non empirical dissertation examples

Non-Empirical Research

Non-Empirical Research articles focus more on theories, methods and their implications for education research. Non-Empirical Research can include comprehensive reviews and articles that focus on methodology. It should rely on empirical research literature as well but does not need to be essentially data-driven.

The title page should:

• present a title that includes, if appropriate, the research design
• if a collaboration group should be listed as an author, please list the Group name as an author and include the names of the individual members of the Group in the “Acknowledgements” section in accordance with the instructions below
• indicate the corresponding author
• Declarations: all manuscripts must contain the following sections under the heading 'Declarations': 1. Availability of data and material 2.Competing interests 3. Funding 4. Authors' contributions 5. Acknowledgements 6. Authors' information (optional) Please see below for details on the information to be included in these sections. If any of the sections are not relevant to your manuscript, please include the heading and write 'Not applicable' for that section. 1. Availability of data and materials All manuscripts must include an ‘Availability of data and materials’ statement. Data availability statements should include information on where data supporting the results reported in the article can be found including, where applicable, hyperlinks to publicly archived datasets analysed or generated during the study. By data we mean the minimal dataset that would be necessary to interpret, replicate and build upon the findings reported in the article. We recognise it is not always possible to share research data publicly, for instance when individual privacy could be compromised, and in such instances data availability should still be stated in the manuscript along with any conditions for access. Data availability statements can take one of the following forms (or a combination of more than one if required for multiple datasets):
• The datasets generated and/or analysed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS]
• The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
• All data generated or analysed during this study are included in this published article [and its supplementary information files].
• The datasets generated and/or analysed during the current study are not publicly available due [REASON WHY DATA ARE NOT PUBLIC] but are available from the corresponding author on reasonable request.
• Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.
• The data that support the findings of this study are available from [third party name] but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of [third party name].
• Not applicable. If your manuscript does not contain any data, please state 'Not applicable' in this section.

More examples of template data availability statements, which include examples of openly available and restricted access datasets, are available  here .

SpringerOpen  also requires that authors cite any publicly available data on which the conclusions of the paper rely in the manuscript. Data citations should include a persistent identifier (such as a DOI) and should ideally be included in the reference list. Citations of datasets, when they appear in the reference list, should include the minimum information recommended by DataCite and follow journal style. Dataset identifiers including DOIs should be expressed as full URLs. For example:

Hao Z, AghaKouchak A, Nakhjiri N, Farahmand A. Global integrated drought monitoring and prediction system (GIDMaPS) data sets. figshare. 2014.  http://dx.doi.org/10.6084/m9.figshare.853801

With the corresponding text in the Availability of data and materials statement:

The datasets generated during and/or analysed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS]. [Reference number]

2. Competing interests

All financial and non-financial competing interests must be declared in this section.

See our  editorial policies  for a full explanation of competing interests. If you are unsure whether you or any of your co-authors have a competing interest please contact the editorial office.

Please use the authors’ initials to refer to each authors' competing interests in this section.

If you do not have any competing interests, please state "The authors declare that they have no competing interests" in this section.

All sources of funding for the research reported should be declared. The role of the funding body in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript should be declared.

4. Authors' contributions

The individual contributions of authors to the manuscript should be specified in this section. Guidance and criteria for authorship can be found in our  editorial policies .

Please use initials to refer to each author's contribution in this section, for example: "FC analyzed and interpreted the patient data regarding the hematological disease and the transplant. RH performed the histological examination of the kidney, and was a major contributor in writing the manuscript. All authors read and approved the final manuscript."

5. Acknowledgements

Please acknowledge anyone who contributed towards the article who does not meet the criteria for authorship including anyone who provided professional writing services or materials.

Authors should obtain permission to acknowledge from all those mentioned in the Acknowledgements section.

See our  editorial policies  for a full explanation of acknowledgements and authorship criteria.

If you do not have anyone to acknowledge, please write "Not applicable" in this section.

Group authorship (for manuscripts involving a collaboration group): if you would like the names of the individual members of a collaboration Group to be searchable through their individual PubMed records, please ensure that the title of the collaboration Group is included on the title page and in the submission system and also include collaborating author names as the last paragraph of the “Acknowledgements” section. Please add authors in the format First Name, Middle initial(s) (optional), Last Name. You can add institution or country information for each author if you wish, but this should be consistent across all authors.

6. Authors' information : This section is optional.

You may choose to use this section to include any relevant information about the author(s) that may aid the reader's interpretation of the article, and understand the standpoint of the author(s). This may include details about the authors' qualifications, current positions they hold at institutions or societies, or any other relevant background information. Please refer to authors using their initials. Note this section should not be used to describe any competing interests

Blinded Manuscript

Abstract The abstract should briefly summarize the aim, findings or purpose of the article. Please minimize the use of abbreviations and do not cite references in the abstract.

See the criteria section for this article type (located at the top of this page) for information on article word limits.

Three to ten keywords representing the main content of the article.

Introduction

The Introduction section should explain the background to the article, its aims, a summary of a search of the existing literature and the issue under discussion.

This should contain the body of the article, and may also be broken into subsections with short, informative headings.

Conclusions

This should state clearly the main conclusions and include an explanation of their relevance or importance to the field.

List of abbreviations

If abbreviations are used in the text they should be defined in the text at first use, and a list of abbreviations should be provided.

Examples of the American Psychological Association (APA) reference style are shown below. For further guidance, see the Publication Manual of the American Psychological Association and the respective web site of the Association ( http://www.apastyle.org/ ).

See our editorial policies for author guidance on good citation practice.

Web links and URLs: All web links and URLs, including links to the authors' own websites, should be given a reference number and included in the reference list rather than within the text of the manuscript. They should be provided in full, including both the title of the site and the URL, as well as the date the site was accessed, in the following format: The Mouse Tumor Biology Database. http://tumor.informatics.jax.org/mtbwi/index.do . Accessed 20 May 2013. If an author or group of authors can clearly be associated with a web link, such as for weblogs, then they should be included in the reference.

Example reference style:

Article within a journal

Harris, M., Karper, E., Stacks, G., Hoffman, D., DeNiro, & R., Cruz, P. (2001). Writing labs and the Hollywood connection. Journal of Film Writing , 44 (3), 213-245.

Article by DOI (with page numbers)

Slifka, M.K., & Whitton, J.L. (2000). Clinical implications of dysregulated cytokine production. Journal of Molecular Medicine , 78 (2), 74-80. doi:10.1007/s001090000086.

Article by DOI (before issue publication and without page numbers)

Kreger, M., Brindis, C.D., Manuel, D.M., & Sassoubre, L. (2007). Lessons learned in systems change initiatives: benchmarks and indicators. American Journal of Community Psychology . doi: 10.1007/s10464-007-9108-14.

Article in electronic journal by DOI (no paginated version)

Kruger, M., Brandis, C.D., Mandel, D.M., & Sassoure, J. (2007). Lessons to be learned in systems change initiatives: benchmarks and indicators. American Journal of Digital Psychology . doi: 10.1007/s10469-007-5108-14.

Complete book

Calfee, R.C., & Valencia, R.R. (1991). APA guide to preparing manuscripts for journal publication. Washington, DC: American Psychological Association.

Book chapter, or an article within a book

O'Neil, J.M., & Egan, J. (1992). Men's and women's gender role journeys: Metaphor for healing, transition, and transformation. In B.R. Wainrib (Ed.), Gender issues across the life cycle (pp. 107-123). New York: Springer .

Online First chapter in a series (without a volume designation but with a DOI)

Saito, Y., & Hyuga, H. (2007). Rate equation approaches to amplification of enantiomeric excess and chiral symmetry breaking. Topics in Current Chemistry . doi:10.1007/128_2006_108.

Complete book, also showing a translated edition [Either edition may be listed first.]

Adorno, T.W. (1966). Negative Dialektik . Frankfurt: Suhrkamp. English edition: Adorno, TW (1973). Negative Dialectics (trans: Ashton, E.B.). London: Routledge.

Online document

Abou-Allaban, Y., Dell, M.L., Greenberg, W., Lomax, J., Peteet, J., Torres, M., & Cowell, V. (2006). Religious/spiritual commitments and psychiatric practice. Resource document. American Psychiatric Association. http://www.psych.org/edu/other_res/lib_archives/archives/200604.pdf. Accessed 25 June 2007.

