How to Write a Dissertation Results Chapter (With Worked Examples)
Step-by-step guide to the results chapter: what to include, APA reporting of statistics, a worked example and qualitative findings.
Step-by-step help for every stage of your dissertation, from proposal to conclusion.
A dissertation is usually the longest piece of work you will write at university, and it is easier when you take it one chapter at a time. These guides follow the order of a typical project: choosing a research question and methodology, writing the proposal, then the introduction, literature review, results, discussion and conclusion. Two guides help you choose a statistical test and interpret SPSS regression output, including a worked example. Start with the complete step-by-step dissertation guide if you are at the beginning, or go straight to the chapter you are working on. Requirements differ between universities and departments, so always check your own handbook and marking criteria alongside these guides.
Step-by-step guide to the results chapter: what to include, APA reporting of statistics, a worked example and qualitative findings.
Structure, interpreting findings against the literature, a worked example, common mistakes and a checklist.
Read R squared, ANOVA, coefficients, p-values and confidence intervals, and report them in APA style.
A simple guide to choosing between t-tests, ANOVA, chi-square, correlation, regression and non-parametric tests.
Your research question is the foundation of your entire dissertation. Learn how to make it focused, feasible and original.
A step-by-step guide to writing a compelling dissertation introduction — from background context to chapter overview.
Synthesise your findings, answer your research question and make meaningful recommendations in one powerful chapter.
Go beyond summarising sources — learn to critically synthesise research, identify gaps and impress your markers.
Everything you need to know about writing a dissertation — from choosing your topic to final submission.
Qualitative, quantitative or mixed methods? A complete guide with a comparison table and decision framework.
Everything you need to know about crafting a strong dissertation proposal — from research questions to methodology.
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