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Glossary in a Dissertation – A Comprehensive Guide

Published by Owen Ingram at August 26th, 2021 , Revised On September 20, 2023

A list of glossary contains all those terms used in your dissertation, but the meanings of which may not be evident to the readers. Here is all you need to know about the glossary in a dissertation.

Basically, any term you use in your dissertation that you know, without a doubt, is not going to be common knowledge to readers outside of your field, is included in a list called glossary. And since every field has its unique, technical jargon, a glossary list can contain many terms some readers might not have even heard of before.

A typical glossary in a dissertation may look something like this:

Do you Even Need Glossary in your Dissertation to Begin with?

You may or may not be required to have a separate list of glossaries in your  dissertation . The decision whether to have a list of glossaries in a dissertation depends on whether it will improve the readability of your paper.

For example , if you are  writing a dissertation  for an engineering degree and have used several technical terms that readers—especially laymen—may not be familiar with, \ it is advised to add a glossary in a dissertation.

Listing Terms in a Glossary

A recommended practice of adding a glossary in a dissertation is to sort the terms alphabetically and provide a definition or explanations for each of those terms. Having the terms listed in alphabetical order will help the readers to easily locate the information they are interested in.

Location of a Glossary List in a Dissertation

The glossary list is generally placed at the beginning of the dissertation paper, just after the  list of tables and figures or the list of abbreviations.  However, if your paper does not have a list of abbreviations or a list of tables and figures, you can place the glossary right after the  table of contents .

This gives readers the opportunity to understand the meanings of key terms they are not familiar with even before they start to read the main content of the paper.

However, if you haven’t used a lot of technical terms in your dissertation, you can choose to provide an explanation and meanings of the few terms that you have used in the form of footnotes .

Difference Between Abbreviations and Glossary

It is important not to confuse the glossary in the dissertation with the abbreviations, which are put in the list of abbreviations.

A list of abbreviations contains all the terms that have abbreviations. For instance, if you have used terms like NASA , UNICEF , UNESCO , UN , NIH , etc., such terms along with what they stand for will come under the list of abbreviations.

Note, however, that only their full forms, and not their meanings, are mentioned in that list. That is what’s mentioned in a glossary list, though: meanings. Definitions of terms, terms that were used in the dissertation. The terms themselves aren’t abbreviation.

For instance, in a linguistics’ dissertation, you might end up creating a glossary list containing terms like phenomenology, code-switching, diglossia, etc. Notice how these are complete terms , not abbreviations.

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Example of a Glossary in Dissertation

If you haven’t created a list of glossaries before then you will find the below example of a glossary in a dissertation particularly useful:

Other Lists you can have in your Dissertation

You might also want to have a list of tables and figures as well as a list of abbreviations in your dissertation particularly if you are writing a master’s or PhD dissertation. However, make sure to keep the following order:

• Table of contents
• Lists of figures and tables
• List of abbreviations

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FAQs About Glossary in a Dissertation

What is a glossary.

It’s a list of special terms—single words, phrases, etc.—that are not commonly known to the ‘average’ reader or to a reader who isn’t an expert in that field.

What is included in a glossary?

Ideally, words are included in a glossary. However, in some cases—depending on the topic— abbreviations , phrases etc. might also be mentioned within the list of glossary in a dissertation. Sometimes, it might also include a brief definition of how to pronounce a certain word/phrase.

What is the best way to create a glossary?

Keep in mind two things while creating a glossary list: keep the language of the definition simple so that every kind of reader can understand it. That’s why a glossary is given, to begin with, to simplify technical jargon and inform laymen. Secondly, arrange the terms inside it alphabetically.

How many times can I include the same term in a glossary list?

No matter how many times a word or a phrase appears in your dissertation , include it and define it only once in your glossary. There should be no duplicate entries in a glossary list.

You May Also Like

Dissertation Methodology is the crux of dissertation project. In this article, we will provide tips for you to write an amazing dissertation methodology.

Writing a dissertation can be tough if this is the first time you are doing it. You need to look into relevant literature, analyze past researches, conduct surveys, interviews etc.

If your dissertation includes many abbreviations, it would make sense to define all these abbreviations in a list of abbreviations in alphabetical order.

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Organizing Your Social Sciences Research Paper

Glossary of research terms.

• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

This glossary is intended to assist you in understanding commonly used terms and concepts when reading, interpreting, and evaluating scholarly research. Also included are common words and phrases defined within the context of how they apply to research in the social and behavioral sciences.