Online database

German emigrants database (1998). Historisches Museum Bremerhaven. http://www.deutsche-auswanderer-datenbank.de. Accessed 21 June 2007.

Supplementary material/private homepage

Doe, J. (2006). Title of supplementary material. http://www.privatehomepage.com. Accessed 22 Feb 2007.

Doe, J. (1999). Trivial HTTP, RFC2169. ftp://ftp.isi.edu/in-notes/rfc2169.txt. Accessed 12 Feb 2006.

Organization site

ISSN International Centre (2006). The ISSN register. http://www.issn.org. Accessed 20 Feb 2007.

Figures, tables and additional files

See  General formatting guidelines  for information on how to format figures, tables and additional files.

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BY 499 - Senior Seminar

• Library Catalog(s)
• Searching Tips and Source Evaluation
• Article Databases
• Writing Style - APA
• Empirical v. Non-Empirical Research
• Poster Design
• How Did We Do?

Subject Guide

Biology Articles

Primary Databases

Featuring thousands of full-text journals, this collection of scholarly trade and popular articles offers information on a broad range of important areas including: anthropology, biology, chemistry, ethnic & multicultural studies, law, mathematics, music, psychology, women's studies, and many other fields. Part of the Database Offerings in GALILEO, Georgia’s Virtual Library

ProQuest Research Library™ provides access to more than 5,060 titles —over 3,600 in full text— on a wide range of popular academic subjects. The database features a diversified mix of scholarly journals, trade publications, magazines, and newspapers.  Part of the Database Offerings in GALILEO, Georgia’s Virtual Library

The National Science Digital Library (NSDL) was created by the National Science Foundation to provide organized access to high quality resources and tools that support innovations in teaching and learning at all levels of science, technology, engineering, and mathematics education. Part of the database offerings in GALILEO, Georgia's virtual library.

This database contains more than 820 leading full-text journals covering relevant aspects of the scientific and technical community. In addition to full text, Science & Technology Collection™ offers indexing and abstracts for more than 1,750 journals. Topics include aeronautics, astrophysics, biology, chemistry, computer technology, geology, aviation, physics, archaeology, marine sciences and materials science. Part of the Database Offerings in GALILEO, Georgia’s Virtual Library

A leading full-text scientific database covering the life and health sciences.

How to Make a Poster

• Designing Conference Posters & Poster Templates

Empirical Versus Non-empirical Research

Empirical research is based on observed and measured phenomena and derives knowledge from actual experience rather than from theory or belief.

How do you know if a study is empirical? Read the subheadings within the article, book, or report and look for a description of the research "methodology." Ask yourself: Could I recreate this study and test these results?

Key characteristics to look for:

• Specific research questions to be answered
• Definition of the population, behavior, or   phenomena being studied
• Description of the process used to study this population or phenomena, including selection criteria, controls, and testing instruments (such as surveys)
• Author(s) present a new set of findings from original research after conducting an original experiment
• Firsthand collection of data

Another hint: some scholarly journals use a specific layout, called the "IMRaD" format, to communicate empirical research findings. Such articles typically have 4 components:

• Introduction : sometimes called "literature review" -- what is currently known about the topic -- usually includes a theoretical framework and/or discussion of previous studies
• Methodology: sometimes called "research design" -- how to recreate the study -- usually describes the population or variables to be researched, research process, and analytical tools
• Results : sometimes called "findings" -- what was learned through the study -- usually appears as statistical data or as substantial quotations from research participants
• Discussion : sometimes called "conclusion" or "implications" -- why the study is important -- usually describes how the research results influence professional practices or future studies

Here are some common characteristics of review articles:

• Author(s) analyze and summarize existing research
• Author(s) did NOT do original research. They are summarizing work of others.
• Often focus on a general topic (such as breast cancer treatment) and bring together all relevant, useful articles on that topic in one review article.
• Do not contain sections such as Methods (and Materials), Results because they did not do any original research!

Fermentation and quality of yellow pigments from golden brown rice solid culture by a selected Monascus mutant.

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• Knowledge Base
• Dissertation

What Is a Dissertation? | 5 Essential Questions to Get Started

Published on 26 March 2020 by Jack Caulfield . Revised on 5 May 2022.

A dissertation is a large research project undertaken at the end of a degree. It involves in-depth consideration of a problem or question chosen by the student. It is usually the largest (and final) piece of written work produced during a degree.

The length and structure of a dissertation vary widely depending on the level and field of study. However, there are some key questions that can help you understand the requirements and get started on your dissertation project.

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Table of contents

When and why do you have to write a dissertation, who will supervise your dissertation, what type of research will you do, how should your dissertation be structured, what formatting and referencing rules do you have to follow, frequently asked questions about dissertations.

A dissertation, sometimes called a thesis, comes at the end of an undergraduate or postgraduate degree. It is a larger project than the other essays you’ve written, requiring a higher word count and a greater depth of research.

You’ll generally work on your dissertation during the final year of your degree, over a longer period than you would take for a standard essay . For example, the dissertation might be your main focus for the last six months of your degree.

Why is the dissertation important?

The dissertation is a test of your capacity for independent research. You are given a lot of autonomy in writing your dissertation: you come up with your own ideas, conduct your own research, and write and structure the text by yourself.

This means that it is an important preparation for your future, whether you continue in academia or not: it teaches you to manage your own time, generate original ideas, and work independently.

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During the planning and writing of your dissertation, you’ll work with a supervisor from your department. The supervisor’s job is to give you feedback and advice throughout the process.

The dissertation supervisor is often assigned by the department, but you might be allowed to indicate preferences or approach potential supervisors. If so, try to pick someone who is familiar with your chosen topic, whom you get along with on a personal level, and whose feedback you’ve found useful in the past.

How will your supervisor help you?

Your supervisor is there to guide you through the dissertation project, but you’re still working independently. They can give feedback on your ideas, but not come up with ideas for you.

You may need to take the initiative to request an initial meeting with your supervisor. Then you can plan out your future meetings and set reasonable deadlines for things like completion of data collection, a structure outline, a first chapter, a first draft, and so on.

Make sure to prepare in advance for your meetings. Formulate your ideas as fully as you can, and determine where exactly you’re having difficulties so you can ask your supervisor for specific advice.

Your approach to your dissertation will vary depending on your field of study. The first thing to consider is whether you will do empirical research , which involves collecting original data, or non-empirical research , which involves analysing sources.

Empirical dissertations (sciences)

An empirical dissertation focuses on collecting and analysing original data. You’ll usually write this type of dissertation if you are studying a subject in the sciences or social sciences.

• What are airline workers’ attitudes towards the challenges posed for their industry by climate change?
• How effective is cognitive behavioural therapy in treating depression in young adults?
• What are the short-term health effects of switching from smoking cigarettes to e-cigarettes?

There are many different empirical research methods you can use to answer these questions – for example, experiments , observations, surveys , and interviews.

When doing empirical research, you need to consider things like the variables you will investigate, the reliability and validity of your measurements, and your sampling method . The aim is to produce robust, reproducible scientific knowledge.

Non-empirical dissertations (arts and humanities)

A non-empirical dissertation works with existing research or other texts, presenting original analysis, critique and argumentation, but no original data. This approach is typical of arts and humanities subjects.

• What attitudes did commentators in the British press take towards the French Revolution in 1789–1792?
• How do the themes of gender and inheritance intersect in Shakespeare’s Macbeth ?
• How did Plato’s Republic and Thomas More’s Utopia influence nineteenth century utopian socialist thought?

The first steps in this type of dissertation are to decide on your topic and begin collecting your primary and secondary sources .

Primary sources are the direct objects of your research. They give you first-hand evidence about your subject. Examples of primary sources include novels, artworks and historical documents.

Secondary sources provide information that informs your analysis. They describe, interpret, or evaluate information from primary sources. For example, you might consider previous analyses of the novel or author you are working on, or theoretical texts that you plan to apply to your primary sources.

Dissertations are divided into chapters and sections. Empirical dissertations usually follow a standard structure, while non-empirical dissertations are more flexible.

Structure of an empirical dissertation

Empirical dissertations generally include these chapters:

• Introduction : An explanation of your topic and the research question(s) you want to answer.
• Literature review : A survey and evaluation of previous research on your topic.
• Methodology : An explanation of how you collected and analysed your data.
• Results : A brief description of what you found.
• Discussion : Interpretation of what these results reveal.
• Conclusion : Answers to your research question(s) and summary of what your findings contribute to knowledge in your field.

