The Results chapter is a central component of a PhD thesis because it presents the evidence generated through the research and demonstrates how the findings address the study’s objectives and research questions. An ideal Results chapter does more than report numerical values or describe observations. It organises the evidence systematically, makes the analytical process transparent and enables readers to assess how the findings relate to the research design.
The presentation of results should be guided by the research questions, the nature of the data and the analytical methods used. Quantitative studies may require descriptive statistics, inferential tests, model estimates and diagnostic information, whereas qualitative studies may present themes, categories, patterns and supporting extracts. Mixed-methods research requires a coherent presentation of both forms of evidence and, where appropriate, their integration.
Although the Results chapter is closely connected to the Discussion chapter, the two serve different purposes. Results establish what the analysis shows; Discussion examines how those findings should be understood in relation to previous research, theory and the wider research problem. Maintaining this distinction helps ensure that the chapter remains evidence-led and methodologically transparent.
Establish the Structure
The chapter structure should reflect the research design and the sequence of the research questions or objectives. A logical arrangement allows readers to follow the progression from the study sample or dataset to the principal findings.
In many theses, the chapter begins with a brief introduction outlining its organisation. This is followed by relevant information about the dataset, participants or research material, where such information has not already been fully reported in the Methodology chapter. The main findings are then presented in sections aligned with the research questions, objectives, hypotheses or analytical stages.
A possible structure of the Results chapter is:
- Introduction: State the purpose and organisation of the chapter.
- Data and sample overview: Present relevant characteristics of the dataset or participants.
- Preliminary analysis: Report data screening, descriptive findings or preliminary analytical procedures, where relevant.
- Main findings: Organise the results around the research questions, objectives, hypotheses or themes.
- Additional analyses: Present secondary, robustness or supplementary findings where these contribute to the study.
- Chapter summary: Recapitulate the principal findings without introducing new interpretation.
This structure is a flexible framework and not a universal template. Experimental, clinical, humanities, engineering and qualitative theses may require different arrangements. The governing principle is that the structure should make the evidence easy to locate and assess.
Align the Findings with the Research Objectives
The Results chapter should provide a clear connection between the research objectives and the evidence generated to address them. Readers may struggle to understand the contribution of individual analyses when findings are presented in an order unrelated to the objectives.
Before drafting, prepare an alignment matrix connecting each objective or research question with the relevant data, analytical procedure and result section.
| Research component | What to establish |
|---|---|
| Research objective or question | What the study set out to examine |
| Data or evidence | Which observations, responses or records address it |
| Analytical method | How the evidence was examined |
| Result section | Where the corresponding findings are reported |
| Supporting material | Which tables, figures, extracts or model outputs provide evidence |
This matrix is particularly useful when a thesis contains multiple objectives, hypotheses or analytical techniques. It also helps identify gaps, such as an objective that has no corresponding results section or an analysis that is reported without a clear connection to the research purpose.
The alignment should be substantive rather than merely a matter of matching headings. Each result should be relevant to the research question and supported by the analytical procedure described in the Methodology chapter.
Present Quantitative Results Accurately and Transparently
Quantitative Results chapters commonly include descriptive statistics, inferential tests, model estimates and measures of uncertainty. The precise reporting requirements depend on the discipline, statistical method and institutional conventions.
Descriptive statistics provide an overview of the data. Depending on the variables and study design, these may include frequencies, percentages, means, medians, standard deviations, ranges or interquartile ranges. The choice of summary measure should be appropriate to the scale and distribution of the data.
Inferential analyses should be reported with enough information for readers to understand the result and, where relevant, assess the strength and uncertainty of the evidence. Depending on the method, this may include test statistics, degrees of freedom, p-values, confidence intervals, effect sizes, model coefficients or measures of model fit.
For example, a report of a statistically significant association should identify the variables examined and provide the relevant statistical evidence. A p-value alone is rarely sufficient to communicate the magnitude or practical relevance of a finding. Where appropriate, effect sizes and confidence intervals provide additional information.
