What Is an Abstract in a Thesis? How to Write One Correctly

Graduation thesis··12 min read

What Is an Abstract in a Thesis?

An abstract is a brief summary of the entire study. It usually appears near the beginning of the thesis, after the cover page, declaration, or acknowledgements, depending on your university's requirements. Readers use the abstract to see what problem you studied, which method you used, what data you collected, what you found, and why the findings matter.

You can treat the abstract as a map of your thesis. It does not replace the introduction, theoretical framework, or results chapter, but it must accurately reflect those sections. A clear abstract lets your supervisor or committee understand the study quickly, without reading the dozens of pages that follow.

For a quantitative thesis, the abstract must be based on research you have actually conducted. Write the final version after you have analysed your data in SPSS, SmartPLS, or the software you use. You can prepare a draft at the proposal stage, but update the numbers, hypotheses, and conclusions after the data have been processed.

An abstract is usually shorter than a Vietnamese summary or a general overview of the topic. Some universities also require Keywords below the abstract. Check your department's formatting guide for the word limit, font, margins, and position of the abstract. You can also consult the abstract page before finalising the formatting.

Standard Abstract Structure

You can write an abstract as one paragraph or divide it into shorter paragraphs, depending on your university's template. In terms of content, follow this order: context and objective, method, main results, and conclusion or implications. This sequence takes the reader from the research question to the answer without making them search for missing information.

The table below gives you a practical framework for your first draft. The sentence and word counts are only guidelines. If your department sets a specific limit, follow that requirement.

ComponentWhat to writeSuggested lengthSelf-check question
Context and problemState the field, problem, or gap that the study addresses1 to 2 sentencesWhy does this study need to be conducted?
ObjectiveState the main objective, population, or relationship being tested1 sentenceWhich question does the study aim to answer?
MethodState the quantitative design, sample, data collection instrument, and analysis techniques2 to 3 sentencesHow were the data collected and analysed?
ResultsState the important findings, possibly including the number of supported variables or relationships2 to 4 sentencesWhat are the main results?
Conclusion and implicationsSummarise what the results mean for theory or practice1 to 2 sentencesWhat should the reader take away?
KeywordsSelect the central concepts in the study3 to 5 keywordsWhich terms would someone use to find this study?

The method section does not need to describe the entire data-analysis process. You do not need to include SPSS menus, every item removed, or every test table in the abstract. Keep the information that helps the reader assess the study, such as the sample size, participant group, sampling method, and main analysis technique.

The results section also needs the right level of detail. If your model contains five hypotheses, you do not need to copy all five result rows into the abstract. State the number of supported relationships, the variables with the strongest effects, or the result that directly answers the research objective. Avoid writing that all factors have a positive effect when one variable in your results table is statistically non-significant.

Steps for Writing an Abstract

Step 1: Confirm the Objective and Research Question

Open the objective section of your thesis and reduce it to one or two sentences. Keep the population, context, and research variables accurate. If your topic concerns the factors affecting university students' intention to use e-wallets in Ho Chi Minh City, the abstract should retain the population, behaviour, and location. A vague statement about digital transformation is not enough.

Use specific verbs such as “assess,” “test,” “identify,” or “analyse.” Do not include an objective that your results do not test. If you only ran a regression model, do not claim that the study comprehensively explores every cause of the phenomenon.

Step 2: Record the Method from the Real Data

Open your data file and methods chapter. Record the exact number of valid responses, the survey group, the collection period if your university requires it, and the analysis techniques you actually used. For quantitative research, this information often includes a questionnaire survey, a Likert scale, the valid sample size, Cronbach's Alpha, EFA, linear regression, or PLS-SEM.

The sample size in the abstract must match the results chapter. If you received 320 responses but had only 287 observations after cleaning, check whether your department wants the number of returned questionnaires or the number of observations used for analysis. You can report both numbers, but explain what each one means.

Step 3: Select the Important Results

Do not copy an SPSS table into the abstract. Make a separate list containing the objective, supported hypotheses, influential variables, R², or fit index if that is central to the study. Then select the findings that directly answer the research question.

You can use the checklist below. The numbers are illustrative output to show how to condense results, not the results of a specific study.

Check itemContent in the draftIllustrative status
Valid sample287 observations from students who had used e-walletsRecorded
Scale reliabilityThe scales had Cronbach's Alpha values from 0,742 to 0,891Check against output
ModelFive independent variables were entered into the regressionRecorded
Main resultsFour hypotheses were supported, while one hypothesis was not supportedCheck against p-value
Explanatory powerAdjusted R² was 0,486Check against Model Summary
ImplicationsFocus on convenience and trust when designing the serviceCheck against conclusion

The table above is illustrative output, not a result you can copy into your thesis. Replace each cell with the values from your real output. If you are reading Model Summary, Coefficients, or Reliability Statistics in SPSS, record the table name and values in a notes file. This helps you avoid using results from an earlier run.

Step 4: Draft in a Logical Order

Write the problem and objective first, followed by the method, results, and conclusion. Do not begin with a long history of the industry. An abstract does not have room for the kind of introduction used in Chapter 1. The context only needs to help the reader understand what the study addresses.

In the first draft, write about 20 to 30 percent more than the word limit. Then cut adjectives, repeated explanations, and details that do not answer the objective. This is safer than trying to write a very short abstract immediately and leaving out a key result.

Step 5: Compare the Abstract with the Entire Thesis

Read the abstract alongside the table of contents, objectives, methods, results chapter, and conclusion. Check the locations, sample size, variable names, method, and number of hypotheses. A common error is an abstract that says the study has six factors while the analysed model contains only five because one scale was removed.