Sometimes the order or naming of chapters might be slightly different, but all of the above information must be included in order to produce thorough, valid scientific research.

Other dissertation structures

If your dissertation doesn’t involve data collection, your structure is more flexible. You can think of it like an extended essay – the text should be logically organised in a way that serves your argument:

• Introduction: An explanation of your topic and the question(s) you want to answer.
• Main body: The development of your analysis, usually divided into 2–4 chapters.
• Conclusion: Answers to your research question(s) and summary of what your analysis contributes to knowledge in your field.

The chapters of the main body can be organised around different themes, time periods, or texts. Below you can see some example structures for dissertations in different subjects.

• Political philosophy

This example, on the topic of the British press’s coverage of the French Revolution, shows how you might structure each chapter around a specific theme.

This example, on the topic of Plato’s and More’s influences on utopian socialist thought, shows a different approach to dividing the chapters by theme.

This example, a master’s dissertation on the topic of how writers respond to persecution, shows how you can also use section headings within each chapter. Each of the three chapters deals with a specific text, while the sections are organised thematically.

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Like other academic texts, it’s important that your dissertation follows the formatting guidelines set out by your university. You can lose marks unnecessarily over mistakes, so it’s worth taking the time to get all these elements right.

Formatting guidelines concern things like:

• line spacing
• page numbers
• punctuation
• title pages
• presentation of tables and figures

If you’re unsure about the formatting requirements, check with your supervisor or department. You can lose marks unnecessarily over mistakes, so it’s worth taking the time to get all these elements right.

How will you reference your sources?

Referencing means properly listing the sources you cite and refer to in your dissertation, so that the reader can find them. This avoids plagiarism by acknowledging where you’ve used the work of others.

Keep track of everything you read as you prepare your dissertation. The key information to note down for a reference is:

• The publication date
• Page numbers for the parts you refer to (especially when using direct quotes)

Different referencing styles each have their own specific rules for how to reference. The most commonly used styles in UK universities are listed below.

You can use the free APA Reference Generator to automatically create and store your references.

APA Reference Generator

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

• In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
• In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

Dissertation word counts vary widely across different fields, institutions, and levels of education:

• An undergraduate dissertation is typically 8,000–15,000 words
• A master’s dissertation is typically 12,000–50,000 words
• A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

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Caulfield, J. (2022, May 05). What Is a Dissertation? | 5 Essential Questions to Get Started. Scribbr. Retrieved 3 June 2024, from https://www.scribbr.co.uk/thesis-dissertation/what-is-a-dissertation/

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Chapter 7: Nonexperimental Research

Overview of Nonexperimental Research

Learning Objectives

• Define nonexperimental research, distinguish it clearly from experimental research, and give several examples.
• Explain when a researcher might choose to conduct nonexperimental research as opposed to experimental research.

What Is Nonexperimental Research?

Nonexperimental research  is research that lacks the manipulation of an independent variable, random assignment of participants to conditions or orders of conditions, or both.

In a sense, it is unfair to define this large and diverse set of approaches collectively by what they are  not . But doing so reflects the fact that most researchers in psychology consider the distinction between experimental and nonexperimental research to be an extremely important one. This distinction is because although experimental research can provide strong evidence that changes in an independent variable cause differences in a dependent variable, nonexperimental research generally cannot. As we will see, however, this inability does not mean that nonexperimental research is less important than experimental research or inferior to it in any general sense.

When to Use Nonexperimental Research

As we saw in  Chapter 6 , experimental research is appropriate when the researcher has a specific research question or hypothesis about a causal relationship between two variables—and it is possible, feasible, and ethical to manipulate the independent variable and randomly assign participants to conditions or to orders of conditions. It stands to reason, therefore, that nonexperimental research is appropriate—even necessary—when these conditions are not met. There are many ways in which preferring nonexperimental research can be the case.

• The research question or hypothesis can be about a single variable rather than a statistical relationship between two variables (e.g., How accurate are people’s first impressions?).
• The research question can be about a noncausal statistical relationship between variables (e.g., Is there a correlation between verbal intelligence and mathematical intelligence?).
• The research question can be about a causal relationship, but the independent variable cannot be manipulated or participants cannot be randomly assigned to conditions or orders of conditions (e.g., Does damage to a person’s hippocampus impair the formation of long-term memory traces?).
• The research question can be broad and exploratory, or it can be about what it is like to have a particular experience (e.g., What is it like to be a working mother diagnosed with depression?).

Again, the choice between the experimental and nonexperimental approaches is generally dictated by the nature of the research question. If it is about a causal relationship and involves an independent variable that can be manipulated, the experimental approach is typically preferred. Otherwise, the nonexperimental approach is preferred. But the two approaches can also be used to address the same research question in complementary ways. For example, nonexperimental studies establishing that there is a relationship between watching violent television and aggressive behaviour have been complemented by experimental studies confirming that the relationship is a causal one (Bushman & Huesmann, 2001) [1] . Similarly, after his original study, Milgram conducted experiments to explore the factors that affect obedience. He manipulated several independent variables, such as the distance between the experimenter and the participant, the participant and the confederate, and the location of the study (Milgram, 1974) [2] .

Types of Nonexperimental Research

Nonexperimental research falls into three broad categories: single-variable research, correlational and quasi-experimental research, and qualitative research. First, research can be nonexperimental because it focuses on a single variable rather than a statistical relationship between two variables. Although there is no widely shared term for this kind of research, we will call it  single-variable research . Milgram’s original obedience study was nonexperimental in this way. He was primarily interested in one variable—the extent to which participants obeyed the researcher when he told them to shock the confederate—and he observed all participants performing the same task under the same conditions. The study by Loftus and Pickrell described at the beginning of this chapter is also a good example of single-variable research. The variable was whether participants “remembered” having experienced mildly traumatic childhood events (e.g., getting lost in a shopping mall) that they had not actually experienced but that the research asked them about repeatedly. In this particular study, nearly a third of the participants “remembered” at least one event. (As with Milgram’s original study, this study inspired several later experiments on the factors that affect false memories.)

As these examples make clear, single-variable research can answer interesting and important questions. What it cannot do, however, is answer questions about statistical relationships between variables. This detail is a point that beginning researchers sometimes miss. Imagine, for example, a group of research methods students interested in the relationship between children’s being the victim of bullying and the children’s self-esteem. The first thing that is likely to occur to these researchers is to obtain a sample of middle-school students who have been bullied and then to measure their self-esteem. But this design would be a single-variable study with self-esteem as the only variable. Although it would tell the researchers something about the self-esteem of children who have been bullied, it would not tell them what they really want to know, which is how the self-esteem of children who have been bullied  compares  with the self-esteem of children who have not. Is it lower? Is it the same? Could it even be higher? To answer this question, their sample would also have to include middle-school students who have not been bullied thereby introducing another variable.

Research can also be nonexperimental because it focuses on a statistical relationship between two variables but does not include the manipulation of an independent variable, random assignment of participants to conditions or orders of conditions, or both. This kind of research takes two basic forms: correlational research and quasi-experimental research. In correlational research , the researcher measures the two variables of interest with little or no attempt to control extraneous variables and then assesses the relationship between them. A research methods student who finds out whether each of several middle-school students has been bullied and then measures each student’s self-esteem is conducting correlational research. In  quasi-experimental research , the researcher manipulates an independent variable but does not randomly assign participants to conditions or orders of conditions. For example, a researcher might start an antibullying program (a kind of treatment) at one school and compare the incidence of bullying at that school with the incidence at a similar school that has no antibullying program.

The final way in which research can be nonexperimental is that it can be qualitative. The types of research we have discussed so far are all quantitative, referring to the fact that the data consist of numbers that are analyzed using statistical techniques. In  qualitative research , the data are usually nonnumerical and therefore cannot be analyzed using statistical techniques. Rosenhan’s study of the experience of people in a psychiatric ward was primarily qualitative. The data were the notes taken by the “pseudopatients”—the people pretending to have heard voices—along with their hospital records. Rosenhan’s analysis consists mainly of a written description of the experiences of the pseudopatients, supported by several concrete examples. To illustrate the hospital staff’s tendency to “depersonalize” their patients, he noted, “Upon being admitted, I and other pseudopatients took the initial physical examinations in a semipublic room, where staff members went about their own business as if we were not there” (Rosenhan, 1973, p. 256). [3] Qualitative data has a separate set of analysis tools depending on the research question. For example, thematic analysis would focus on themes that emerge in the data or conversation analysis would focus on the way the words were said in an interview or focus group.

