RESEARCH GUIDE
The Dissertation Methodology Chapter
Sample Size, Measures and Analysis Plan
In the methodology chapter a committee tests whether the study could answer its questions: the sample, the instruments and the planned analysis are read against each other, and the statistical parts are where a mismatch shows first.
THE STATISTICAL PARTS
Statistical Content a Methodology Chapter Must Hold
Five parts of the chapter depend on statistical reasoning, and a weakness in one usually shows up in another.
The dissertation methodology chapter reports how the study was carried out, in the past tense and in enough detail that another researcher could repeat it. Its statistical content falls in the variables, the sample, the measures, the analysis subsection and the software record, and these have to agree with the research questions. The chapter and its argument remain the researcher’s. OnlineSPSS, a specialist statistical consultancy for academic, clinical and professional research, supports the statistical component through an in-house PhD-level statistician: the sample size reasoning, the analysis plan and the analysis itself.
Variables and Their Roles Each variable is defined as it was analyzed: the outcome, the predictors or groups, the covariates and how each was coded or computed, including any composite built from items. A committee reads this list against the research questions to see that every question has a measured outcome.
Sample and Sample Size The population, the sampling method and the achieved sample are given, with the reasoning for the target size, usually the precision or power needed for the main question. The calculation names its inputs, so a committee can see where the target came from.
Measures and Their Evidence Dissertation sampling and measures belong together, because a sample is judged by the instruments it answered. Each measure is described with its scoring and with reliability and validity evidence, including reliability estimated in this sample.
The Statistical Analysis Subsection The statistical analysis subsection names, for each research question, the variables, the model, the diagnostics and what would be done if they fail, the handling of missing data, the significance level and any adjustment for multiple tests.
Software and Reproducibility The statistical software, its version and any add-on or package used are named and cited in the department's style, and the syntax or scripts are kept so every analysis can be rerun. A committee that asks to see them can then be answered at once.
FREQUENTLY ASKED QUESTIONS
Questions About the Methodology Chapter
Committees expect a clean line between the methodology and the results, and the two questions here sit on that line.
Should the analysis subsection name the effect size for each test?
Yes: for each research question it names the effect size that accompanies the test and the interval reported around it. Naming them in the methodology ties the results chapter to a stated plan and keeps a convenient index from being picked after the output is seen. Where the sample size calculation assumed an effect of a given size, the same metric is used in both places, so a committee can set the assumed and observed values side by side.
Do assumption checks belong in the methodology or the results chapter?
The plan for them belongs in the analysis subsection, and the findings belong in the results. The subsection names the diagnostics to be used and what will be done if a problem appears, such as a robust method or a different model. The results chapter then reports what the diagnostics showed and which route was taken. Keeping the two apart lets a reader see that the rules were set before the data were examined.
How do you protect my research data and confidentiality?
Your dissertation materials and project details are handled confidentially. Project information is not published, and researcher names and institutions are not used publicly without permission. An NDA is available where required and can be arranged before sensitive materials are shared. Read more about confidentiality and data security.
What happens when I request an assessment, and how long does it take?
You share your research question, design and relevant materials, such as a protocol, an analysis plan or a dataset, and a statistically trained Research Coordinator reviews the request and responds the same day. The analysis, deliverables, timeline and one fixed project fee are then confirmed before any work begins, so the timeline follows from the agreed scope.
Still have a question? Find more answers in our full FAQ.
NEXT STEP
Statistics Behind
Your Methodology Chapter?
The sample size reasoning and the planned analysis draw the closest statistical questions in this chapter, and support for them can start at the proposal stage or after data collection.
No Commitment Required
Strictly Confidential
Fixed Project Fee
In-House PhD-Level Statisticians
Same-Day Response
Serving Researchers Since 2014