reporting of results was not assessed due to heterogeneity and briefness. Data extraction forms were piloted and adjusted to inductive findings. Disagreements were discussed, assessed and solved by consensus by the main research team (KK, AS, CU). Extracted data were analysed and reported as absolute and relative frequencies. As all abstracts were available, no further data was obtained from authors.

Search results

Out of a total of 7619 dissertation abstracts, 296 dissertations were initially identified. Of these, 173 abstracts were excluded from the study as “qualitativ*” in these abstracts did not refer to the research method. Additionally, 20 abstracts (12 medicine, 8 medical science) were not further included in the analysis due to an ambiguous and inconclusive use of the label “qualitative methods” and/or restricted comparability with the otherwise pre-dominant interview-based study designs: a) a qualitative research design was stated, but no further information on the approach was given ( n  = 7), b) no explicit distinction was made between qualitative research design and a clinical diagnostic approach ( n  = 4), c) the qualitative approach comprised of additional free text answers in written questionnaires only ( n  = 6), and d) only document analysis or observation was used ( n  = 3). In total, 103 abstracts (1.4% of 7619) were included in the analysis.

Low but increasing use

Since 1998, the number of dissertations applying qualitative methods has continually increased while the total number of dissertations remained stable (between n  = 314 in 2006 and n  = 410 in 1999 and 2008, M (1998–2018) = 362.8, SD = 26.1) (Fig.  1 ). Before 2005 there was yearly not more than one dissertation that used qualitative methods. Since then, the number has steadily raised to more than 10 dissertations per year, equivalent to an increase from 0.28% in 1998 to 3.42% in 2018 of all listed dissertation abstracts per year.

Number of all dissertations and dissertations using qualitative methods per year between 1998 and 2018

General characteristics

Abstracts nearly equally referred to dissertations leading to an MD degree (Dr. med. n  = 57, Dr. med. Dent. n  = 3) and medical science degree (Dr. sc. hum. n  = 43), respectively. The included dissertation abstracts were based in 12 different sub-specialties , most in general practice ( n  = 26), in public health and hygiene ( n  = 27) and medical psychology ( n  = 19); the Dr. med. (dent.) abstracts having a higher share in general practice ( n  = 21) and the Dr. sc. hum. abstracts in public health/hygiene ( n  = 16) (s. Table  1 ).

Most abstracts followed at least roughly the common structure of background, methods, results and conclusion. The length of the abstracts varied between less than one and more than three pages, with most abstracts being one to two pages long; 77 abstracts were written in German and 26 in English.

Study design

About half of the studies used qualitative research methods exclusively ( n  = 47; 60% of Dr. med. (dent.) abstracts, 26% of Dr. sc. hum. abstracts), the other half mixed methods ( n  = 56; 40% of Dr. med. (dent.) abstracts, 74% of Dr. sc. hum. abstracts; Table 1 ). Individual interviews were the most common form of data collection ( n  = 80), followed by group interviews ( n  = 33) and observation ( n  = 11). In total, 23 abstracts indicated the use of a combination of different qualitative methods of data conduction, all of these included individual interviews. For documentation/recording, when reported ( n  = 37), audio recording was used in most cases ( n  = 3).

Little difference regarding method of data conduction were found between pure qualitative and mixed-methods designs. Mixed methods studies rather included physicians ( n  = 21) and used predominantly general content analysis ( n  = 14), when reported; whereas qualitative studies rather included patients ( n  = 28) and used predominantly both content analysis ( n  = 14) and content analysis following Mayring ( n  = 12). Overall incomplete reporting was more common in mixed-method studies ( n  = 41) than qualitative studies ( n  = 26, 55.3%) (see App. 2).

Sample size varied widely: Overall, 67 abstracts provided a sample size. Of those, a median number of 29 people (min-max: 2–136) participated in individual and group interviews. Only in Dr. sc. hum. dissertations using mixed methods, lower median sample sizes were reported for the qualitative part (Md = 22, min-max: 6–110; n  = 17) compared to dissertations using qualitative methods only (medical science ( n  = 7): Md = 31, min-max: 16–50; MD ( n  = 29): Md = 29, min-max: 7–136) and Dr. med. (dent.) dissertations with mixed methods (Md = 30, min-max: 2–62; n  = 14). In individual interviews, when sample size was reported ( n  = 55, 69% of 80), it distributed roughly equally in the ranges of 1–10, 11–20, 21–30, 31–50 and above 50 (Md = 25; min-max: 2–110). For the 33 dissertations using group interviews, the number of groups is given in 20 abstracts, the number of participants in 15 abstracts. Between 1 and 24 group interviews were conducted with a median total of 24 participants (min-max: 2–65) (see Table 1 ).