Internal Validity Revisited

Recall that internal validity is the extent to which the design of a study supports the conclusion that changes in the independent variable caused any observed differences in the dependent variable.  Figure 7.1  shows how experimental, quasi-experimental, and correlational research vary in terms of internal validity. Experimental research tends to be highest because it addresses the directionality and third-variable problems through manipulation and the control of extraneous variables through random assignment. If the average score on the dependent variable in an experiment differs across conditions, it is quite likely that the independent variable is responsible for that difference. Correlational research is lowest because it fails to address either problem. If the average score on the dependent variable differs across levels of the independent variable, it  could  be that the independent variable is responsible, but there are other interpretations. In some situations, the direction of causality could be reversed. In others, there could be a third variable that is causing differences in both the independent and dependent variables. Quasi-experimental research is in the middle because the manipulation of the independent variable addresses some problems, but the lack of random assignment and experimental control fails to address others. Imagine, for example, that a researcher finds two similar schools, starts an antibullying program in one, and then finds fewer bullying incidents in that “treatment school” than in the “control school.” There is no directionality problem because clearly the number of bullying incidents did not determine which school got the program. However, the lack of random assignment of children to schools could still mean that students in the treatment school differed from students in the control school in some other way that could explain the difference in bullying.

Notice also in  Figure 7.1  that there is some overlap in the internal validity of experiments, quasi-experiments, and correlational studies. For example, a poorly designed experiment that includes many confounding variables can be lower in internal validity than a well designed quasi-experiment with no obvious confounding variables. Internal validity is also only one of several validities that one might consider, as noted in  Chapter 5.

Key Takeaways

• Nonexperimental research is research that lacks the manipulation of an independent variable, control of extraneous variables through random assignment, or both.
• There are three broad types of nonexperimental research. Single-variable research focuses on a single variable rather than a relationship between variables. Correlational and quasi-experimental research focus on a statistical relationship but lack manipulation or random assignment. Qualitative research focuses on broader research questions, typically involves collecting large amounts of data from a small number of participants, and analyses the data nonstatistically.
• In general, experimental research is high in internal validity, correlational research is low in internal validity, and quasi-experimental research is in between.

Discussion: For each of the following studies, decide which type of research design it is and explain why.

• A researcher conducts detailed interviews with unmarried teenage fathers to learn about how they feel and what they think about their role as fathers and summarizes their feelings in a written narrative.
• A researcher measures the impulsivity of a large sample of drivers and looks at the statistical relationship between this variable and the number of traffic tickets the drivers have received.
• A researcher randomly assigns patients with low back pain either to a treatment involving hypnosis or to a treatment involving exercise. She then measures their level of low back pain after 3 months.
• A college instructor gives weekly quizzes to students in one section of his course but no weekly quizzes to students in another section to see whether this has an effect on their test performance.
• Bushman, B. J., & Huesmann, L. R. (2001). Effects of televised violence on aggression. In D. Singer & J. Singer (Eds.), Handbook of children and the media (pp. 223–254). Thousand Oaks, CA: Sage. ↵
• Milgram, S. (1974). Obedience to authority: An experimental view . New York, NY: Harper & Row. ↵
• Rosenhan, D. L. (1973). On being sane in insane places. Science, 179 , 250–258. ↵

Research that lacks the manipulation of an independent variable, random assignment of participants to conditions or orders of conditions, or both.

Research that focuses on a single variable rather than a statistical relationship between two variables.

The researcher measures the two variables of interest with little or no attempt to control extraneous variables and then assesses the relationship between them.

The researcher manipulates an independent variable but does not randomly assign participants to conditions or orders of conditions.

Research Methods in Psychology - 2nd Canadian Edition Copyright © 2015 by Paul C. Price, Rajiv Jhangiani, & I-Chant A. Chiang is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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16 Publishing Non-Empirical Papers

• Published: November 2021
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This chapter provides guidance on publishing theoretical, literature review, and policy papers. A primary theme of the chapter is that these papers are more difficult to publish than empirical papers because they have is no set structure, and because non-empirical papers do not rely directly on empirical data. Authors are advised to stay extremely close to existing empirical work when proposing a new theory or when reviewing literature. Differences between scoping and integrative reviews, and between theoretical and policy papers, are also outlined. The chapter suggests that authors provide clear justification for why their theory, review, or position is needed and for how it advances the literature. Common reviewer criticisms of non-empirical papers are also provided.

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Non-empirical Values

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• Martin Carrier 5  

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Nonempirical values serve to delineate specific distinctions of scientific knowledge beyond empirical adequacy. Such values express requirements of significance and confirmation . The former are influential on the choice of problems and the pursuit of theories, the latter contribute to assessing the bearing of evidence on theory. Nonempirical values maybe epistemic (i.e., truth related) or non-epistemic (i.e., pragmatic, ethical, or utilitarian).

The background of the claim that nonempirical values contribute to shaping the system of scientific knowledge is constituted by the Duhem–Quine underdetermination thesis (underdetermination). This thesis says that the agreement of the empirical consequences of a theory with the available observations is not a sufficient reason for accepting the theory. In other words, logic and experience leave room for conceptually incompatible but empirically equivalent explanatory alternatives. Consider the example of explaining a bunch...

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Carrier M (2008) The aim and structure of methodological theory. In: Soler L, Sankey H, Hoyningen-Huene P (eds) Rethinking scientific change and theory comparison: stabilities, ruptures, incommensurabilities? Springer, Dordrecht, pp 273–290

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Carrier M (2010) Knowledge, politics, and commerce: science under the pressure of practice. In: Carrier M, Nordmann A (eds) Science in the context of application. methodological change, conceptual transformation, cultural reorientation. Springer, Dordrecht, pp 11–30

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Carrier, M. (2013). Non-empirical Values. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_122

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Dissertation Writing Guide

• 35-minute read
• 12th February 2021

How to Write a Great Thesis

This guide will explain how to write a great undergraduate or master’s thesis (see our Essay Writing Guide  for advice on shorter academic documents).

Use the list to the left to select an aspect of dissertation writing to learn about.

What Is a Thesis?

A thesis is a longer, in-depth paper written at the end of an undergraduate or master’s degree. It will be on a subject you choose yourself and involve self-directed research, although with some help from a tutor or advisor. The thesis may make a significant contribution towards your final grade, so it is very important. We will use the word “thesis” throughout this guide, but some also call this final project a “dissertation.” 

The idea of an undergraduate thesis (also known as a “senior project” or “senior thesis”) is to demonstrate the skills and knowledge developed during your studies. Not every undergraduate will need to do a senior thesis, but they are common in some schools and may be required if you’re planning on enrolling for a postgraduate course.

A master’s thesis is the final project on a master’s degree. It will usually be longer and more detailed than an undergraduate thesis. You may also be required to make an original contribution (i.e., put forward a new argument) as well as demonstrating your knowledge.

Depending on your subject area, your thesis may be empirical or non-empirical:

• Empirical theses are more common in the sciences. They involve collecting and analyzing data, then writing this up with your findings and conclusions.
• Non-empirical theses are more common in the humanities. They involve researching existing data, ideas, and arguments, then offering a critical analysis or making an argument of your own based on your research.

In this guide, we will discuss both types of thesis, highlighting any differences as they become relevant. We will not look at how to write a doctoral dissertation, which is usually even longer and more complex, but many of the same skills apply.

KEY NOTE: Most colleges and universities have detailed guidelines for how students should write a thesis, including any stylistic or procedural requirements. The advice below will be designed to apply to any thesis-length project, but you still need to check what your institution requires if you are writing a thesis or dissertation.

Planning a Thesis or Dissertation

The first step in writing a thesis is making a plan. This may include several steps.