• Acculturation -- refers to the process of adapting to another culture, particularly in reference to blending in with the majority population [e.g., an immigrant adopting American customs]. However, acculturation also implies that both cultures add something to one another, but still remain distinct groups unto themselves.
• Accuracy -- a term used in survey research to refer to the match between the target population and the sample.
• Affective Measures -- procedures or devices used to obtain quantified descriptions of an individual's feelings, emotional states, or dispositions.
• Aggregate -- a total created from smaller units. For instance, the population of a county is an aggregate of the populations of the cities, rural areas, etc. that comprise the county. As a verb, it refers to total data from smaller units into a large unit.
• Anonymity -- a research condition in which no one, including the researcher, knows the identities of research participants.
• Baseline -- a control measurement carried out before an experimental treatment.
• Behaviorism -- school of psychological thought concerned with the observable, tangible, objective facts of behavior, rather than with subjective phenomena such as thoughts, emotions, or impulses. Contemporary behaviorism also emphasizes the study of mental states such as feelings and fantasies to the extent that they can be directly observed and measured.
• Beliefs -- ideas, doctrines, tenets, etc. that are accepted as true on grounds which are not immediately susceptible to rigorous proof.
• Benchmarking -- systematically measuring and comparing the operations and outcomes of organizations, systems, processes, etc., against agreed upon "best-in-class" frames of reference.
• Bias -- a loss of balance and accuracy in the use of research methods. It can appear in research via the sampling frame, random sampling, or non-response. It can also occur at other stages in research, such as while interviewing, in the design of questions, or in the way data are analyzed and presented. Bias means that the research findings will not be representative of, or generalizable to, a wider population.
• Case Study -- the collection and presentation of detailed information about a particular participant or small group, frequently including data derived from the subjects themselves.
• Causal Hypothesis -- a statement hypothesizing that the independent variable affects the dependent variable in some way.
• Causal Relationship -- the relationship established that shows that an independent variable, and nothing else, causes a change in a dependent variable. It also establishes how much of a change is shown in the dependent variable.
• Causality -- the relation between cause and effect.
• Central Tendency -- any way of describing or characterizing typical, average, or common values in some distribution.
• Chi-square Analysis -- a common non-parametric statistical test which compares an expected proportion or ratio to an actual proportion or ratio.
• Claim -- a statement, similar to a hypothesis, which is made in response to the research question and that is affirmed with evidence based on research.
• Classification -- ordering of related phenomena into categories, groups, or systems according to characteristics or attributes.
• Cluster Analysis -- a method of statistical analysis where data that share a common trait are grouped together. The data is collected in a way that allows the data collector to group data according to certain characteristics.
• Cohort Analysis -- group by group analytic treatment of individuals having a statistical factor in common to each group. Group members share a particular characteristic [e.g., born in a given year] or a common experience [e.g., entering a college at a given time].
• Confidentiality -- a research condition in which no one except the researcher(s) knows the identities of the participants in a study. It refers to the treatment of information that a participant has disclosed to the researcher in a relationship of trust and with the expectation that it will not be revealed to others in ways that violate the original consent agreement, unless permission is granted by the participant.
• Confirmability Objectivity -- the findings of the study could be confirmed by another person conducting the same study.
• Construct -- refers to any of the following: something that exists theoretically but is not directly observable; a concept developed [constructed] for describing relations among phenomena or for other research purposes; or, a theoretical definition in which concepts are defined in terms of other concepts. For example, intelligence cannot be directly observed or measured; it is a construct.
• Construct Validity -- seeks an agreement between a theoretical concept and a specific measuring device, such as observation.
• Constructivism -- the idea that reality is socially constructed. It is the view that reality cannot be understood outside of the way humans interact and that the idea that knowledge is constructed, not discovered. Constructivists believe that learning is more active and self-directed than either behaviorism or cognitive theory would postulate.
• Content Analysis -- the systematic, objective, and quantitative description of the manifest or latent content of print or nonprint communications.
• Context Sensitivity -- awareness by a qualitative researcher of factors such as values and beliefs that influence cultural behaviors.
• Control Group -- the group in an experimental design that receives either no treatment or a different treatment from the experimental group. This group can thus be compared to the experimental group.
• Controlled Experiment -- an experimental design with two or more randomly selected groups [an experimental group and control group] in which the researcher controls or introduces the independent variable and measures the dependent variable at least two times [pre- and post-test measurements].
• Correlation -- a common statistical analysis, usually abbreviated as r, that measures the degree of relationship between pairs of interval variables in a sample. The range of correlation is from -1.00 to zero to +1.00. Also, a non-cause and effect relationship between two variables.
• Covariate -- a product of the correlation of two related variables times their standard deviations. Used in true experiments to measure the difference of treatment between them.
• Credibility -- a researcher's ability to demonstrate that the object of a study is accurately identified and described based on the way in which the study was conducted.
• Critical Theory -- an evaluative approach to social science research, associated with Germany's neo-Marxist “Frankfurt School,” that aims to criticize as well as analyze society, opposing the political orthodoxy of modern communism. Its goal is to promote human emancipatory forces and to expose ideas and systems that impede them.
• Data -- factual information [as measurements or statistics] used as a basis for reasoning, discussion, or calculation.
• Data Mining -- the process of analyzing data from different perspectives and summarizing it into useful information, often to discover patterns and/or systematic relationships among variables.
• Data Quality -- this is the degree to which the collected data [results of measurement or observation] meet the standards of quality to be considered valid [trustworthy] and  reliable [dependable].
• Deductive -- a form of reasoning in which conclusions are formulated about particulars from general or universal premises.
• Dependability -- being able to account for changes in the design of the study and the changing conditions surrounding what was studied.
• Dependent Variable -- a variable that varies due, at least in part, to the impact of the independent variable. In other words, its value “depends” on the value of the independent variable. For example, in the variables “gender” and “academic major,” academic major is the dependent variable, meaning that your major cannot determine whether you are male or female, but your gender might indirectly lead you to favor one major over another.
• Deviation -- the distance between the mean and a particular data point in a given distribution.
• Discourse Community -- a community of scholars and researchers in a given field who respond to and communicate to each other through published articles in the community's journals and presentations at conventions. All members of the discourse community adhere to certain conventions for the presentation of their theories and research.
• Discrete Variable -- a variable that is measured solely in whole units, such as, gender and number of siblings.
• Distribution -- the range of values of a particular variable.
