The empirical section of a thesis is the chapter where you show your own work: you analyse data, run measurements, design a solution or interpret your findings. Depending on the field it may be called the analytical, practical or results section, and it forms the core of the whole thesis, because this is where the aim set out in the introduction is actually tested. Its shape changes with the type of study (quantitative, qualitative, project-based), but it must always follow logically from the theoretical part and the methodology. In this article we walk through how to structure it, how to process and present data, and the mistakes students make most often.
What the empirical section is and what it is for
The empirical section is where theory meets reality. While the theoretical part gathers and sorts existing knowledge, the empirical section delivers your own contribution: a specific analysis, study, calculation or design. It is the part your examiners use most when judging whether you can work with a problem independently, rather than simply retelling what others have written.
The label varies by discipline and departmental tradition. In the social sciences people usually speak of the empirical or research section, in economics and engineering of the analytical or practical section, and in applied work of the design or project section. The principle is the same: show your own work, not borrowed knowledge.
The purpose of the empirical section comes down to three points:
- Fulfil the aim of the thesis. The aim stated in the introduction (to analyse, compare, design, verify) is genuinely delivered here.
- Answer the research questions or test the hypotheses. Every question from the introduction has its place in the empirical section.
- Demonstrate your own contribution. This is the criterion that separates a thesis from a report or a compilation.
How to connect the empirical section to theory and methodology
The empirical section never stands alone. It is the third link in a chain that begins with theory and continues with methodology. If that chain breaks anywhere, the thesis feels disjointed and examiners spot it at once.
The link to theory works through concepts and models. Every concept you defined in the theoretical part should actually be used in the empirical section. If you discussed a model or framework in detail in the theory, apply it to your data in the analysis. If a concept never appears in practice, either remove it from the theory or explain why you mention it. We look at the links between chapters in more depth in the article on how to structure a thesis.
The link to methodology works through procedure. The methodology chapter describes how you will collect and process data; the empirical section carries that procedure out. If your methodology says you will use a questionnaire and a particular analytical method, the empirical section must show exactly that questionnaire and that method in action. A mismatch between the promised and the applied method is one of the most common objections from examiners. How to describe and justify your methods is covered in the article on research methodology in your thesis.
A useful final check: read the research questions from your introduction and try to point to the exact place in the empirical section where each one is addressed. If you cannot do that for one of them, you have a structural problem.
How to structure the empirical section
A good empirical section has an internal logic that traces the path from question to answer. The most reliable skeleton runs in this order:
- A brief introduction to the chapter. A few sentences that recall the aim and signal what the chapter will deliver.
- A profile of the object of study or the setting examined. Who or what is being analysed: a company, a sample of respondents, a dataset, a case.
- A description of how data collection went. When and how the collection took place, how much data you obtained, what the response rate was.
- Your own analysis, organised around the research questions. The core of the chapter, where each subsection addresses one question or thematic block.
- A partial summary of the findings. A short recap before moving into the discussion.
The strongest organising principle is to arrange the subsections around the research questions from your introduction. If you posed three questions, it is natural for the empirical section to have three main blocks, each addressing one question. The reader can then easily follow how the thesis moves toward its aim.
Avoid the opposite approach, where the chapter is organised by the tools you used or by the order in which you happened to run each analysis. The logic of the research questions is clearer to the reader than the order in which the work was done.
Collecting and processing data
Data collection is the step that produces the material for the entire analysis. Even though you described the procedure itself in the methodology, the empirical section should document how it actually went, because reality almost always differs a little from the plan. If you are gathering data yourself, the Purdue OWL guide to conducting primary research explains the main methods (interviews, surveys, observations and analysis) and when each fits.
In the empirical section, state:
- The real volume of data obtained. How many questionnaires came back, how many interviews took place, how large the final dataset is after cleaning.
- How you cleaned and prepared the data. Which incomplete or faulty records you removed and why. This step builds credibility, because it shows you handle data honestly.