Selecting a Topic

Since a thesis is self-directed, you will need to decide what to research. This is an important decision, so don’t rush it! Tips for selecting a thesis topic include:

• Think about your interests – Try to pick something that reflects your interests. Is there something from your prior studies you wish you’d had more time with? Some subject area that you found especially engaging? Something you read about that you didn’t get the chance to study? Something relevant to your career plans? A thesis is a major project, so make sure it focuses on something you care about!
• Aim for originality – Try to find a unique issue or problem to address. This doesn’t necessarily mean conducting entirely original research (it will be hard to find something nobody has ever written about). But you can try to find a new angle on an existing idea or problem (e.g., applying an established theory in a new area). This is especially important for a master’s thesis, where originality is valued.
• Think about the scope – Try to pick a problem that you think you can answer within the word limit of your thesis. This should be something fairly in depth so you can show off your skills and hit the word count. But it should also be narrow enough that you can finish it in time and without massively overwriting!
• Do some research – If you have an idea for something you might want to write about, do a little preliminary research. This will help you focus your idea by seeing what other people have already said on the subject. It may even help you identify a new angle from which to approach the issue. And if you do a little research on a few potential topics, you can be sure you’ve picked the right one for your thesis.
• Be realistic – As with the scope of your chosen topic, you need to be realistic about what you can do with the time and resources available. Would your topic require access to specialist equipment or resources? Would it require traveling? Are there any potential costs? Think about how easy it will be to conduct your research.  
• Ask for advice – Once you have a basic idea of what you might want to write about, ask your tutor or lecturer for advice. They will have a good sense of whether it is a suitable subject for a thesis and may have suggestions for how to approach it.

And once you’ve selected a topic, you’ll want to check what your school requires for a dissertation. Usually, you will need to submit a research proposal of some kind for approval. Minimally, though, you will need to decide on a research question.

Setting a Research Question

The “ research question ” is the question you’ll seek to answer in your thesis. This should narrow the focus of your thesis down even more, giving you a distinct problem to address. To formulate a research question, try to come up with something that:

• Clearly sets out the focus of your research
• Has a limited enough scope to answer in one paper
• Is complex enough to warrant in-depth discussion and investigation
• Is relevant to your field of study (e.g. it fills a gap in the research)

For instance, you may be interested in viral marketing techniques. However, since this would be a very broad topic for a thesis, you would then need to look for a specific question to answer, such as how do social media influencers affect a viral advertising campaign? You could even narrow this down further by framing a question around a specific case study.

We can see some examples of “good” and “bad” questions below.

In this case, the “bad” question is too broad. It would take several book-length essays to even start answering! The second question is much narrower, focusing on the effect of climate change on one species in one region, making it easier to answer.

In this case, the “bad” question is too narrow. It could be answered by searching on google and simply setting out the policies you find. The second question, meanwhile, is open to debate and does not have a simple answer, so there is scope for good research.

As with your thesis topic, once you have come up with a research question, speak to your advisor or tutor. They may have some guidance on how to refine it.

Writing a Research Proposal

Some colleges will ask you to write a research proposal – i.e., a detailed description of your proposed research project – before they approve your thesis. And even if you don’t have to do this, writing a research proposal can be a useful way to organize your thoughts before you begin writing. This may include information on the following:

• A proposed title
• Your research question/ objectives
• Why your research is significant (e.g., what it contributes to your field of study or how it could be used to help solve a practical problem)
• An initial literature review (i.e., a look at existing research in the subject area)
• A thesis chapter outline (see below for tips on structure)
• Your methods (i.e., how you will conduct research or experimentation)
• A justification for why you will study the topic in the manner set out
• Logistical and ethical considerations
• Potential limitations on your research project
• A reference list or bibliography
• A research timeline breaking down when you will complete each stage of the project, including writing up and editing your thesis
• Any information on projected expenses or budget

You won’t always need all the above. This will depend on your school’s requirements, your subject area, and the scope of your thesis project. In essence, though, you need to set out what you want to achieve, why you want to do this, and how you intend to accomplish it.

One thing to note here is that your plan may change later on. Research can be difficult to predict, so you may need to adapt your plan after you start work on your thesis. You might find, for example, that your research question was too broad. Or you might encounter an obstacle that forces you to adapt your plans. This is completely normal!

As such, don’t stress too much about making your research plan “perfect.” Your real aim is to prove that you’ve thought seriously about your thesis, that you’re capable of planning a research project, and that you’re committed to producing high quality work.

Once your school has approved your plan, you will be ready to begin work on your thesis.

Conducting Research

Any thesis will require engaging with past research. This may be for a literature review before conducting your own experimental study. Or, in a more theoretical thesis (e.g., historical analysis or literary criticism), it may make up a large proportion of your work.

You will have done some research already as part of your proposal. But most of it will come after your thesis has been approved. Exactly what this will involve will depend on your subject area and research question, but we will look at a few common issues below.

Creating a Research Plan

Creating a plan will help you focus your research. To do this, break your thesis down into steps and set aside time for each task you need to complete. You’ll then know exactly how much you need to do and how long you will need to do it. This may include:

• Studying existing literature on your research topic
• Designing a study or experiment
• Conducting primary research

When creating this plan, be realistic about how long each stage will take. And make sure to leave time for writing and editing your thesis once you’ve finished the research!

Top Tip! You can actually start writing while you’re still doing research or gathering data. For example, if you’re working on your design study, you can start making notes for your methodology section. This will save time when you come to write your thesis, as you should have all the information you need in one place, ready to be written up.

Selecting Sources

Part of efficient research is selecting the best sources for your project, as reading every single book or article on a subject would take far too long. This may involve:

• Using what you know from your studies as a starting point for finding relevant sources. Asking your tutors or lecturers for recommendations is another good idea.
• Checking the reference lists in good sources for similar titles.
• Developing a strong search strategy to find sources online or in databases. This means testing keywords and using filters to narrow searches.

If you are doing research online, make sure you’re using reliable academic sources, too. For instance, a reputable journal or a university website should be trustworthy. But a blog post with no cited sources or author information will not be suitable for academic writing. Likewise, Wikipedia is not an academic source, though you can check the citations to find sources.

Top Tip! If you are writing a thesis in the humanities, the majority of your work may involve analyzing, criticizing, and comparing secondary sources or ideas from these sources. As such, it is vital to find and engage with the major thinkers in your subject area.

For instance, if you were writing about behavioral psychology, and your thesis did not acknowledge or engage with B. F. Skinner – a hugely influential figure in behaviorism – at any point, your marker may assume you haven’t done enough research or that you have missed something important. And this may affect how they assess the rest of your work.

Even if your thesis is mainly based on primary research, it is important to show that you’ve researched past work in your subject area. If you overlook a major thinker or some recent research relevant to your own study, it could end up losing you marks!

Taking and Organizing Notes

Writing a thesis will be much simpler if you have good notes to work from. So when you’re reading a paper or book relevant to your research, make sure to:

• Take notes that are neat enough to understand when you read them.
• Note all publication details for any source you might use in your thesis.
• Organize notes so you can find them when needed (e.g., using colored labels to sort paper notes visually and having a well-labeled folder system on your computer).
• Highlight important information so that you can find it later.

Other tips for efficient note taking include:

• Use abbreviations or shorthand to aid note taking (especially in lectures).
• Summarize key passages and ideas rather than writing them down verbatim. This will make note taking quicker, as well as helping you absorb the information.
• Focus on the parts of sources most relevant to your research question.
• Record page numbers and source information for anything you make notes about.
• Use an audio recording device to record lectures.

This should leave you with detailed, easy-to-use notes when you come to write your thesis.

Data Collection and Analysis

If you are conducting empirical or experimental research, part of your research will involve data collection. This is where you gather your own information to help answer your research question. The three main styles of research include:

• Quantitative – Research that depends on numerical data. This can be based on a scientific experiment, questionnaires, or many other methods.
• Qualitative – Research that focuses on the distinguishing characteristics or traits of the thing studied, such as how something is subjectively experienced. Qualitative methods include things such as interviews, focus groups, and observations.
• Mixed methods – Research that combines quantitative and qualitative methods. The aim here is to get a more rounded picture of the thing being studied.

The same applies to data analysis methods, which can also be quantitative or qualitative. But the research approach you adopt will have a major influence on how you answer your research question, so you need to think about this carefully! Key factors may include:

• Past research – How have other studies in your subject area been done? Is there something about a past study you could draw on or improve upon? Is there existing data that you could use (e.g., from past studies or metastudies)?
• Practicality – How easy will it be to conduct your study with the resources available? How will you collect and store data? How will you analyze it after collection?
• Sampling – Where will you gather data? Will you be able to generalize it to a wider population? If you are working with human subjects, are there ethical concerns?
• Problem solving – What obstacles might you face when gathering data? Do you have time to run a pilot study (i.e., a test study) before you begin?