Also search for absolute words such as “prove,” “completely,” “all,” or “certainly.” Quantitative research usually provides evidence from one sample and one context. More careful wording includes “the results show,” “there is a statistically significant relationship,” or “within the survey sample.”

Usable Sentence Templates

You can use the sentences below as a framework and replace the text in square brackets with information from your study. The templates support your wording, but they do not replace checking the actual results.

PositionAdjustable sentence template
Context“This study examines [problem] in the context of [research population or location].”
Objective“The objective of this study is to determine the effects of [independent variables] on [dependent variable].”
Method“This study uses a quantitative approach with data collected from [number] [participants] through a questionnaire.”
Analysis“The data were analysed using [SPSS or SmartPLS], including [main analysis techniques].”
Results“The results show that [number] hypotheses were supported, with [variable] having a notable effect on [dependent variable].”
Conclusion“The findings provide a basis for [business or organisation] to prioritise [specific managerial implication] in [context].”
Limitation“This study was conducted within [location and survey sample], so the generalisability of the findings should be considered in other contexts.”

How to write this in your thesis: “This study aims to determine the effects of [independent factors] on [dependent variable] in the context of [population and location]. Data were collected from [number] valid observations and analysed using [software and techniques]. The results show [main findings]. Based on these findings, the study proposes [main implication] for [target group].” Replace every bracketed section with information that matches your results chapter.

When writing the English version, preserve the meaning and structure of the Vietnamese version, but check the technical terminology. Do not translate the English abstract word for word with an automatic tool and paste it into the thesis. Terms such as “intention to use,” “perceived value,” “purchase behaviour,” and the names of models must be consistent with the theoretical framework.

If the abstract contains citations, check your department's specific requirements. Many abstract templates do not use citations because the section focuses on your own study. Your reference list must follow one consistent format. You can consult how to write references and how to cite references when needed.

A Short Abstract Example

The following example illustrates a quantitative study. The variable names, sample size, and results were created to demonstrate the writing pattern. They are not the results of a published study.

“ This study aims to identify the factors affecting university students' intention to continue using e-wallets in Ho Chi Minh City. The study uses a quantitative approach with data collected from 287 students through an online questionnaire. The data were processed in SPSS using scale reliability testing, exploratory factor analysis, and multiple linear regression. The illustrative results show that convenience, trust, social influence, and perceived benefits have statistically significant relationships with intention to continue using e-wallets, while cost does not show a clear effect in the survey sample. The model explains 48,6% of the variation in intention to continue using e-wallets. Based on these findings, e-wallet providers should focus on improving ease of use, security, and communication about service benefits. ”

The example contains the objective, method, results, and implications in one short paragraph. When you replace it with your own data, remove the word “illustrative” and use results that have been checked. If your study does not include managerial implications, end with the academic significance or the scope in which the findings can be applied.

The abstract does not need to repeat the full title of the study in every sentence. Put the title in its own heading, then use “this study” in the text. Choose keywords that appear frequently in your model, such as “intention to use,” “e-wallet,” “students,” “convenience,” and “trust.”

Common Errors That Make the Committee Ask Follow-up Questions

The first error is a mismatch between the abstract and the final results. The committee may immediately ask why the abstract reports 300 questionnaires while Chapter 4 analyses only 287 observations, or why the abstract says that every hypothesis was accepted when the Coefficients table contains a p-value above the selected level.

The second error is writing the abstract like an advertisement. Statements such as “this topic has extremely great significance for society” do not tell the reader what you did. Replace them with the objective, sample, method, and specific findings.

The third error is putting too much theoretical background in the summary. The abstract is not a shortened version of Chapter 2. Mention the model or research variables only when they help the reader understand the objective and results.

The fourth error is making a conclusion that goes beyond the data. A survey at one university cannot establish that the findings apply to all university students in Vietnam. Limit the conclusion to the sample, location, and data-collection period.

The final error is ignoring your university's formatting requirements. The word limit, keywords, title format, language, and position of the abstract can differ across departments. In addition to the abstract, check related sections such as what is an appendix and essay table of contents so that your submission file contains every required component.

Read also: how to write references, how to cite references, abstract, what is an appendix, essay table of contents, undergraduate thesis topics.

Frequently asked questions

Is an abstract the same as a thesis summary?

An abstract is a short summary of the thesis, but it follows its own length and structure requirements. It focuses on the objective, method, results, and conclusion rather than summarising every chapter in sequence.

How many words should a thesis abstract contain?

There is no single length that applies to every university. Check your department's latest thesis guide or template. If no requirement is available, include the four main elements and remove repetition instead of trying to reach an arbitrary number.

Should I include numbers in the abstract?

Include numbers that help the reader understand the study, such as the number of valid observations, the model's explained variance, or the number of supported hypotheses. You do not need to include every output index. Each number must match the results table in your thesis.

Can I write the abstract before running SPSS?

You can write a draft before the analysis to establish the structure, but complete the final version after analysing the data. Before finalising it, compare the sample size, variables, hypotheses, and results with your .sav, .csv, or saved output file.

Do the Vietnamese and English abstracts need to be identical?

The two versions must communicate the same objective, method, results, and conclusion. The wording can differ to fit English grammar and terminology. The sample size, number of hypotheses, and main findings must not differ between the two versions.

Should I include study limitations in the abstract?

If the word limit allows it and your university's template requires it, you can add one short sentence about the sample or research context. When the abstract is very short, prioritise the objective, method, and results, then consider the limitations.

Open your thesis file, take the exact sample size and findings from the results chapter, and enter them into the abstract framework above. If you need help running the analysis on .sav or .csv data and checking the output before writing, use M4 analysis by DoThesis.