• Effect Size -- the amount of change in a dependent variable that can be attributed to manipulations of the independent variable. A large effect size exists when the value of the dependent variable is strongly influenced by the independent variable. It is the mean difference on a variable between experimental and control groups divided by the standard deviation on that variable of the pooled groups or of the control group alone.
• Emancipatory Research -- research is conducted on and with people from marginalized groups or communities. It is led by a researcher or research team who is either an indigenous or external insider; is interpreted within intellectual frameworks of that group; and, is conducted largely for the purpose of empowering members of that community and improving services for them. It also engages members of the community as co-constructors or validators of knowledge.
• Empirical Research -- the process of developing systematized knowledge gained from observations that are formulated to support insights and generalizations about the phenomena being researched.
• Epistemology -- concerns knowledge construction; asks what constitutes knowledge and how knowledge is validated.
• Ethnography -- method to study groups and/or cultures over a period of time. The goal of this type of research is to comprehend the particular group/culture through immersion into the culture or group. Research is completed through various methods but, since the researcher is immersed within the group for an extended period of time, more detailed information is usually collected during the research.
• Expectancy Effect -- any unconscious or conscious cues that convey to the participant in a study how the researcher wants them to respond. Expecting someone to behave in a particular way has been shown to promote the expected behavior. Expectancy effects can be minimized by using standardized interactions with subjects, automated data-gathering methods, and double blind protocols.
• External Validity -- the extent to which the results of a study are generalizable or transferable.
• Factor Analysis -- a statistical test that explores relationships among data. The test explores which variables in a data set are most related to each other. In a carefully constructed survey, for example, factor analysis can yield information on patterns of responses, not simply data on a single response. Larger tendencies may then be interpreted, indicating behavior trends rather than simply responses to specific questions.
• Field Studies -- academic or other investigative studies undertaken in a natural setting, rather than in laboratories, classrooms, or other structured environments.
• Focus Groups -- small, roundtable discussion groups charged with examining specific topics or problems, including possible options or solutions. Focus groups usually consist of 4-12 participants, guided by moderators to keep the discussion flowing and to collect and report the results.
• Framework -- the structure and support that may be used as both the launching point and the on-going guidelines for investigating a research problem.
• Generalizability -- the extent to which research findings and conclusions conducted on a specific study to groups or situations can be applied to the population at large.
• Grey Literature -- research produced by organizations outside of commercial and academic publishing that publish materials, such as, working papers, research reports, and briefing papers.
• Grounded Theory -- practice of developing other theories that emerge from observing a group. Theories are grounded in the group's observable experiences, but researchers add their own insight into why those experiences exist.
• Group Behavior -- behaviors of a group as a whole, as well as the behavior of an individual as influenced by his or her membership in a group.
• Hypothesis -- a tentative explanation based on theory to predict a causal relationship between variables.
• Independent Variable -- the conditions of an experiment that are systematically manipulated by the researcher. A variable that is not impacted by the dependent variable, and that itself impacts the dependent variable. In the earlier example of "gender" and "academic major," (see Dependent Variable) gender is the independent variable.
• Individualism -- a theory or policy having primary regard for the liberty, rights, or independent actions of individuals.
• Inductive -- a form of reasoning in which a generalized conclusion is formulated from particular instances.
• Inductive Analysis -- a form of analysis based on inductive reasoning; a researcher using inductive analysis starts with answers, but formulates questions throughout the research process.
• Insiderness -- a concept in qualitative research that refers to the degree to which a researcher has access to and an understanding of persons, places, or things within a group or community based on being a member of that group or community.
• Internal Consistency -- the extent to which all questions or items assess the same characteristic, skill, or quality.
• Internal Validity -- the rigor with which the study was conducted [e.g., the study's design, the care taken to conduct measurements, and decisions concerning what was and was not measured]. It is also the extent to which the designers of a study have taken into account alternative explanations for any causal relationships they explore. In studies that do not explore causal relationships, only the first of these definitions should be considered when assessing internal validity.
• Life History -- a record of an event/events in a respondent's life told [written down, but increasingly audio or video recorded] by the respondent from his/her own perspective in his/her own words. A life history is different from a "research story" in that it covers a longer time span, perhaps a complete life, or a significant period in a life.
• Margin of Error -- the permittable or acceptable deviation from the target or a specific value. The allowance for slight error or miscalculation or changing circumstances in a study.
• Measurement -- process of obtaining a numerical description of the extent to which persons, organizations, or things possess specified characteristics.
• Meta-Analysis -- an analysis combining the results of several studies that address a set of related hypotheses.
• Methodology -- a theory or analysis of how research does and should proceed.
• Methods -- systematic approaches to the conduct of an operation or process. It includes steps of procedure, application of techniques, systems of reasoning or analysis, and the modes of inquiry employed by a discipline.
• Mixed-Methods -- a research approach that uses two or more methods from both the quantitative and qualitative research categories. It is also referred to as blended methods, combined methods, or methodological triangulation.
• Modeling -- the creation of a physical or computer analogy to understand a particular phenomenon. Modeling helps in estimating the relative magnitude of various factors involved in a phenomenon. A successful model can be shown to account for unexpected behavior that has been observed, to predict certain behaviors, which can then be tested experimentally, and to demonstrate that a given theory cannot account for certain phenomenon.
• Models -- representations of objects, principles, processes, or ideas often used for imitation or emulation.
• Naturalistic Observation -- observation of behaviors and events in natural settings without experimental manipulation or other forms of interference.
• Norm -- the norm in statistics is the average or usual performance. For example, students usually complete their high school graduation requirements when they are 18 years old. Even though some students graduate when they are younger or older, the norm is that any given student will graduate when he or she is 18 years old.
• Null Hypothesis -- the proposition, to be tested statistically, that the experimental intervention has "no effect," meaning that the treatment and control groups will not differ as a result of the intervention. Investigators usually hope that the data will demonstrate some effect from the intervention, thus allowing the investigator to reject the null hypothesis.
• Ontology -- a discipline of philosophy that explores the science of what is, the kinds and structures of objects, properties, events, processes, and relations in every area of reality.
• Panel Study -- a longitudinal study in which a group of individuals is interviewed at intervals over a period of time.
• Participant -- individuals whose physiological and/or behavioral characteristics and responses are the object of study in a research project.