You may have decided on much of this while writing your research proposal, but these are issues you should consider throughout the study design process. You may also want to work with your thesis advisor to finalize your plans before collecting data.

From a planning perspective, the key is giving yourself enough time to carry out each stage of the data collection and analysis. If you rush, things are more likely to go wrong!

Writing Up Your Thesis

The structure of a thesis.

The structure of your thesis will depend heavily on the subject area. As such, we will look at how to structure empirical and non-empirical theses separately. However, as elsewhere, make sure to check what your school suggests about structuring your thesis.

Empirical Thesis Structure

Most empirical theses have a structure along the following lines:

• Title page – A page with key information about your thesis, typically including your name, the title, and the date of submission. Your school should have a standard template for thesis title pages, so make sure to check this.
• Abstract – A very short summary of your research and results.
• Content page(s) – A list of chapters/sections in your thesis. You may also need to include lists of charts, illustrations, or even abbreviations.
• Introduction – An opening chapter that sets out your research aims. It should provide any key information a reader would need to follow your thesis.
• Literature review – An examination of the most important and most up-to-date research and theoretical thought relevant to your thesis topic.
• Methodology – A detailed explanation of how you collected and analyzed data.
• Results and discussion – A section setting out the results you achieved, your analysis, and your findings based on the data. You may want to include charts, graphs and other visual methods to present key findings clearly.
• Conclusions – A final section summarizing your work and the conclusions drawn.
• References – A list of all sources used during your research.
• Appendices – Any additional documentation that is relevant to your study but would not fit in the main thesis (e.g. questionnaires, surveys, raw data).

We will look at some of these sections in more detail below.

Non-Empirical Thesis Structure

In the humanities and other non-experimental subject areas, your thesis may be structured more like a long essay, with each chapter/section adding to your argument. The structure will therefore depend on what you are arguing, but a common style is:

• Abstract – A very short summary of your research.
• Main chapters – A series of chapters where you address each main point in your argument. Ideally, each chapter should lead naturally to the next one.
• Appendices – Any additional documentation that is relevant to your work but would not fit in the main thesis (e.g., questionnaires, surveys, raw data).

We will look at some of these sections in more detail below. For the main chapters of your thesis, though, you will have to break your argument down into a series of points. To do this, review your notes with your research question in mind, then:

• Write down your main arguments in as few sentences as possible. Try to imagine explaining it to a friend or your advisor in simple terms.
• Expand each sentence with a series of detailed subpoints or premises.
• Look at how each subpoint contributes to the overall argument and use this as a guideline for structuring your thesis. Ideally, each chapter will address a single aspect of your argument in detail, complete with supporting evidence.

It can help to treat each chapter in a humanities thesis like an essay of its own, with an introduction (i.e., what you will address in the chapter at hand), a series of sub-points with evidence, and a short conclusion that leads on to the next chapter.

Writing Your Thesis

Next, we’ll look in detail at some of the sections most theses will include. As elsewhere, though, don’t forget to check your school’s requirements for the structure and content of a thesis, as some elements will vary (e.g., the length of the abstract, or whether to include separate “Results” and “Discussion” sections). If you cannot find this information on your college’s website or in course materials, ask your tutor or advisor for guidance.

Picking a Title

Your thesis title should give readers an immediate sense of what it is about. A good way to do this is to have a title and a subtitle based on topic and focus respectively:

• The topic is the broad subject area of your thesis (e.g., viral marketing techniques, the environmental effects of climate change, or food safety regulations).
• The focus is the specific thing that you are studying (e.g., the impact of social media, the change in polar bear populations, or whether regulations promote public health).

For instance, the following could all work as dissertation titles:

Viral marketing and social media: A case study of the role of influencer culture in the success of Old Spice’s “The Man Your Man Could Smell Like” campaign

Environmental Effects of Climate Change: A Qualitative Study of the Factors Behind Changing Polar Bear Populations in Alaska

Food Safety in America: Are Federal Policies Promoting Public Health?

All these titles give a sense of the question the thesis will answer. The first two are quite long, which can reduce clarity in some cases, but they also include information about the type of research conducted. The key is striking a balance between detail and clarity.

You may also want to check your style guide (or ask your advisor) for advice on how to capitalize titles. You can find information on title case and sentence case capitalization here .

Writing an Abstract

An abstract is like a preview, allowing readers to see what your thesis is about. As such, it should set out the key information about your study in a clear, concise manner.

The exact length and style of an abstract can vary, but typically it will be between 100 and 500 words long and primarily written in the past or present tense. It should include:

• What you aimed to do and why
• How you did it
• What you discovered
• Recommendations (if any)

It often helps to leave writing the abstract until you’ve at least got a first draft of your full thesis, as by that point you’ll have a better sense of your research overall.

Writing an Introduction

A good thesis introduction should set the scene for the reader, telling them everything they’ll need to know to follow the rest of your thesis. It should therefore:

• Establish the subject area and specific focus of your work.
• Explain why the topic is important and your research objectives.
• Offer some background information, including current theories or research.
• Provide a thesis or hypothesis (i.e., a short statement of what you will argue).
• Outline the structure of your thesis (i.e., what each chapter will cover).

It can help to have a strong opening line that will grab the reader’s attention, but this is not necessary. Try to avoid clichéd openings such as “Webster’s Dictionary defines [THESIS TOPIC] as…,” as these will rarely add anything useful to your paper.

One good tip is to write a rough introduction first, but to revisit it once you have a draft of your full thesis. This is because the introduction and conclusion should work like “bookends” to the rest of your thesis, so the introduction needs to reflect the content that follows.

The Literature Review

The literature review provides the theoretical foundations for your thesis. The idea is not just to summarize key concepts and studies, but to set up your own work by showing how it follows from existing research to offer something new. To do this, you may need to:

• Examine key theories or ideas that provide context for your study.
• Read sources critically and assess how they relate to your research.
• Look at the current state of research in your subject area.
• Reflect on the methods and theories used by other researchers.
• Explain how your work will develop or build upon current knowledge.

You can use your research question to guide this review. But it’s also worth asking your advisor or tutor for advice on literature you should read.

When writing up your literature review, make sure it has a clear structure. This might be chronological (i.e., in order of when the studies you discuss were done), methodological (i.e., organized in terms of the research style or approach), or thematic (i.e., organized in terms of what studies focused on or discussed). But you need to give it a clear sense of development, which ultimately should lead back to your own research question.

Methodology

The methodology chapter is where you explain, in detail, how you performed your research. This may be a relatively simple section of your thesis, but make sure to:

• Include something about your research approach (e.g., qualitative vs. quantitative) and why it was the best choice for your study.
• Be descriptive! Make sure to detail each step of how you gathered and analyzed data. This includes any equipment or techniques used, as well as the conditions under which you gathered your data. Ideally, a reader should be able to replicate your research from reading your methodology section.
• Justify your choices. From equipment to analysis, you should have a reason for every decision you make about the methodology of your study.
• Mention any obstacles you faced or any limitations of your chosen methods.
• Consider ethical concerns. If you had to seek approval from an ethics panel to conduct your research, make sure to detail it here.

The appendices can be useful here, as you can use them for information that is relevant but not essential for explaining your methodology (e.g., survey templates, consent forms). If you do include anything like this in your appendices, though, make sure to reference it clearly in your methodology chapter (e.g., “For more information, see Appendix C…”).

Results and Discussion

This is where you set out the results of your research, including data, analysis, and findings. 

This can vary a lot depending on your subject area and school. Some use a combined “ Results and Discussion ” section, where results are presented alongside analysis. Some prefer to separate the results and the discussion into separate chapters. As such, you will want to check with your advisor about the best way to present your results.

Generally, though, reliable tips for presenting results in a thesis include:

• Offer context – Raw data may be difficult to follow, so make sure to include enough text to guide the reader through your findings. Ideally, it should be clear how everything in this section helps you to answer your initial research question.
• Focus on the most relevant data – If you’ve collected lots of data, make sure to focus on the parts that are most relevant to your research question. If you try to include everything, key findings may get lost among the information overload.
• Use visuals – If appropriate, consider using charts, graphs, tables, or figures to present results, as these can make complex data easier to visualize. However, make sure to label all charts and figures carefully so their relevance is clear.