Patients ( n  = 36) and physicians ( n  = 36) were the overall most frequent research participants , followed by other health care professionals ( n  = 17), students ( n  = 11) and relatives of patients ( n  = 7). Other participants ( n  = 16) included: representatives of self-help organizations and other experts, educators such as teachers and policy makers. In 33% ( n  = 31) of the abstracts, more than one participant group was included, 6.8% ( n  = 7) did not specify research participants. While MD dissertations predominantly included physicians ( n  = 27) and patients ( n  = 19), Dr. sc. hum. dissertations included mostly patients ( n  = 17) and other participants ( n  = 10).

Data analysis

For data analysis, if reported ( n  = 57), content analyses were the most common used method ( n  = 42), including the highly deductive approach formulated by Mayring [ 26 ] ( n  = 16), mostly used in MD dissertations ( n  = 14). Among other reported methods ( n  = 15), grounded theory ( n  = 5) was the most common approach; rarely mentioned methods include framework analysis and non-specific analysis combining inductive and deductive approaches. Forty-six abstracts did not provide information on the analysis method used (38.3% of MD abstracts, 53% of medical science abstracts). If reported ( n  = 24), ATLAS.ti ( n  = 14), MAXQDA ( n  = 3) and NVivo ( n  = 3) were mentioned most frequently as qualitative data analysis programs.

In summary, 36 abstracts provided all crucial data (participants: sample size, characteristics, i.e. healthcare professional/patient; data collection and analysis method). Thus, 58% ( n  = 35) of MD dissertation abstracts and 74% ( n  = 32) of Dr. sc. hum. dissertation abstracts had at least one missing information.

The results show a low but increasing use of qualitative research methods in medical dissertations. Abstracts nearly equally referred to dissertations leading to an MD degree and medical science doctorate respectively; half of which were submitted since 2011. Qualitative methods were used in several departments, most frequently in those for general practice, public health and medical psychology mirroring an already known affinity between the objective of certain medical disciplines and perspective qualitative methods [ 27 , 28 ].

About half of the studies used qualitative research methods exclusively, the other half mixed methods: While some differences were found, due to short format and sparse information within the abstract a strict differentiation between qualitative approaches alone and combined quantitative and qualitative designs was not made. Little difference according to degree type was observed. This points to a strong shared dissertation culture, that balances and conceals differences in academic training between medical students and graduates from other, quite diverse, disciplines (e.g. from humanities, natural and social sciences) pursuing a doctorate at a medical faculty.

Limited variety in methods used

The results show a strong preference for certain methods in data conduction, research participants and data analysis: Individual and group interviews were predominant as well as content analysis, especially Mayring’s deductive approach. All in all, a limited use of the broad spectrum of qualitative research methods can be observed. Interviews are important to gain insights on actors’ perspective [ 6 ]; however, they have limited information value when it comes to actual processes and practice of health care. To investigates those, additional direct observation would be suitable [ 8 , 9 ]. In group interviews shared norms and opions can be observed, they are not suitable to capture individual perspectices. Group interviews go along with higher time and efforts regarding scheduling, interview guidance and data analysis [ 7 ]. Within the dissertations, documents are rarely used as data within the dissertations, but could be useful readily available documents.

Included research participants were mostly patients and physicians. This might be due to the research questions posed or the availability of participants. However, to reflect the complexity of health care a higher diversity of research questions, expanding participants (e.g. other health care professionals and caregivers) and based on a thorough knowledge of available methods, including qualitative approaches, might be needed.

As for methods of analysis, the results show a predominant use of a form of content analysis, with a strong affinity to quantitative analysis often limited to description forgoing in-depth analysis. As qualitative methods belong to the interpretative paradigm, most qualitative methodologies emphasize inductive analyses (e.g. Grounded Theory) and/or a combination of induction and deduction [ 12 , 29 ]. By using primarily descriptive content analysis the full potential of qualitative research and depth of the data to gain new a insights are thus neglected. Since knowledge about and application of qualitative methods are not part of the medical curriculum, doctoral students lack training in using qualitative methods and grasping the possibilities these methods convey for in-depth original knowledge.

Incomplete reporting

One fundamental principle of good research practice is accurate reporting. For empirical research, reporting on research design and methods is crucial to ensure comparability and reflect reach of research results. Within medicine and other health sciences, while debated [ 30 ], reporting guidelines are increasingly used to guarantee a basic standard. While qualitative research designs differ from clinical and quantitative designs regarding theoretical and methodological background, study aims and research process, rigorous reporting is a shared standard: this includes reporting on data conduction, sampling, participants and data analysis (e.g. COREQ [ 24 ]).

In our study, incomplete reporting regarding research design and methods was common. Especially, information on methods of data analysis was missing in about half of the abstracts reflecting the limited awareness of the plethora of qualitative analysis methods. Additionally, a third of the abstracts did not provide information on sample size. Although the importance of a “sufficient” sample size is controversially discussed, identifying the sources and putting their contributions into perspective is a paramount characteristic of qualitative research [ 31 , 32 , 33 ]. All in all, incomplete reporting was common ( n  = 67). Additionally, out of 123 initially identified abstracts, 20 had to be excluded from the analysis as comparability was not given mainly due to the inconclusive use of the term qualitative methods.