- The tool used for processing. A spreadsheet, statistical software, a coding framework for qualitative data. Keep it brief; the details belong in the methodology.
When processing data, one simple rule applies: never report a number you cannot back up. Every value in a table must originate in the data you collected. Invented or "polished" numbers are not only an ethical breach but also an easily exposed error, the moment an examiner asks for the raw data in the appendices.
How to present results: tables, charts and their captions
Results in the empirical section are presented through a combination of three elements: text, a visual (a table or chart) and a caption. None of them stands alone.
A table or chart should never speak for itself. Always introduce it with a sentence in the text that points the reader to what matters, and below or after the visual explain what follows from it. The sequence is therefore: announcement in the text, the visual itself with a number and title, interpretation.
A few practical rules for visuals:
- Every table and every chart has a number and a title. For example, "Table 3: Distribution of respondents by age". You then refer to that number from the text. The APA Style guidance on tables and figures sets out how to number, title and format them consistently.
- Choose the right type of visual. A table suits precise values, a chart suits a trend or comparison. A pie chart makes sense for shares of a whole, a bar chart for comparing categories.
- Do not overwhelm the reader. Only the key visuals belong in the main text. Move large tables of raw data to the appendices.
- A caption explains, it does not repeat. The line under a table should not read "the table shows numbers" but offer interpretation: what the highest value is, where the surprise lies, how it relates to the question.
It is important to separate the presentation of results from their evaluation. In the empirical section you describe what the data show. You leave the deeper interpretation, the comparison with theory and the explanation of causes to the discussion. This split mirrors the IMRAD structure, and the UNC Writing Center guide to scientific reports describes how the results section reports facts while the discussion evaluates them.
How the empirical section differs by type of thesis
There is no single universal empirical section. Its shape changes markedly depending on the research approach the thesis takes. The table below summarises the main differences.
| Aspect | Quantitative thesis | Qualitative thesis | Project (applied) thesis |
|---|---|---|---|
| Aim of the section | test hypotheses on numerical data | understand a phenomenon in depth | design and verify a solution |
| Typical data | questionnaires, measurements, statistics | interviews, observations, documents | requirements, prototype, calculations |
| Method of processing | statistical analysis | coding, thematic analysis | design, modelling, testing |
| Presentation of results | tables, charts, numerical indicators | respondent quotes, categories, diagrams | diagrams, drawings, demonstrations of the solution |
| Emphasis | representativeness and measurability | depth and context | functionality and usability |
In a quantitative thesis the empirical section is built on numbers. You work with a larger sample, present results through tables and charts, and test hypotheses with your chosen method. The emphasis is on findings being measurable and on the sample being large enough to generalise.
In a qualitative thesis the core is depth, not count. You work with a smaller number of respondents or cases but go into detail. You often present results through categories, themes and verbatim respondent quotes that illustrate the findings. The key is to show how you reached your conclusions from the data.
In a project or applied thesis the empirical section is the design of a concrete solution: software, a prototype, a business plan, a technical proposal. The design is usually followed by verification of whether the solution works and meets the requirements. The emphasis is on usability and on the design solving a real problem named in the introduction.
What belongs in the appendices
The appendices are the place for material that matters for verifying the results but would disrupt the flow of reading in the main text. They allow a curious reader or examiner to check how you arrived at the results.
The appendices typically hold:
- raw or large datasets that do not fit in the main text
- the complete questionnaire or interview guide
- interview transcripts
- large tables and supplementary charts
- drawings, diagrams, code, technical documentation
One simple rule of cross-referencing applies: you must refer to every appendix at least once from the text. Appendices you never reference in the thesis look like forgotten files and weaken the overall impression. Label each appendix (Appendix A, Appendix B) and refer to it in the text where it is relevant.
At the same time, the appendices are not a dumping ground. They are no place for material unrelated to verifying the results, added only to make the thesis look bulkier.