The “Discussion” part should focus on the significance of your results. Think about:

• How the data supports (or disproves) your initial hypothesis. 
• How your results compare to those of the studies in your literature review.
• Whether any problems encountered during the research, or the previously outlined limitations of your methods, affect the validity of your results.
• The implications of your study for future theory, research, and practice.

Since this is where you really dig into the value of your research, the “Results and Discussion” section may be the most important part of your thesis. As such, you should take time to make sure it thoroughly addresses your chosen research question.

Writing a Conclusion

The conclusion is where you tie everything up together. As mentioned earlier, it should work with the introduction to “bookend” your thesis. As such, it should:

• Start by briefly recapping the thesis topic and your research question.
• Summarize the main points of your argument/your results.
• Draw conclusions and explain how your research supports them.
• Consider the implications of your research (e.g., its significance for your field of study or real-life applications of your results).

Your overall aim is to briefly explain how you have answered your research question. However, make sure not to introduce new arguments or evidence in the conclusion. If you need these to support your point, they should be included in the main body of the thesis.

Referencing and Quoting Sources

In any academic document, you will need to cite sources. This typically means:

• Citing sources in the main text of your thesis.
• Adding a reference list or bibliography at the end of the document.

The details of how to do this will depend on the referencing style or system  you’re using, so remember to check your style guide . However, we will offer some general tips here.

Why Cite Sources?

Referencing involves identifying the sources you’ve used in your research, usually with some kind of in-text citations and full publication information for all sources in a reference list.

There are several reasons to take referencing seriously in your thesis:

• You get to show off your research skills and ability to find relevant information.
• It is good practice to credit other thinkers for their ideas.
• It provides vital context for your own work.
• Failing to cite sources will be treated as plagiarism (i.e., using someone else’s words or ideas without crediting them), which could have negative consequences.

This last point is the most important as plagiarism is considered academic fraud. And if you’re found to have plagiarized someone else’s work in your thesis, you will lose marks.

You will need to cite a source whenever you:

• Quote or paraphrase another person’s words.
• Refer to facts or figures that aren’t common public knowledge.
• Refer to an idea or theory you found published somewhere.
• Use an image or illustration that you did not create yourself.

This should protect you from unfair accusations of plagiarism.

In-Text Citations

In-text citations come in three main types, each used by different referencing systems:

• Parenthetical Citations – This involves giving citations in brackets in the main body of your thesis. Often, this will be the author’s surname, the year of publication, and page numbers (e.g., Harvard, APA). However, some systems differ, such as MLA, which only gives the author’s surname and page number(s).
• Number–Footnote Citations – Some referencing systems indicate citations with a number in the text, then give source information in footnotes (e.g., Oxford, MHRA).
• Number–Endnote Citations – Similar to the above, number–endnote systems use numbered citations in the main text (e.g., Vancouver, IEEE). However, in this case the numbers point to an entry in a reference list at the end of the document.

And while these citation styles differ, there are some tips that apply in all cases:

• Always check your school’s style guide to find their preferred citation style.
• Make sure every source used in the main text is cited.
• Make sure that all cited sources are included in a reference list.
• Apply a consistent citation style throughout each essay.

As above, this will help ensure you don’t accidentally commit plagiarism in your writing.

Quoting Sources

Quoting sources is a great way of supporting your arguments in a thesis. However, if you are going to quote a source in your writing, you need to do it right.

The first step is knowing when to quote a source. Generally, this is most useful when:

• Your point depends on the exact wording (e.g., if you are discussing why an author used a specific term in their work).
• The original text is especially well expressed and rephrasing it would detract from this.

If you do quote a source, make sure to place the borrowed text in “quotation marks.” This shows the reader that you have taken it from somewhere else. The accompanying citation should then identify the source and the page(s) where the quote can be found.

In many cases, it is better to paraphrase a source than quote it. This means rewriting the passage in your own words, which shows that you have understood it. However, remember that you still need to cite sources when paraphrasing something.

Reference Lists and Bibliographies

Every academic document that cites sources should include a reference list or bibliography. These terms are sometimes used interchangeably, but the general difference is:

• A reference list is a list of every source cited in your thesis.
• A bibliography should include any source you used while researching your thesis (even the ones that you did not cite directly in your work).

As with citations, this may depend on the system you’re using and different referencing systems will have different rules for creating a reference list. In all cases, though:

• Make sure to check your school’s style guide for advice on whether to create a reference list or a bibliography (and what to include in it).
• Check that you know the reference formats for every source type you have used (e.g., a print book will have a different format to an online journal article).
• Make sure all references are clear and consistent.

One helpful tip for drawing up your reference list/bibliography is to keep a running list of sources as you work. In other words, whenever you find something useful during research, note down the publication details. You will then have all the information required if you need to reference it later (plus, you’ll be able to find the same source quickly if you need it).

Reference Management Software

Finally, you may want to look at using reference management software when writing a thesis. This refers to programs that store and organize your references, such as:

• EndNote – EndNote works with all major referencing systems, source types and word processors. The full version is paid, but there is a limited free version.
• Mendeley – This is a free tool for managing and citing PDF documents. It is therefore most useful when the majority of your sources are in this format.
• Zotero – This package has an internet browser plugin that can automatically import source information from websites and add citations to your work.
• RefWorks – This web-based system provides a simple way of collating sources that can be accessed from any computer with an internet connection.

Whether you use reference management software or not, you should always double check citations and the reference list before submitting your work. That way, you can be sure that the referencing in your thesis is clear, consistent, and error free.

Additional Resources

For more information on referencing in different systems, see our blog posts on:

Not every thesis will include an appendix or appendices. However, as mentioned above, you can put useful but non-essential information in an appendix.

Common examples of things that you might put in an appendix include:

• Raw test data
• Technical figures, graphs and tables
• Maps, charts and illustrations
• Letters and emails
• Sample questionnaires and surveys
• Interview transcripts

You will need to check your style guide for advice on appendices, such as whether they count towards the word limit, but standard rules for adding appendices include:

• Place appendices at the end of your document after the reference list.
• Divide appendices by topic so that each appendix contains one type of information (e.g., separate sections for test results, illustrations and transcripts).
• Start each appendix on a new page and label it with a letter or number, along with a title clarifying content (Appendix A: Instrument Diagrams, Appendix B: Test Results).
• List appendices in the table of contents at the beginning of your document.

If you then needed to point the reader to something in an appendix in the main body of your thesis, you would simply have to cite the relevant appendix label. For instance:

The interviews show that most people like ice cream (see Appendix C for full transcripts).

This lets you keep the main text of your thesis focused on the research question.

Word Count Advice

Most theses come with a suggested word count. Ideally, you will get as close to this as you can (within 10% either way is usually acceptable). Exceeding or being significantly below the word limit may lose you marks, so make sure you know what to aim for.

If you are struggling to stay within the word limit on an essay:

• Look for and cut out any repetition in your work.
• Consider whether non-essential information may fit better in an appendix (but make sure to check whether appendices count towards the word limit).
• Remove redundant pairs (i.e., terms like “each and every” or “final outcome”).
• Edit out unnecessary modifiers and qualifying terms (e.g., you can often cut words like “quite,” “very,” and “really” without losing anything of substance).
• Replace phrases with a word (e.g., “due to the fact that” = “because”).
• Cut down long or unnecessary quotations.
• Use the active voice instead of the passive voice.

If you are struggling to reach the suggested word count, you can:

• Do more research to develop your argument further.
• Add quotes or examples to support your arguments.
• Introduce alternative points of view for comparison.

The key is that anything you add to increase the word count should also add to your argument. Do not try to pad out your writing by simply adding extra words and phrases.

Editing and Proofreading a Thesis

Before submitting an essay, you will want it to be perfect. This means that you shouldn’t just submit the first draft you write. Instead, you’ll want to go over your work and refine it.

We’ve touched upon this above in our tips on staying within the word count. In this last section, though, we’ll look at editing and proofreading an essay in more detail.

The Drafting Process

A “draft” is a version of a document, with the “final draft” the finished version. And writing a good thesis will require redrafting. This might be because the focus of your thesis shifts part way through, meaning you need to tweak what you’ve already written. Or it may simply be that you wrote your introduction first and want to adjust it after finishing your conclusion.