The reporting should also distinguish between statistical significance and substantive importance. A small effect may be statistically significant in a large sample, while a potentially meaningful effect may not reach a conventional significance threshold in a smaller study. Such distinctions should be stated carefully without overstating what the data establish.
Present Qualitative Findings as an Organised Body of Evidence
In qualitative research, the Results chapter often presents themes, categories, processes, experiences or patterns identified through analysis. The presentation should make clear how the findings were organised and how the supporting evidence relates to the analytical claims.
Themes should not be treated as simple topic headings without explanation. Each major theme requires a clear account of the pattern or concept it represents, followed by appropriate evidence. Interview extracts, field notes, documents or other source material may be used to illustrate the findings, subject to the study’s ethical and confidentiality requirements.
A useful structure for presenting a qualitative theme is:
- Theme heading: A concise description of the central finding.
- Analytical overview: An explanation of the pattern or concept represented.
- Supporting evidence: Selected extracts or observations that demonstrate the finding.
- Variation within the theme: Relevant differences, exceptions or contrasting experiences.
- Brief synthesis: A concise statement of what the evidence establishes.
The researcher should avoid presenting quotations. The text should identify the analytical point illustrated by each extract and explain its relevance to the theme. At the same time, the Results chapter should not become an extended Discussion chapter in which every extract is interpreted through a broad theoretical argument.
If the analysis identifies divergent or negative cases, then these should be reported when relevant. A presentation that includes only evidence supporting the dominant pattern may give readers an incomplete view of the dataset.
Use Tables and Figures to Support the Presentation
Tables and figures can make complex findings easier to understand, but these should be selected according to the type of evidence and the purpose of the presentation. A table is often suitable when readers need to examine precise values or compare several categories. A figure may be more effective for showing trends, distributions, relationships or processes.
Every table or figure should have a clear title, appropriate labels and a consistent format. Units, sample sizes, abbreviations and statistical notes should be included where necessary. The accompanying text should direct readers to the important information rather than reproduce every value.
A practical distinction is:
| Presentation | Often useful for |
|---|---|
| Tables | Exact values, descriptive summaries, model estimates and comparisons |
| Bar charts | Comparisons between categories |
| Line graphs | Trends or changes across an ordered sequence |
| Scatterplots | Relationships between two quantitative variables |
| Thematic tables | Organising qualitative themes, categories or illustrative evidence |
| Diagrams | Processes, sequences or relationships (part of the findings) |
Visual presentation should not distort the evidence. Axes, scales, categories and statistical annotations should be chosen carefully, and the same information should not be repeated in full in both a table and a figure unless there is a clear reason.
Maintain the Distinction between Results and Discussion
One of the most frequent challenges in thesis writing is deciding how much interpretation belongs in the Results chapter. Some disciplines expect a relatively descriptive account of findings, while others permit limited interpretation or combine Results and Discussion.
If the chapters are separate, then the Results chapter should primarily establish what the evidence shows. The Discussion chapter should then explain the significance of those findings, compare them with previous studies, examine theoretical implications and consider possible explanations.
For example, the Results chapter may report that a particular relationship was statistically significant, provide the coefficient and confidence interval, and identify the direction of the association. The Discussion chapter may examine why the relationship occurred, how it compares with previous research and what it means for the theoretical framework.
This separation does not mean that the Results chapter must be difficult to read or consist only of numbers. Brief signposting and factual descriptions are valuable. The key is to avoid unsupported explanations, causal claims or broad implications that the analysis does not establish.
Report Unexpected, Non-Significant and Contradictory Findings
Unexpected or non-significant results are part of the research record and should be reported transparently when they address the study’s objectives or are relevant to the analytical plan. Their presence does not, by itself, indicate that the research has failed.