Several issues should be considered when interpreting the findings from this study. As a case study at one large faculty, which has a strong research orientation, the generalizability of the findings is uncertain. It seems unlikely that the quality of reporting is better in other medical faculties in Germany, but the prevalence of using qualitative methods might be higher. Character and role of the abstracts might not be as apparent as in journal papers, as they serve as a summary of the dissertation and are listed within the online repository databank only. The relation of reporting quality of those abstracts and the full text dissertation or even publication is unknown. Presentation of results was not assessed as information in abstracts were brief and heterogenous. Additionally, insights are limited by the structure of the repository databank itself, i.e. sub-disciplines are combined that sometimes cover distinct research fields or did evolve as separate specialties. All in all, however, the results mirror the critique on the lack of scientific training in medical education [ 17 , 22 , 34 , 35 ] and the want of sufficient reporting in medicine and health science, irrespective of study design [ 36 ].

While recent policies put a strong emphasis on strengthening scientific competences in medical education in Germany [ 15 , 21 , 22 ], especially MD dissertations are only in some degree comparable to dissertation thesis of other disciplines and medical dissertations internationally: In Germany, about 60% of all graduating medical students complete an academic dissertation [ 14 ], which they usually finish parallel to medical school within a full-time equivalent of about a year [ 15 , 16 , 17 , 18 ]. Graduate programs that exclusively dedicate 1 year for pursuing a dissertation are still discussed as innovative [ 35 ]. Additionally, the expertise of supervisors was not assessed. In a recent opinion paper, Malterud et al. [ 37 ] called for supervisors and dissertation committees holding corresponding methodological skills and experience as well as an academic consensus regarding scientific rigour to ensure high quality theses using qualitative methods. Missing standards in supervision and reporting might have led to the observed results in our study.

Qualitative research methods offer a unique scientific benefit to health care, including medicine. Our results show that within dissertation research, the number of dissertations applying qualitative methods has continually increased mirroring an overall trend in health research. To improve reach and results, a broader spectrum of qualitative methods should be considered when selecting research designs, including e.g. (direct) observation, document and analysis strategies, that combine inductive and deductive approaches. Same holds true for including a more diverse body of research participants. More broadly, reporting and academic practice should be improved.

Reporting guidelines can not only help to improve the quality of reporting but also be used as a tool to supervising graduate students steps commonly associated with qualitative research methods. So far, however, reporting guidelines mainly target full and/or published papers. Still, some reporting guidelines for abstracts are already available [ 38 , 39 , 40 , 41 ], that could be adapted for dissertation research in health science.

In academic practice, skilled supervision alongside transparent and method-appropriate criteria are the precondition for confident and courageous dissertation research that increases understanding and challenges existing knowledge of health care research. Educational programs strengthening research and reporting skills – within and beyond qualitative methods – should be implemented into medical education more profoundly, at the latest in doctoral training.

Availability of data and materials

The data of the repository databank is semi-public and can be accessed from the corresponding author upon reasonable request. A data extraction table is available in App. 2.Competing interests and funding: We have no conflicts of interest to disclose and no funding to report.

Abbreviations

Consolidated criteria for reporting qualitative research

Doctor medicinae

Doctor medicinae dentariae

Doctor scientiarum humanarum

Medical Doctor

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Acknowledgements

We would like to thank Laura Svensson for assisting in reviewing the abstracts and data extraction. In addition, we would like to thank the reviewers for their thorough review and constructive comments.

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CU and KK conceived the idea for this manuscript. CU, KK and AS reviewed, extracted and analyzed the data. KK led the data analysis. CU wrote the first draft of the manuscript. MW provided substantial comments at different stages of the manuscript. CU, KK and MW critically revised the manuscript. All authors read and approved the manuscript for submission.

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Ullrich, C., Stürmlinger, A., Wensing, M. et al. Qualitative research methods in medical dissertations: an observational methodological study on prevalence and reporting quality of dissertation abstracts in a German university. BMC Med Res Methodol 20 , 301 (2020). https://doi.org/10.1186/s12874-020-01186-6

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Qualitative research methods in medical dissertations: an observational methodological study on prevalence and reporting quality of dissertation abstracts in a German university

Affiliations.

• 1 Department of General Practice and Health Services Research, University of Heidelberg Hospital, INF 130.3, 69120, Heidelberg, Germany. [email protected].
• 2 Department of General Practice and Health Services Research, University of Heidelberg Hospital, INF 130.3, 69120, Heidelberg, Germany.
• PMID: 33302886
• PMCID: PMC7727214
• DOI: 10.1186/s12874-020-01186-6

Background: Qualitative methods offer a unique contribution to health research. Academic dissertations in the medical field provide an opportunity to explore research practice. Our aim was to assess the use of qualitative methods in dissertations in the medical field.