• Peer-Review -- the process in which the author of a book, article, or other type of publication submits his or her work to experts in the field for critical evaluation, usually prior to publication. This is standard procedure in publishing scholarly research.
• Phenomenology -- a qualitative research approach concerned with understanding certain group behaviors from that group's point of view.
• Philosophy -- critical examination of the grounds for fundamental beliefs and analysis of the basic concepts, doctrines, or practices that express such beliefs.
• Phonology -- the study of the ways in which speech sounds form systems and patterns in language.
• Policy -- governing principles that serve as guidelines or rules for decision making and action in a given area.
• Policy Analysis -- systematic study of the nature, rationale, cost, impact, effectiveness, implications, etc., of existing or alternative policies, using the theories and methodologies of relevant social science disciplines.
• Population -- the target group under investigation. The population is the entire set under consideration. Samples are drawn from populations.
• Position Papers -- statements of official or organizational viewpoints, often recommending a particular course of action or response to a situation.
• Positivism -- a doctrine in the philosophy of science, positivism argues that science can only deal with observable entities known directly to experience. The positivist aims to construct general laws, or theories, which express relationships between phenomena. Observation and experiment is used to show whether the phenomena fit the theory.
• Predictive Measurement -- use of tests, inventories, or other measures to determine or estimate future events, conditions, outcomes, or trends.
• Principal Investigator -- the scientist or scholar with primary responsibility for the design and conduct of a research project.
• Probability -- the chance that a phenomenon will occur randomly. As a statistical measure, it is shown as p [the "p" factor].
• Questionnaire -- structured sets of questions on specified subjects that are used to gather information, attitudes, or opinions.
• Random Sampling -- a process used in research to draw a sample of a population strictly by chance, yielding no discernible pattern beyond chance. Random sampling can be accomplished by first numbering the population, then selecting the sample according to a table of random numbers or using a random-number computer generator. The sample is said to be random because there is no regular or discernible pattern or order. Random sample selection is used under the assumption that sufficiently large samples assigned randomly will exhibit a distribution comparable to that of the population from which the sample is drawn. The random assignment of participants increases the probability that differences observed between participant groups are the result of the experimental intervention.
• Reliability -- the degree to which a measure yields consistent results. If the measuring instrument [e.g., survey] is reliable, then administering it to similar groups would yield similar results. Reliability is a prerequisite for validity. An unreliable indicator cannot produce trustworthy results.
• Representative Sample -- sample in which the participants closely match the characteristics of the population, and thus, all segments of the population are represented in the sample. A representative sample allows results to be generalized from the sample to the population.
• Rigor -- degree to which research methods are scrupulously and meticulously carried out in order to recognize important influences occurring in an experimental study.
• Sample -- the population researched in a particular study. Usually, attempts are made to select a "sample population" that is considered representative of groups of people to whom results will be generalized or transferred. In studies that use inferential statistics to analyze results or which are designed to be generalizable, sample size is critical, generally the larger the number in the sample, the higher the likelihood of a representative distribution of the population.
• Sampling Error -- the degree to which the results from the sample deviate from those that would be obtained from the entire population, because of random error in the selection of respondent and the corresponding reduction in reliability.
• Saturation -- a situation in which data analysis begins to reveal repetition and redundancy and when new data tend to confirm existing findings rather than expand upon them.
• Semantics -- the relationship between symbols and meaning in a linguistic system. Also, the cuing system that connects what is written in the text to what is stored in the reader's prior knowledge.
• Social Theories -- theories about the structure, organization, and functioning of human societies.
• Sociolinguistics -- the study of language in society and, more specifically, the study of language varieties, their functions, and their speakers.
• Standard Deviation -- a measure of variation that indicates the typical distance between the scores of a distribution and the mean; it is determined by taking the square root of the average of the squared deviations in a given distribution. It can be used to indicate the proportion of data within certain ranges of scale values when the distribution conforms closely to the normal curve.
• Statistical Analysis -- application of statistical processes and theory to the compilation, presentation, discussion, and interpretation of numerical data.
• Statistical Bias -- characteristics of an experimental or sampling design, or the mathematical treatment of data, that systematically affects the results of a study so as to produce incorrect, unjustified, or inappropriate inferences or conclusions.
• Statistical Significance -- the probability that the difference between the outcomes of the control and experimental group are great enough that it is unlikely due solely to chance. The probability that the null hypothesis can be rejected at a predetermined significance level [0.05 or 0.01].
• Statistical Tests -- researchers use statistical tests to make quantitative decisions about whether a study's data indicate a significant effect from the intervention and allow the researcher to reject the null hypothesis. That is, statistical tests show whether the differences between the outcomes of the control and experimental groups are great enough to be statistically significant. If differences are found to be statistically significant, it means that the probability [likelihood] that these differences occurred solely due to chance is relatively low. Most researchers agree that a significance value of .05 or less [i.e., there is a 95% probability that the differences are real] sufficiently determines significance.
• Subcultures -- ethnic, regional, economic, or social groups exhibiting characteristic patterns of behavior sufficient to distinguish them from the larger society to which they belong.
• Testing -- the act of gathering and processing information about individuals' ability, skill, understanding, or knowledge under controlled conditions.
• Theory -- a general explanation about a specific behavior or set of events that is based on known principles and serves to organize related events in a meaningful way. A theory is not as specific as a hypothesis.
• Treatment -- the stimulus given to a dependent variable.
• Trend Samples -- method of sampling different groups of people at different points in time from the same population.
• Triangulation -- a multi-method or pluralistic approach, using different methods in order to focus on the research topic from different viewpoints and to produce a multi-faceted set of data. Also used to check the validity of findings from any one method.
• Unit of Analysis -- the basic observable entity or phenomenon being analyzed by a study and for which data are collected in the form of variables.
• Validity -- the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure. A method can be reliable, consistently measuring the same thing, but not valid.
• Variable -- any characteristic or trait that can vary from one person to another [race, gender, academic major] or for one person over time [age, political beliefs].
• Weighted Scores -- scores in which the components are modified by different multipliers to reflect their relative importance.
• White Paper -- an authoritative report that often states the position or philosophy about a social, political, or other subject, or a general explanation of an architecture, framework, or product technology written by a group of researchers. A white paper seeks to contain unbiased information and analysis regarding a business or policy problem that the researchers may be facing.