In any case, redrafting is a good way to polish your writing and pick up extra marks (as well as to avoid embarrassing errors and typos). Typically, the process looks like this:

• First Draft – An initial version based on your thesis plan. It doesn’t matter if this isn’t perfect right away, as you’ll have a chance to improve it by redrafting.
• Second Draft – After finishing the first draft of your full thesis, go back over each chapter and make sure it fits within the document as a whole. This may include making changes to fix errors, to highlight connections between different parts of your thesis, or to make sure each section flows smoothly into the next one.
• Third Draft Onwards – Repeat the step above as required. This is vital in a thesis-length document, as it is easy to overlook typos when dealing with large amounts of text. Each time you redraft, you should need to make fewer revisions.
• Final Draft – This is the finished thesis. However, you’ll still want to do one final check to eliminate remaining typos. This final check is often known as “proofreading.”

The key to a truly great thesis is giving yourself enough time to redraft at least once or twice. Keep this in mind when working out your schedule before you begin writing.

Another point to note here is that some online companies offer to redraft your thesis for you. However, using an editing service may count as plagiarism if your work is being marked. 

But it is a good idea to seek professional proofreading for your thesis.

Proofreading Your Thesis

Proofreading differs from editing because it focuses on technical errors, such as spelling and grammar mistakes, while preserving the meaning and content of your writing. As such, you can have your work proofread without falling foul of plagiarism rules.

Proofreading your own work can be difficult as it’s easy to miss errors when you’re already familiar with a document. If you do plan to proofread your own thesis, though:

• Take some time off before you begin. This will help you spot errors that you might otherwise miss from being too familiar.
• Print it out and proofread on paper instead of on the screen.
• Try reading problem sections out loud or in reverse (i.e., starting from the end of the part you’re having trouble with and working backwards).
• If you are reading it on screen, make sure to set the proofing language. In Microsoft Word, you can do this via Review > Language > Set Proofing Language .

It is almost always best to have someone else proofread your work, though. If you would like one of Proofed’s academic writing experts to check your thesis, why not upload a document  today?

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Dissertation examples

Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.

• Undergraduate examples
• Taught Masters examples

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What is the length of empirical and non empirical dissertations? Cite some examples from biological and life sciences domain

Master’s dissertations are a crucial part of a Master’s degree. Students may be asked to do various types of dissertations , depending on their speciality and research objective. However, the most common types of dissertations are empirical dissertations and non-empirical dissertations.

What is an empirical dissertation?

• An empirical dissertation is one that deals with collecting and analysing original data. The original data is also called primary data.
• A systematic approach to research methodology is followed for developing research questions, selecting study subjects, data collection and data analysis in an empirical dissertation.
• The research methods involved in an empirical dissertation include surveys, interviews and observations. Empirical research methods are commonly used in social science and science.

What is the length of an empirical dissertation?

• The length of an empirical dissertation can vary depending on the specific guidelines set by the university and the discipline.
• Generally, an empirical dissertation in the UK can range from 10,000 to 15,000 words for a bachelor’s degree, 15,000 to 20,000 words for a master’s degree, and 60,000 to 100,000 words for a doctoral degree.
• The dissertation guidelines regarding the length of a dissertation may differ depending on the university and the specific requirements of the program. It is important to check the guidelines provided by the university and the department to ensure that the dissertation meets the required length and format (Button, 2020).

What is a non empirical dissertation?

• Non empirical dissertations are those that deal with critically analysing literature from previous research and policies.
• No original or primary data is collected in a non empirical dissertation. Data from previous research is used instead for analysis. This data is known as secondary data .
• Non empirical dissertations are commonly used in fields like literature and arts.

What is the length of a non empirical dissertation?

• Like the empirical dissertation, the length of a non empirical dissertation differs depending on the specific requirements of the academic institution and the program of study.
• Generally, non-empirical dissertations are shorter than empirical dissertations and typically range from 15,000 to 25,000 words.
• However, checking with your academic supervisor or program guidelines for specific requirements is essential (Ullah, 2018).

Examples of empirical and non-empirical dissertations in Biology and life sciences

The field of biological and life sciences is vast and may involve empirical and non empirical dissertations, depending on the research question.

The following are empirical dissertation examples in biology and life sciences:

• “Bioinformatic Methods for Assessing the Tumour Mutation in Small Cell Lung Cancer: An Empirical Study” by Karl Cooper. This study deals with the application of bioinformatic methods that assess how Tumour Mutation Burden can be used to detect Small Cell Lung Cancer.
• “ The evolution of bacterial culture by altering culture conditions: An Empirical Study” by Catherine Packard. This study explores how selective media helps identify and isolate strains that require specific conditions to grow.
• “ An empirical study on the type of diet on fat loss” by Maria Karpov. Many types of diet are available: Keto, Intermittent fasting and Carb cycling, and this study seeks to determine which diet is best suited for fat loss.
• “An analysis of the development of Antimicrobial Resistant Strains in St. Louis Hospital: An Empirical Study” by James Robinson. Antimicrobial resistance (AMR) is a serious health concern, and this study deals with studying the development of antimicrobial strains in a hospital.
• “ An empirical study of physiological and physical characteristics in car racers” by Diane Rodriguez. This study delves into the physiological and physical characteristics of car racers and how they are different from sedentary individuals.

The following are non empirical dissertation examples in biology and life sciences:

• “Environmental Hormesis, and its Role in Environmental Safety: A non-Empirical Study”; by Clare Shilling. This dissertation strives to clarify the concept of environmental hormesis and how it ensures environmental safety. This dissertation uses non empirical methods, including a review of existing literature and theoretical analysis.
• “The Role of Digitalisation on Agricultural Practices: A Non-Empirical Study” The main focus of this dissertation is to explore the impacts of digitalisation on agricultural practices and how digitalisation can shape the future.
• “ A review on the impact of climate change on Mental Health: A Non-Empirical Study” by David Spencer. This dissertation studies the available literature and analyses how climate change can influence mental health.
• “The interpretation and decline of major insect species: A Non-Empirical Study” by Martha Schneider. This study examines the factors that led to insect decline, how it could impact the environment and what measures could be implemented to prevent further decline.
• “A Non-Empirical study exploring the complex molecular genomics of familial hypercholesterolemia” by Chris Hiddleson. This study discusses the various genes that contribute to the development of hypercholesterolemia and how the condition can be detected in asymptomatic individuals.

To know more about how a dissertation is written in life sciences, check out our example on Enhancing Undergraduate Medical Education through Simulation: A Pathway to Realistic Clinical Training .

Non empirical dissertation examples in other fields:

Some examples of non-empirical dissertations in other fields are:

• A theoretical analysis of the concept of Justice in Political Philosophy
• An exploration of the history and development of literary genres in English literature
• An Examination of the Role of Technology in shaping modern marketing strategies
• A Critical review of the effectiveness of cognitive behavioural therapy in treating anxiety disorders
• A study of the ethical and legal considerations surrounding artificial intelligence in the field of computer science

Check out our dissertation examples to know how a dissertation is written in various fields.

  Conclusion

There are many types of dissertations, and empirical and non empirical dissertations are the most common ones. Empirical dissertation deals with collecting original data from study participants, while non empirical dissertations deal with obtaining data from previously conducted research, synthesising the information and drawing inferences. The choice of selecting type depends on the objectives and the research questions.

About Tutors India

We are a team of academic experts and Researchers who assist Master’s students with dissertations. Our diverse team enables us to help students mastering in various fields. We offer part or full dissertation help and assist students at every step of the dissertation process, be it choosing a dissertation topic, drafting a research proposal and helping with research methodology, dissertation plan, data collection and statistical analysis. We also offer technical editing services and help students with resit dissertation , ensuring their dissertation follows the university specifications and is error- and plagiarism-free.

For more guidance on what key points to consider while resubmitting the Master’s dissertation , check out our study guide .

Button, K. S., Chambers, C. D., Lawrence, N., & Munafò, M. R. (2020). Grassroots Training for Reproducible Science: A Consortium-Based Approach to the Empirical Dissertation.  Psychology Learning & Teaching ,  19 (1), 77–90.  https://doi.org/10.1177/1475725719857659

Ullah, A., & Ameen, K. (2018). Account of methodologies and methods applied in LIS research: A systematic review.  Library & information science research ,  40 (1), 53-60. https://doi.org/10.1016/j.lisr.2018.03.002 .

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