Methods: By means of a methodological observational study, an analysis of all academic medical dissertations' abstracts between 1998 and 2018 in a repository databank of a large medical university faculty in Germany was performed. This included MD dissertations (Dr. med. (dent.)) and medical science dissertations (Dr. sc. hum.). All abstracts including "qualitativ*" were screened for studies using qualitative research methods. Data were extracted from abstracts using a category grid considering a) general characteristics (year, language, degree type), b) discipline, c) study design (mixed methods/qualitative only, data conduction, data analysis), d) sample (size and participants) and e) technologies used (data analysis software and recording technology). Thereby reporting quality was assessed.

Results: In total, 103 abstracts of medical dissertations between 1998 and 2018 (1.4% of N = 7619) were included, 60 of MD dissertations and 43 of medical sciences dissertations. Half of the abstracts (n = 51) referred to dissertations submitted since 2014. Most abstracts related to public health/hygiene (n = 27) and general practice (n = 26), followed by medical psychology (n = 19). About half of the studies (n = 47) used qualitative research methods exclusively, the other half (n = 56) used mixed methods. For data collection, primarily individual interviews were used (n = 80), followed by group interviews (n = 33) and direct observation (n = 11). Patients (n = 36), physicians (n = 36) and healthcare professionals (n = 17) were the most frequent research participants. Incomplete reporting of participants and data analysis was common (n = 67). Nearly half of the abstracts (n = 46) lacked information on how data was analysed, most of the remaining (n = 43) used some form of content analysis. In summary, 36 abstracts provided all crucial data (participants, sample size,; data collection and analysis method).

Conclusion: A small number of academic dissertations used qualitative research methods. About a third of these reported all key aspects of the methods used in the abstracts. Further research on the quality of choice and reporting of methods for qualitative research in dissertations is recommended.

Keywords: Higher education; Medical dissertation; Methodological study; Qualitative research; Reporting.

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This article utilizes a bounded qualitative meta-study framework to examine the 101 dissertation abstracts found by searching the ProQuest Dissertation and Theses™ digital database for dissertations abstracts from 1990 through 2010 using the search terms education, science, technology, engineer, and STEM/SMET. Professional search librarians established the search criteria used to establish the database. The overarching research question for this study was: What can we learn from the examination of doctoral dissertations abstracts that focus on the STEM education found from 1990 through 2010? The study’s findings provide an overview of doctoral research related to STEM education and the discussion section focuses on quality of abstracts, questions regarding the use of the pipeline metaphor, and location of instructional innovation.

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Trends and Hot Topics of STEM and STEM Education: a Co-word Analysis of Literature Published in 2011–2020

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Recruitment and Retention Issues

Recruitment of the underrepresented (college and university).

Amon, J. (2010). Male students give voice to supportive campus environments: A qualitative case study of undergraduate STEM majors. Unpublished 3410467, University of Pennsylvania, United States—Pennsylvania.

Bradford, S. (2010). Patching the pipeline: Identifying salient characteristics of academic intervention programs that increase the number of underrepresented minorities pursuing graduate level biomedical research. A case study: Minority Opportunities in Research ( MORE ) programs. Unpublished 3404773, University of California, Irvine and California State University, Los Angeles, United States—California.

Buchanan, D. (2008). How is an undergraduate engineering program uniquely positioned to create a diverse workforce through the recruitment of African American students? A faculty perspective. Unpublished 3325218, University of Southern California, United States—California.

Conrad, W. (2009). Female STEM majors wanted: The impact of certain factors on choice of a college major. Unpublished 3400500, University of Phoenix, United States—Arizona.

Dimmig, H. (2007). Post - college choices of Meyerhoff Program scholars. Unpublished 3286450, University of Maryland, Baltimore County, United States—Maryland.

Eatman, T. K. (2001). Becoming a member of the research community in academe: Determinants of postbaccalaureate success for traditionally underrepresented students. Unpublished 3030428, University of Illinois at Urbana-Champaign, United States—Illinois.

Fant, C. N. (2001). Formative evaluation of the first year of a multi - campus program designed to promote recruitment, retention, and degree completion among minority graduate students in science, mathematics, engineering, and technology fields. Unpublished 3040611, The University of Mississippi, United States—Mississippi.

Gary, S. (2010). Four portraits: The role of historically Black colleges and universities in the development of Black science, technology, engineering and mathematics Ph.D. students. Unpublished 3410468, University of Pennsylvania, United States—Pennsylvania.

Gochenaur, D. L. (2005). African Americans and STEM: An examination of one intervention program. Unpublished 3194812, The American University, United States—District of Columbia.

Lee, J. (2009). Understanding how identity supportive games can impact ethnic minority possible selves and learning: A design - based research study. Unpublished 3380950, The Pennsylvania State University, United States—Pennsylvania.

Recruitment of the Underrepresented (Community College)

Geist, M. (2008). A methodological examination of a focus group informed Delphi: A mixed methods investigation of female community college science, technology, engineering, and mathematics students. Unpublished 3318405, University of Northern Colorado, United States—Colorado.