Elliot, Mark, Fairweather, Ian, Olsen, Wendy Kay, and Pampaka, Maria. A Dictionary of Social Research Methods. Oxford, UK: Oxford University Press, 2016; Free Social Science Dictionary. Socialsciencedictionary.com [2008]. Glossary. Institutional Review Board. Colorado College; Glossary of Key Terms. Writing@CSU. Colorado State University; Glossary A-Z. Education.com; Glossary of Research Terms. Research Mindedness Virtual Learning Resource. Centre for Human Servive Technology. University of Southampton; Miller, Robert L. and Brewer, John D. The A-Z of Social Research: A Dictionary of Key Social Science Research Concepts London: SAGE, 2003; Jupp, Victor. The SAGE Dictionary of Social and Cultural Research Methods . London: Sage, 2006.

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

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

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

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

*The Caveat *

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

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

Overview: S tructuring a dissertation or thesis

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

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

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

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

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

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

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

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

Typically, a good title includes mention of the following:

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

For example:

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

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

Acknowledgements

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

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

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

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

Abstract or executive summary

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

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

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

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

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

Need a helping hand?

Table of contents

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Time to recap…

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

• Acknowledgments page

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

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

Psst… there’s more (for free)

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

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36 Comments

many thanks i found it very useful

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

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

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

Thanks so much this helped me a lot!

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

Thanks Ade!

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

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

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

best ever benefit i got on right time thank you

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

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

You have given immense clarity from start to end.

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

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

Thanks ! so concise and valuable

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

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

Really useful to me. Thanks a thousand times

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

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

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

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

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

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

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

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

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

wow this is an amazing gain in my life

This is so good

How can i arrange my specific objectives in my dissertation?

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How to Write a Glossary

Last Updated: January 5, 2024 Fact Checked

This article was co-authored by Alexander Peterman, MA . Alexander Peterman is a Private Tutor in Florida. He received his MA in Education from the University of Florida in 2017. There are 9 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 209,428 times.

A glossary is a list of terms that traditionally appears at the end of an academic paper, a thesis, a book, or an article. The glossary should contain definitions for terms in the main text that may be unfamiliar or unclear to the average reader. To write a glossary, you will first need to identify the terms in your main text that need to be in the glossary. Then, you can create definitions for these terms and make sure the formatting of the glossary is correct so it is polished and easy to read.

Identifying Terms for the Glossary

• For example, you may notice you have a technical term that describes a process, such as “ionization.” You may then feel the reader needs more clarification on the term in the glossary.
• You may also have a term that is mentioned in the main text, but not discussed in detail. You may then feel this term could go into the glossary so you can include more information for the reader.

• For example, you may ask your editor, “Would you mind helping me identify terms for the glossary?” or “Can you assist me in identifying any terms for the glossary that I may have missed?”

• You may tell the reader to look out for any terms they find unclear or unfamiliar in the main text. You may then get several readers to read the main text and note if the majority of readers chose the same terms for the glossary.
• Have multiple readers point out terms they find confusing so you don’t miss any words.

• The glossary terms should broad and useful to a reader, but not excessive. For example, you should have one to two pages of terms maximum for a five to six-page paper, unless there are many academic or technical terms that need to be explained further. Try not to have too many terms in the glossary, as it may not be useful if it covers too much.

Creating Definitions for the Glossary Terms

• You should always write the summary yourself. Do not copy and paste a definition for the term from another source. Copy and pasting an existing definition and claiming it as your own in the glossary can be considered plagiarism.
• If you do use content from another source in the definition, make sure you cite it properly.