If a hypothesis is not supported, then the Results chapter should state this accurately and provide the corresponding evidence. It should not imply that the hypothesis was supported merely because some related statistic appears noteworthy. Similarly, contradictory patterns across analyses should be reported rather than being selectively omitted.
The explanation of why a result may have occurred generally belongs in the Discussion chapter, particularly when the explanation involves theory, previous research or possible contextual influences. In the Results chapter, the priority is to describe the finding and provide the evidence necessary to assess it.
Ensure Consistency between the Methodology and Results Chapters
The analytical procedures reported in the Results chapter should correspond with the methods described in the Methodology chapter. If the methodology specifies a particular statistical model, coding framework or experimental comparison, the results should make clear how that procedure was applied.
Any legitimate departures from the planned procedure should be explained transparently, with the rationale and implications addressed in the appropriate section. The thesis should not present an analysis as though it had been planned in advance and was introduced only after examining the data.
Consistency should also be checked across variable names, sample sizes, units, group labels, table references and statistical notation. Even minor discrepancies can make the analytical process difficult to follow and may raise questions about the reliability of the reporting.
Common Problems in Writing Results Chapter
Several issues can weaken the clarity and credibility of a Results chapter:
- Reporting output without explanation: Statistical tables or software output are inserted without identifying the relevant findings.
- Unclear organisation: Results are presented in the order in which analyses were performed rather than in a logical sequence.
- Overinterpretation: The chapter makes causal, theoretical or practical claims that are not established by the reported evidence.
- Selective reporting: Findings that do not support expectations are omitted or given insufficient attention.
- Unnecessary repetition: The same numerical information is repeated extensively in the text, tables and figures.
- Inconsistent terminology: Variables, themes or participant groups are labelled differently across sections.
- Weak alignment: The chapter reports analyses without clarifying their relationship to the research objectives.
These problems can often be identified through a structured review of the chapter, using the research objectives as the organising reference point.
A Practical Workflow for Drafting and Reviewing
A systematic workflow can reduce repetition and improve the connection between the analysis and its presentation.
- Review the objectives and research questions. Identify the evidence needed to address each one.
- Organise the analytical outputs. Group statistical results, tables, figures, extracts or other evidence according to the relevant objective or theme.
- Create the chapter outline. Decide the order in which the findings should be presented.
- Draft the results sections. Begin with the central finding, then provide the supporting evidence and any necessary factual explanation.
- Prepare tables and figures. Ensure that each visual has a clear purpose and is accurately labelled.
- Check methodological consistency. Compare the reported analyses with the procedures described in the Methodology chapter.
- Review the Results–Discussion boundary. Move extended explanations and literature comparisons to the Discussion chapter where the thesis structure requires a separation.
- Conduct a final accuracy check. Verify values, sample sizes, labels, references and cross-references against the original analytical records.
Results Chapter Quality Checklist
Before finalising the chapter, check whether:
- Every major research objective or question has a corresponding presentation of findings.
- The order of sections is logical and easy to follow.
- Statistical methods and qualitative analytical procedures are reported consistently in the Methodology chapter.
- Tables and figures are accurate, readable and appropriately introduced.
- Numerical values, units, labels and sample sizes are consistent throughout.
- Non-significant, unexpected and contradictory findings are reported where relevant.
- The text explains the evidence without duplicating every value in the tables.
- Claims remain within the limits of the data and research design.
- The chapter follows the university’s requirements and disciplinary conventions.
- The summary accurately reflects the findings without introducing new results.
Conclusion
A strong PhD Results chapter presents evidence in a clear, systematic and transparent manner. Its organisation should reflect the research objectives, while its reporting should remain consistent with the methodology and appropriate to the type of data. Tables, figures and supporting extracts should clarify the findings rather than replace the written account. The Results chapter should allow readers to understand what the research has established and how the reported evidence supports that account. Careful attention to structure, accuracy, transparency and the distinction between results and interpretation strengthens the thesis and provides a sound foundation for the Discussion chapter.
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