Recruitment of the Underrepresented (K-12)

Fadigan, K. A. (2003). A longitudinal study of the educational and career trajectories of female participants of an urban informal science education program. Unpublished 3097691, Temple University, United States—Pennsylvania.

Grisham, A. (2006). Science education for girls: A partnership between Girl Scouts and NASA. Unpublished 3226615, University of Nevada, Las Vegas, United States—Nevada.

Mussey, S. (2009). Navigating the transition to college: First - generation undergraduates negotiate identities and search for success in STEM and non - STEM fields. Unpublished 3355909, University of California, San Diego, United States—California.

Recruitment of the Underrepresented (Federal)

Adolfie, L. (2009). Women scientists and engineers managing national security federal research programs. Unpublished 3359203, Capella University, United States—Minnesota.

Recruitment of the Non-underrepresented (College and University)

Delaney, J. (2007). The academic consequences of state merit aid: The case of Kentucky. Unpublished 3281827, Stanford University, United States—California.

Recruitment of the Non-underrepresented (K-12)

Stanton, R. (2010). State high school graduation requirements and access to postsecondary education. Unpublished 3390456, New York University, United States—New York.

Retention of the Underrepresented (College and University)

Carmichael, K. (2007). Plugging the leaky pipeline: How academic deans support the persistence of underrepresented minority students in science and mathematics. A case study. Unpublished 3287129, University of Southern California, United States—California.

Chen, Y. (2009). East Asian American educational pursuits: Examing effect of racial barriers and cultural factors for college students. Unpublished 3373857, The University of Wisconsin—Milwaukee, United States—Wisconsin.

Espinosa, L. (2009). Pipelines and pathways: Women of color in STEM majors and the experiences that shape their persistence. Unpublished 3394926, University of California, Los Angeles, United States—California.

Galloway, R. (2008). Support resources utilized by minority students majoring in science, technology, engineering, and mathematics disciplines. Unpublished 3322301, University of Pittsburgh, United States—Pennsylvania.

George-Jackson, C. (2009). Rethinking the STEM fields: The importance of definitions in examining women’s participation and success in the sciences. Unpublished 3406828, University of Illinois at Urbana-Champaign, United States—Illinois.

Goldman, E. (2010). Lipstick and labcoats: Undergraduate women’s gender negotiation in STEM fields. Unpublished 3404540, New York University, United States—New York.

Heilbronner, N. (2009). Pathways in STEM: Factors affecting the retention and attrition of talented men and women from the STEM pipeline. Unpublished 3367359, University of Connecticut, United States—Connecticut.

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Jacquot, C. (2009). Gender differences in science, math, and engineering doctoral candidates’ mental models regarding intent to pursue an academic career. Unpublished 3369353, The University of Texas at Arlington, United States—Texas.

Johnson, D. (2007). Sense of belonging among women of color in science, technology, engineering, and math majors: Investigating the contributions of campus racial climate perceptions and other college environments. Unpublished 3297338, University of Maryland, College Park, United States—Maryland.

Lange, S. E. (2006). The master degree: A critical transition in STEM doctoral education. Unpublished 3205862, University of Washington, United States—Washington.

Lee, J. (2006). Getting out the gates: Underrepresented minority students’ search for success in introductory chemistry courses to continue on the STEM path. Unpublished 3250277, University of Illinois at Urbana-Champaign, United States—Illinois.

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Malcom, L. (2008). Accumulating (dis)advantage? Institutional and financial aid pathways of Latino STEM baccalaureates. Unpublished 3325041, University of Southern California, United States—California.

McAdoo, M. F. (2005). A study of the persistence of science, technology, engineering, and mathematics majors at five southeastern institutions of higher education. Unpublished 3173502, Auburn University, United States—Alabama.

Price, J. (2010). Essays on the economics of education and health. Unpublished 3429846, Cornell University, United States—New York.

Reid, E. (2010). Exploring the experiences of African American women in an undergraduate summer research program designed to address the underrepresentation of women and minorities in neuroscience: A qualitative analysis. Unpublished 3411031, Georgia State University, United States—Georgia.

Robinson, J. (2007). Closing the race and gender gaps in computer science education. Unpublished 3291632, Rowan University, United States—New Jersey.

Rutherford, B. (2007). Interests and attitudes of engineering students. Unpublished 3279580, Utah State University, United States—Utah.

Singh, A. (2008). Beyond gender: Taking a multi - status approach to understanding students’ positioning in STEM. Unpublished 3328730, University of Rhode Island, United States—Rhode Island.

Snead-McDaniel, K. (2010). Exploration of the lived experiences of undergraduate science, technology, engineering, and mathematics minority students. Unpublished 3436670, University of Phoenix, United States—Arizona.

Stone, D. (2008). African - American males in computer science — Examining the pipeline for clogs. Unpublished 3341359, The George Washington University, United States—District of Columbia.