• For example, you may write a summary for the term “rigging” as: “In this article, I use this term to discuss putting a rig on an oil drum. This term is often used on an oil rig by oil workers.”
• You may also include a “See [another term]” note if the definition refers to other terms listed in the glossary.
• For example, “In this article, I use this term to discuss putting a rig on an oil drum. This term is often used on an oil rig by oil workers. See OIL RIG .”

• If you only have a small number of abbreviations in the main text, you can define them in the main text.
• For example, you may have the abbreviation “RPG” in the text one or two times. You may then define it in the text on first use and then use the abbreviation moving forward in the text: “Role-playing game (RPG).”

Formatting the Glossary

• Make sure you order the terms by first letter and then by the second letter in the term. For example, in the “A” section of the glossary, “Apple” will appear before “Arrange,” as “p” appears before “r” in the alphabet. If a term has multiple words, use the first word in the phrase to determine where to put it in the glossary.

• You may also have sub-bullets within one glossary entry for a term if there are sub-concepts or ideas for one term. If this is the case, put a sub-bullet under the main bullet so the content is easy to read. For example:
• “My Little Pony RPG: A sub-group of role-playing games that focus on characters in the My Little Pony franchise.”

• For example, you may have the following entry in the glossary: “ Rigging : In this report, I use rigging to discuss the process of putting a rig on an oil drum.”
• Or you may format the entry as: “ Rigging - In this report, I use rigging to discuss the process of putting a rig on an oil drum.”

• If you have other additional content in the paper, such as a “List of Abbreviations,” the glossary will traditionally be placed after these lists as the last item in the paper.
• If you are creating a glossary for an academic paper, your teacher may indicate where they would prefer the glossary in the paper.
• If you are creating a glossary for a text for publication, ask your editor where they would prefer the glossary to fall in the text. You can also look at other texts that have been published and note where they place the glossary.

Glossary Template

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• ↑ https://owl.purdue.edu/owl/general_writing/common_writing_assignments/research_papers/identifying_audiences.html
• ↑ https://owl.purdue.edu/owl/general_writing/common_writing_assignments/definitions.html
• ↑ https://libguides.usc.edu/writingguide/researchglossary
• ↑ https://developer.mozilla.org/en-US/docs/MDN/Writing_guidelines/Howto/Write_a_new_entry_in_the_Glossary
• ↑ https://www.grammarly.com/blog/glossary/
• ↑ https://www.plainlanguage.gov/guidelines/words/minimize-abbreviations/
• ↑ https://www.unl.edu/writing/glossary
• ↑ https://apastyle.apa.org/style-grammar-guidelines/italics-quotations
• ↑ https://gradschool.unc.edu/academics/thesis-diss/guide/ordercomponents.html

About This Article

To write a glossary, start by making a list of terms you used in your text that your audience might not be familiar with. Next, write a 2 to 4 sentence summary for each term, using simple words and avoiding overly technical language. Then, put the terms in alphabetical order so they are easy for the reader to find, and separate each one with either a space or with bullet points. Finally, place the glossary before or after the text and make sure to include it in the table of contents so it’s easy to find. For tips from our Education reviewer on how to decide which terms should go in your glossary, read on! Did this summary help you? Yes No

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Frequently asked questions

What is the definition of a glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Frequently asked questions: Dissertation

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Results are usually written in the past tense , because they are describing the outcome of completed actions.

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

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

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

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

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

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

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

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

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

• Your instructor requires one, or
• Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

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Please note that the shorter your deadline is, the lower the chance that your previous editor is not available.

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Every Scribbr order comes with our award-winning Proofreading & Editing service , which combines two important stages of the revision process.

For a more comprehensive edit, you can add a Structure Check or Clarity Check to your order. With these building blocks, you can customize the kind of feedback you receive.

You might be familiar with a different set of editing terms. To help you understand what you can expect at Scribbr, we created this table:

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When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

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The editor has made changes to your document using ‘Track Changes’ in Word. This means that you only have to accept or ignore the changes that are made in the text one by one.

It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:

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Glossary Of A Dissertation – Definition & Guide

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A dissertation is more than just a piece of narrative prose that guides readers through your research: It’s a sum of many distinct components that all make a vital contribution toward providing a complete contextual picture of the work that you have done. In this article, we will delve into the importance of a glossary, its role, and its structure in enhancing comprehension and effective communication in academic writing .

Inhaltsverzeichnis

• 1 Glossary – In a Nutshell
• 2 Definition: Glossary
• 3 Citing sources for a glossary
• 4 5 tips for writing an effective glossary
• 5 Other lists aside from the glossary
• 6 Example of a glossary

Glossary – In a Nutshell

There is more nuance involved with producing a glossary than one might expect. To aid with this, this article shows:

• How to construct helpful definitions for your readers and explain the benefits of the glossary
• Other types of lists that might be useful when writing your dissertation.
• Some of the most frequent questions, to really round out your understanding.

Definition: Glossary

Put simply, a glossary is a list of non-standard (i.e., technical or subject-specific) terms that you have used in your writing. They will be accompanied by an explanatory definition to add clarity for your readers, whilst also broadening your potential audience by reducing the barriers to entry that such language can often pose.

Take a look at the two examples below to see what we mean:

• Bedrock: The layer of solid rock found underneath looser layers of gravel, soil, etc.
• Phoneme : The individual sounds in a language that distinguish different words from one another

Citing sources for a glossary

Generally speaking, you do not need to provide citations for your glossary entries, as definitions are considered to be a part of our shared “ common knowledge “.

You may find, however, that you reference the definition in-text to provide a more explicit elaboration of a given point.