How to show that the empirical section is authentic and your own
Authenticity is the quality examiners watch most closely in the empirical section, because this is where your own contribution is expected. You can demonstrate it in several ways that also raise the quality of the work.
Document the path from data to conclusions. When the real procedure is visible, with numbers in tables, raw data in the appendices and a clear analytical logic, it is obvious the work came from genuine effort, not from rewriting. A transparent procedure is the strongest proof of authenticity.
Work with specific data of your own. Your own questionnaire, your own interviews, your own analysis of a particular company or case are things that cannot be copied from anywhere. The more specific your material, the more original the thesis.
Cite others and separate it from your own. Even in the empirical section you can draw on outside sources, but it must always be clear what is borrowed and what is yours. Correct citation in your chosen style (commonly Harvard, APA or MLA) protects you from unintentional plagiarism.
Expect an originality check. Most universities run every thesis through an originality check, typically using software such as Turnitin. That is exactly why borrowing someone else's text does not pay off. An empirical section built on your own data is naturally resistant to such a check.
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Common mistakes in the empirical section
The empirical section is only description, not analysis. The most common mistake. The author describes what they found but does not analyse it: there is no interpretation, no comparison, no search for connections. Description is only the first step; the substance lies in the analysis.
No link to theory. The empirical section lives a life of its own and uses none of the concepts or models introduced in the theory. It reads as if these were two unrelated pieces of work.
Results without interpretation. Tables and charts are dropped into the text with no explanation. The reader sees numbers but does not know what they mean.
Mixing results and discussion. The author explains causes and compares with the literature right beside every figure. It is better to separate the presentation of results from their evaluation so the chapter stays clear.
The sample or data are too weak for the aim. The aim promises generalisation, but the sample is too small or unrepresentative. The fix is either to strengthen the data or to scale back the ambition of the aim and name the limitations honestly.
Appendices without references. Raw data and questionnaires sit in the appendices, but the text never refers to them, so no one connects them with the analysis.
Frequently asked questions
What is the difference between the practical, analytical and empirical sections?
These are essentially the same part of the thesis under different names. The label depends on the field and the customs of the department. "Empirical" is used when there is original research with data, "analytical" for examining existing data or a case, and "practical" as the most general term. Always go by the label used in your department's guidelines.
How long should the empirical section be?
There is no universal required length; it varies by institution, field and type of thesis. In general it should be in reasonable balance with the theoretical part, neither greatly exceeding it nor falling far short. You will find the precise recommendation in your department's guidelines, which take precedence over advice from the internet.
Should results and discussion be in the empirical section or separate?
It depends on the conventions of the field. Some theses merge results and discussion into one chapter, others keep them apart. Functionally, though, they differ: results describe what you found, the discussion explains what it means and how it relates to theory. Even when combined, both elements should remain recognisable.
What should I do if the results do not confirm the hypothesis?
This is completely normal and not a mistake. Research both confirms and refutes hypotheses. An unconfirmed hypothesis is an equally valid result if you interpret it honestly. The error would be to dress up the data so they fit the hypothesis. Examiners value honest interpretation more than a forced "success".
Do I have to cite sources in the empirical section?
Yes, whenever you draw on outside knowledge, data or methods. You cite less often in the empirical section than in the theory, but the rule still holds: borrowed material must be set apart from your own. Cite in the style your institution requires (commonly Harvard, APA or MLA).
How can I point out the limitations of the empirical section without damaging the thesis?
Naming limitations openly does not weaken the thesis; it strengthens its credibility. A small sample, time constraints or data availability are legitimate limitations that every study has. The key is to name them factually and show you are aware of them, and where possible suggest how future research might overcome them.
The empirical section is where the value of the whole thesis is decided. This is where the aim from the introduction is fulfilled, the research questions are answered and your own contribution is proven. If you link it logically to the theory and methodology, process the data honestly and present the results clearly, the resulting chapter will be more than a formal requirement: it will be the genuine core that holds the thesis together.