Thoman, D. (2008). How socially rejecting discrimination influences academic motivation, interest, and choices. Unpublished 3312100, The University of Utah, United States—Utah.

Vogt, K. E. (2005). Asian American women in science, engineering, and mathematics: Background contextual and college environment influences on self - efficacy and academic achievement. Unpublished 3202039, University of Maryland, College Park, United States—Maryland.

White, J. L. (2005). Persistence of interest in science, technology, engineering and mathematics: An analysis of persisting and non - persisting students. Unpublished 3169266, The Ohio State University, United States—Ohio.

Williamson, S. (2007). Academic, institutional, and family factors affecting the persistence of Black male STEM majors. Unpublished 3269188, Rutgers The State University of New Jersey—New Brunswick, United States—New Jersey.

Wyss, V. (2008). Questioning the gender critical mass theory in physics. Unpublished 3312127, University of Virginia, United States—Virginia.

Yohannes-Reda, S. (2010). STEMming the tide: Understanding the academic success of Black male college students in science, technology, engineering, and mathematics majors. Unpublished 3422057, University of California, Irvine and California State University, Long Beach, United States—California.

Retention of the Underrepresented (Community College)

Martinez, D. (2007). The manifestation of social capital within the Mathematics, Engineering, and Science Achievement (MESA) program. Unpublished 3291803, University of Southern California, United States—California.

Pina Houde, A. (2007). Portraits of Hispanic females participating in technical programs: Bridging the gap to science, technology, engineering, and mathematics careers. Unpublished 3273253, New Mexico State University, United States—New Mexico.

Retention of the Underrepresented (K-12)

Notter, K. (2010). Is competition making a comeback? Discovering methods to keep female adolescents engaged in STEM: A phenomenological approach. Unpublished 3412882, The University of Nebraska—Lincoln, United States—Nebraska.

Retention of the Underrepresented (Federal)

Graham, E. M. (2006). The impact of the NASA Administrator’s Fellowship Program on fellows’ career choices. Unpublished 3236502, University of Southern California, United States—California.

Retention of the Non-underrepresented (College and University)

Dickerson, J. (2008). The factors that influence the graduation rates of community college transfer students and native students at a four - year public state university. Unpublished 3331220, Mississippi State University, United States—Mississippi.

Eagan, M., Jr. (2010). Moving beyond frontiers: How institutional context affects degree production and student aspirations in STEM. Unpublished 3405569, University of California, Los Angeles, United States—California.

Gresham, P. (2010). An exploratory study of the career aspirations and self - perceptions of university honors program students. Unpublished 3404438, Indiana State University, United States—Indiana.

Rion, C. (2007). Major changes: Student shifts among liberal arts, S.T.E.M. and occupational majors. Unpublished 3270276, State University of New York at Albany, United States—New York.

Yang, X. (2005). A quantitative analysis of factors that influence and predict students’ intention to major in and complete an undergraduate program in STEM or non - STEM. Unpublished 3201832, Kansas State University, United States—Kansas.

Retention of the Non-underrepresented (K-12)

Nicholls, G. (2008). An integrated multiple statistical technique for predicting post - secondary educational degree outcomes based primarily on variables available in the 8th grade. Unpublished 3349215, University of Pittsburgh, United States—Pennsylvania.

Stem Academic Focus

Stem instructional issues (college and university).

Blikstein, P. (2009). An atom is known by the company it keeps: Content, representation and pedagogy within the epistemic revolution of the complexity sciences. Unpublished 3355751, Northwestern University, United States—Illinois.

Bouwma-Gearhart, J. (2008). Teaching professional development of science and engineering professors at a research - extensive university: Motivations, meaningfulness, obstacles, and effects. Unpublished 3327743, The University of Wisconsin—Madison, United States—Wisconsin.

Donawa, A. (2009). Critical thinking instruction and minority engineering students at a public urban higher education institution. Unpublished 3396399, Morgan State University, United States—Maryland.

Gilmour, D. (2008). Effective use of technology in classrooms: Electronic interactive text and integrated technological/pedagogical environment. Unpublished 3326509, Temple University, United States—Pennsylvania.

Hernandez, J. (2007). Examining the value faculty search committee chairpersons place on formal teacher training in the sciences, technology, engineering, and mathematics fields: Results of a national study. Unpublished 3282117, Michigan State University, United States—Michigan.

Hsu, Y. (2009). The effects of self - explanation and metacognitive instruction on undergraduate students’ learning of statistics materials containing multiple external representations in a web - based environment. Unpublished 3399659, The Pennsylvania State University, United States—Pennsylvania.

Maye, M. C. (2003). Study - group collaboration among high - achieving students of African descent studying mathematics at selective United States colleges. Unpublished 3091277, Columbia University Teachers College, United States—New York.

Moakler, M., Jr. (2010). The influence of self - confidence on college freshmen science, technology, engineering, and mathematics major choice. Unpublished 3426942, The George Washington University, United States—District of Columbia.