• Merriam-Webster. (2003). Litmus test. In Merriam-Webster’s collegiate dictionary (11th ed., p. 727).

5 tips for writing an effective glossary

The following delves into 5 helpful tips to write a dissertation glossary:

Meet your audience’s needs

As briefly alluded to, the content of the glossary should be shaped by your audience’s familiarity with the subject area.

Whilst you don’t want to under-explain the terms used in your dissertation, you should also be mindful of spending time and space explaining things that your readers require no clarification on.

Use plain language

K.I.S.S. Keep it simple, stupid!

Glossary entries should not include terms that also warrant defining. You don’t want to trap your readers in an infinite definition loop!

Don’t use the word in the definition

A glossary definition is useless if somebody needs to already know the word’s meaning to understand it.

Refer back to the point above, again and again!

Provide pronunciation tips

Explaining how the word is pronounced (whether through basic transcription or use of the IPA symbols) vastly increases the readability of your text.

This, in turn, helps your readers strengthen their understanding of the terms you’ve used.

Include synonyms, antonyms & examples

All of these can build out that invaluable context that helps your readers grasp what is often a very specific meaning.

Don’t be afraid to lean on the synonym posts on BachelorPrint for help here!

Other lists aside from the glossary

At the outset, we referenced a number of component parts that make up the dissertation and will go a little more in-depth on a couple of those here.

One list you will almost certainly want to include is the index, which breaks down key topics/themes/terms in your paper by the page(s) they appear on, allowing more casual readers to quickly identify the most relevant sections for their perusal.

Another would be the list of tables, figures, and illustrations used throughout your dissertation (if applicable). This is yet another way of making your paper into a more holistic piece of work that is more accessible to a wider audience.

Example of a glossary

Below is an example of how a glossary of a dissertation may look like.

What is a glossary?

The term refers to a reference list of words that readers may not be familiar with.

It is derived from the Latin gloss, which means “word inserted as an explanation, translation, or definition”.

Where does a glossary go?

It will typically be included at the end as an appendix to the main body text, before the list of works cited.

Is a glossary mandatory?

No, but it’s certainly recommended if you’re using complex terminology.

If you find yourself drawing upon only a few such terms, you may prefer to include the definitions as footnotes instead, assuming that your style guide allows them.

What should I include in a glossary?

There’s no hard and fast ruling here: the decision should be guided for the most part by your intended audience and how much knowledge of the subject-specific language they may or may not have.

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What Is a Glossary?

• An Introduction to Punctuation
• Ph.D., Rhetoric and English, University of Georgia
• M.A., Modern English and American Literature, University of Leicester
• B.A., English, State University of New York

A glossary is an alphabetized list of specialized terms with their definitions . In a report , proposal , or book, the glossary is generally located after the conclusion . A glossary is also known as a "clavis ," which is from the Latin word for "key." "A good glossary," says William Horton, in "e-Learning by Design," "can define terms, spell out abbreviations , and save us the embarrassment of mispronouncing the shibboleths of our chosen professions."

Importance of a Glossary

"Because you will have numerous readers with multiple levels of expertise, you must be concerned about your use of high-tech language (abbreviations, acronyms , and terms). Although some of your readers will understand your terminology, others won't. However, if you define your terms each time you use them, two problems will occur: you will insult high-tech readers, and you will delay your audience as they read your text. To avoid these pitfalls, use a glossary."

(Sharon Gerson and Steven Gerson, "Technical Writing: Process and Product." Pearson, 2006)

Locating a Glossary in a Class Paper, Thesis, or Dissertation

"You may need a glossary if your thesis or dissertation (or, in some cases, your class paper) includes many foreign words or technical terms and phrases that may be unfamiliar to your readers. Some departments and universities allow or require the glossary to be placed in the back matter, after any appendixes and before the endnotes and bibliography or reference list. If you are free to choose, put it in the front matter if readers must know the definitions before they begin reading. Otherwise, put it in the back matter."

– Kate L. Turabian, "A Manual for Writers of Research Papers, Theses, and Dissertations, 7th ed." The University of Chicago Press, 2007

• "Define all terms unfamiliar to an intelligent layperson. When in doubt, overdefining is safer than underdefining.
• Define all terms that have a special meaning in your report ('In this report, a small business is defined as . . .').
• Define all terms by giving their class and distinguishing features, unless some terms need expanded definitions.
• List all terms in alphabetical order. Highlight each term and use a colon to separate it from its definition.
• On first use, place an asterisk in the text by each item defined in the glossary.
• List your glossary and its first page number in the table of contents."

– Tosin Ekundayo, "Thesis Book of Tips and Samples: Under & Post Graduate Guide 9 Thesis Format including APA & Harvard." Notion Press, 2019

Suggestions for Preparing a Glossary

"Use a glossary if your report contains more than five or six technical terms that may not be understood by all audience members. If fewer than five terms need defining, place them in the report introduction as working definitions, or use footnote definitions. If you use a separate glossary, announce its location."

– John M. Lannon, "Technical Communication." Pearson, 2006

Collaborative Glossaries in the Classroom

"Instead of creating a glossary on your own, why not have the students create it as they encounter unfamiliar terms? A collaborative glossary can serve as a focal point for collaboration in a course. Each member of the class could be assigned to contribute a term, a definition, or comments on submitted definitions. Multiple definitions can be rated by you and by the students, with the highest-rated definitions accepted for the final class glossary...When students are responsible for creating the definitions, they are much more likely to remember the word and the correct definition."