Schell, J. (2009). Venturing toward better teaching: STEM professors’ efforts to improve their introductory undergraduate pedagogy at major research universities. Unpublished 3368259, Teachers College, Columbia University, United States—New York.

Younkin, W. (2009). The intersection of discipline and roles: Dr. Pauline Mack’s story as an instrumental case study with implications for leadership in science, technology, engineering, and mathematics. Unpublished 3359977, Indiana University of Pennsylvania, United States—Pennsylvania.

STEM Instructional Issues (Community College)

Landon, M. (2009). Emerging workforce trends and issues impacting the Virginia Community College System. Unpublished 3405745, Old Dominion University, United States—Virginia.

Maguire, K. (2009). Post - college earnings of Iowa community college career and technical education students: Analysis of selected career clusters. Unpublished 3355518, Iowa State University, United States—Iowa.

Moriarty, M. A. (2006). Inclusive pedagogy for diverse learners: Science instruction, disability, and the community college. Unpublished 3212745, University of Massachusetts Amherst, United States—Massachusetts.

STEM Instructional Issues (K-12)

Avery, Z. (2010). Effects of profesional development on infusing engineering design into high school science, technology, engineering, and math (STEM) curricula. Unpublished 3397144, Utah State University, United States—Utah.

Boe, J. (2010). Strategies for science, technology, engineering and math in technology education. Unpublished 3420004, North Dakota State University, United States—North Dakota.

Chen, J. (2010). Implicit theories of ability, epistemic beliefs, and academic motivation: A person - centered approach. Unpublished 3423047, Emory University, United States—Georgia.

Clanton, B. L. (2004). The effects of a project - based mathematics curriculum on middle school students’ intended career paths related to science, technology, engineering and mathematics. Unpublished 3243483, University of Central Florida, United States—Florida.

Cruz-Duran, E. (2009). Stereotype threat in mathematics: Female high school students in all - girl and coeducation schools. Unpublished 3365692, St. John’s University (New York), United States—New York.

Degenhart, H. (2007). Relationship of inquiry - based learning elements on changes in middle school students’ science, technology, engineering, and mathematics (STEM) beliefs and interests. Unpublished 3270326, Texas A&M University, United States—Texas.

Donna, J. (2009). Surviving and thriving as a new science teacher: Exploring the role of comprehensive online induction. Unpublished 3360339, University of Minnesota, United States—Minnesota.

Flowers, R. (2008). After - school enrichment and the activity theory: How can a management service organization assist schools with reducing the achievement gap among minority and non - minority students in science, technology, engineering, and mathematics (STEM) during the after - school hours? Unpublished 3356894, Union Institute and University, United States—Ohio.

Gonzales, A. (2010). Toward achievement in the “ knowledge economy ” of the 21st century: Preparing students through T - STEM academies. Unpublished 3398579, Walden University, United States—Minnesota.

Huelskamp, L. (2009). The impact of problem - based learning with computer simulation on middle level educators’ instructional practices and understanding of the nature of middle level learners. Unpublished 3367883, The Ohio State University, United States—Ohio.

Jimarez, T. (2005). Does alignment of constructivist teaching, curriculum, and assessment strategies promote meaningful learning? Unpublished 3208658, New Mexico State University, United States—New Mexico.

Johnson, P. D. (2004). Girls and science: A qualitative study on factors related to success and failure in science. Unpublished 3130607, Western Michigan University, United States—Michigan.

Liu, F. (2010). Factors influencing success in online high school algebra. Unpublished 3436346, University of Florida, United States—Florida.

Maltese, A. (2008). Persistence in STEM: An investigation of the relationship between high school experiences in science and mathematics and college degree completion in STEM fields. Unpublished 3326999, University of Virginia, United States—Virginia.

Miller, M. D. (2006). Science self - efficacy in tenth grade Hispanic female high school students. Unpublished 3210371, University of Central Florida, United States—Florida.

Mowen, D. (2007). Impacts of graduate student content specialists serving in middle school classrooms on teachers and graduate students. Unpublished 3270372, Texas A&M University, United States—Texas.

Moye, J. (2009). Technology education teacher supply and demand in the United States. Unpublished 3371499, Old Dominion University, United States—Virginia.

Norman, K. (2008). High school mathematics curriculum and the process and accuracy of initial mathematics placement for students who are admitted into one of the science, technology, engineering, and mathematics programs at a research institution. Unpublished 3321924, University of Minnesota, United States—Minnesota.

Obarski, K. (2007). Life after National Science Foundation fellowships: The implications for a graduate student’s professional endeavors. Unpublished 3280094, University of Cincinnati, United States—Ohio.

Oware, E. (2008). Examining elementary students’ perceptions of engineers. Unpublished 3344179, Purdue University, United States—Indiana.

Preston, S. (2009). Investigating minority student participation in an authentic science research experience. Unpublished 3380983, The Pennsylvania State University, United States—Pennsylvania.