– Jason Cole and Helen Foster, "Using Moodle: Teaching With the Popular Open Source Course Management System, 2nd ed." O'Reilly Media, 2008

• What Are Endnotes, Why Are They Needed, and How Are They Used?
• How to Write an Abstract
• Definition of Appendix in a Book or Written Work
• Navigate Readings With Text Features
• Understanding Organization in Composition and Speech
• Margin (Composition Format) Definition
• Propositions in Debate Definition and Examples
• Definition and Examples of Body Paragraphs in Composition
• Definition and Examples of Analysis in Composition
• Thesis: Definition and Examples in Composition
• A Glossary of Zoology Terms
• What Is Tone In Writing?
• Supporting Detail in Composition and Speech
• Development in Composition: Building an Essay
• Definition and Examples of Direct Quotations

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• Dissertation Table of Contents in Word | Instructions & Examples

Dissertation Table of Contents in Word | Instructions & Examples

Published on May 15, 2022 by Tegan George . Revised on July 18, 2023.

The table of contents is where you list the chapters and major sections of your thesis, dissertation , or research paper, alongside their page numbers. A clear and well-formatted table of contents is essential, as it demonstrates to your reader that a quality paper will follow.

The table of contents (TOC) should be placed between the abstract and the introduction . The maximum length should be two pages. Depending on the nature of your thesis , paper, or dissertation topic , there are a few formatting options you can choose from.

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Table of contents

What to include in your table of contents, what not to include in your table of contents, creating a table of contents in microsoft word, table of contents examples, updating a table of contents in microsoft word, other lists in your thesis, dissertation, or research paper, other interesting articles, frequently asked questions about the table of contents.

Depending on the length of your document, you can choose between a single-level, subdivided, or multi-level table of contents.

• A single-level table of contents only includes “level 1” headings , or chapters. This is the simplest option, but it may be too broad for a long document like a dissertation.
• A subdivided table of contents includes chapters as well as “level 2” headings, or sections. These show your reader what each chapter contains.
• A multi-level table of contents also further divides sections into “level 3” headings. This option can get messy quickly, so proceed with caution. Remember your table of contents should not be longer than 2 pages. A multi-level table is often a good choice for a shorter document like a research paper .

Examples of level 1 headings are Introduction, Literature Review , Methodology , and Bibliography. Subsections of each of these would be level 2 headings, further describing the contents of each chapter or large section. Any further subsections would be level 3.

In these introductory sections, less is often more. As you decide which sections to include, narrow it down to only the most essential.

Including appendices and tables

You should include all appendices in your table of contents. Whether or not you include tables and figures depends largely on how many there are in your document.

If there are more than three figures and tables, you might consider listing them on a separate page. Otherwise, you can include each one in the table of contents.

• Theses and dissertations often have a separate list of figures and tables.
• Research papers generally don’t have a separate list of figures and tables.

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All level 1 and level 2 headings should be included in your table of contents, with level 3 headings used very sparingly.

The following things should never be included in a table of contents:

• Your acknowledgements page
• Your abstract
• The table of contents itself

The acknowledgements and abstract always precede the table of contents, so there’s no need to include them. This goes for any sections that precede the table of contents.

To automatically insert a table of contents in Microsoft Word, be sure to first apply the correct heading styles throughout the document, as shown below.

• Choose which headings are heading 1 and which are heading 2 (or 3)!
• For example, if all level 1 headings should be Times New Roman, 12-point font, and bold, add this formatting to the first level 1 heading.
• Highlight the level 1 heading.
• Right-click the style that says “Heading 1.”
• Select “Update Heading 1 to Match Selection.”
• Allocate the formatting for each heading throughout your document by highlighting the heading in question and clicking the style you wish to apply.

Once that’s all set, follow these steps:

• Add a title to your table of contents. Be sure to check if your citation style or university has guidelines for this.
• Place your cursor where you would like your table of contents to go.
• In the “References” section at the top, locate the Table of Contents group.
• Here, you can select which levels of headings you would like to include. You can also make manual adjustments to each level by clicking the Modify button.
• When you are ready to insert the table of contents, click “OK” and it will be automatically generated, as shown below.

The key features of a table of contents are:

• Clear headings and subheadings
• Corresponding page numbers

Check with your educational institution to see if they have any specific formatting or design requirements.

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Write yourself a reminder to update your table of contents as one of your final tasks before submitting your dissertation or paper. It’s normal for your text to shift a bit as you input your final edits, and it’s crucial that your page numbers correspond correctly.

It’s easy to update your page numbers automatically in Microsoft Word. Simply right-click the table of contents and select “Update Field.” You can choose either to update page numbers only or to update all information in your table of contents.

In addition to a table of contents, you might also want to include a list of figures and tables, a list of abbreviations, and a glossary in your thesis or dissertation. You can use the following guides to do so:

• List of figures and tables
• List of abbreviations

It is less common to include these lists in a research paper.

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All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

• Apply heading styles throughout the document.
• In the references section in the ribbon, locate the Table of Contents group.
• Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
• Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction .

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George, T. (2023, July 18). Dissertation Table of Contents in Word | Instructions & Examples. Scribbr. Retrieved March 29, 2024, from https://www.scribbr.com/dissertation/table-of-contents/

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Academic Writing Glossary

Have you encountered a term in your module guide or assessment criteria that you're not familiar with? This glossary includes definitions on the words and phrases associated with academic writing and studying at university:

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