Ricks, M. M. (2006). A study of the impact of an informal science education program on middle school students’ science knowledge, science attitude, STEM high school and college course selections, and career decisions. Unpublished 3245344, The University of Texas at Austin, United States—Texas.

Scott, C. (2009). A comparative case study of the characteristics of science, technology, engineering, and mathematics (STEM) focused high schools. Unpublished 3365600, George Mason University, United States—Virginia.

Terry, R. (2010). The high school redesign initiative: Teachers’ perspectives. Unpublished 3412676, Mississippi State University, United States—Mississippi.

Veeragoudar Harrell, S. (2009). Second chance at first life: Fostering the mathematical and computational agency of at - risk youth. Unpublished 3369140, University of California, Berkeley, United States—California.

STEM Program Evaluation (College and University)

Greenseid, L. (2008). Using citation analysis methods to assess the influence of STEM education evaluation. Unpublished 3310625, University of Minnesota, United States—Minnesota.

Ivie, C. (2009). National Aeronautics and Space Administration (NASA) education 1993 – 2009. Unpublished 3394583, George Fox University, United States—Oregon.

Lee, Y.-F. (2005). Effects of multiple group involvement on identifying and interpreting perceived needs. Unpublished 3177181, The Ohio State University, United States—Ohio.

STEM Graduate Students (College and University)

DeChenne, S. (2010). Learning to teach effectively: Science, technology, engineering, and mathematics graduate teaching assistants’ teaching self - efficacy. Unpublished 3414593, Oregon State University, United States—Oregon.

Woods, R. (2008). Training culturally responsive remedial math instructors. Unpublished 3325085, University of Southern California, United States—California.

Wyse, S. (2010). Breaking the mold: Preparing graduate teaching assistants to teach as they are taught to teach. Unpublished 3417668, Michigan State University, United States—Michigan.

STEM Mentoring (College and University)

Byington, T. C. (2006). Post - DVM educational intentions among third - year veterinary medical students: A hierarchical analysis of mentoring, gender, and organizational context. Unpublished 3218239, Washington State University, United States—Washington.

Harris Watkins, P. G. (2005). Mentoring in the scientific disciplines: Presidential Awards for Excellence in Science, Mathematics Engineering Mentoring. Unpublished 3164230, The Claremont Graduate University, United States—California.

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Banning, J., Folkestad, J.E. STEM Education Related Dissertation Abstracts: A Bounded Qualitative Meta-study. J Sci Educ Technol 21 , 730–741 (2012). https://doi.org/10.1007/s10956-011-9361-9

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Published : 05 January 2012

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ORIGINAL RESEARCH article

A qualitative exploration of online forums to support resilience of rural young people in australia authors.

• 1 College of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia
• 2 The University of Melbourne, Parkville, Victoria, Australia
• 3 School of Social Sciences, Media, Film and Education, Swinburne University of Technology, Hawthorn, Victoria, Australia
• 4 Centre for Social Impact Swinburne, Faculty of Business and Law, Swinburne University of Technology, Hawthorn, Victoria, Australia
• 5 University of Tasmania, Hobart, Tasmania, Australia
• 6 Yunus Centre, Glasgow Caledonian University, Glasgow, Scotland, United Kingdom
• 7 Independent researcher, Sydney, NSW, Australia
• 8 Swinburne University of Technology, Hawthorn, Victoria, Australia

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Introduction: Prevention and early intervention are crucial strategies for improving young people's mental health and well-being. Building resilience is a key component of these strategies, especially among young individuals in rural areas who face well-documented mental health disparities. This study aimed to investigate how online mental health forums can contribute to enhancing individual resilience in young rural users.Methods: A sample of forum posts (n=1000) made by Australian rural users (18-25 years) on an online peer support mental health forum were qualitatively analysed. The analysis was guided by themes derived from the literature on indicators of rural resilience.Results: Analysis of forum posts showed evidence of rural resilience in forum users. Online peer support forums offered a virtual space for individuals to establish social connections, experience a sense of belonging, share information, acquire knowledge, and offer mutual support. There were indications of increased self-efficacy among forum users, as they demonstrated their ability to implement strategies for better managing their mental health.Discussion: These findings significantly contribute to our understanding of how online forums can enhance resilience factors that are beneficial for young people living in rural communities. In the context of prevention and early intervention, this study illustrates the intricate connections between forum design and user activity with resilience outcomes, providing valuable insights into the underlying causal mechanisms. Consequently, it emphasizes the importance of incorporating such digital interventions as integral components of mental health service ecosystems.

Keywords: rural, Mental health interventions, online peer support forums, resilience, youth - young adults

Received: 09 Nov 2023; Accepted: 07 May 2024.

Copyright: © 2024 Carlisle, Kamstra, Carlisle, MCosker, De Cotta, Kilpatrick, Steiner, Kahl and Farmer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Karen Carlisle, College of Medicine and Dentistry, James Cook University, Townsville, 4811, Queensland, Australia

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.