Research Methods
Browse articles by category and topic.
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Non-Parametric Tests Explained 2026: Mann-Whitney, Wilcoxon and Kruskal-Wallis
When to use non-parametric tests, how Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman and Spearman map onto their parametric equivalents, what they actually…
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Ethnography and Autoethnography in Research Explained (2026)
What ethnography is, how autoethnography differs, the main variants including digital and institutional ethnography, and how fieldnotes, reflexivity and thick…
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How to Run a Chi-Square Test in SPSS and Report It in APA Format Step by Step (2026)
A step-by-step guide to running a chi-square test of independence and goodness-of-fit in SPSS, checking the expected-count assumption, and reporting…
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Triangulation in Research Explained: Types & Examples (2026)
Triangulation strengthens the credibility of your findings by viewing them from more than one angle. This guide explains Denzin’s four…
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Narrative Analysis vs Discourse Analysis: Key Differences (2026)
Narrative and discourse analysis are often confused, but they ask different questions of qualitative data. This guide sets out the…
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How to Conduct a Pilot Study for Your Dissertation Step by Step (2026)
A step-by-step guide to running a pilot study before your main dissertation research: why it matters, how many participants you…
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Data Saturation in Qualitative Research: How to Know When to Stop Collecting Data (2026)
Data saturation is the point where new interviews stop producing new codes or themes. Here’s how researchers actually determine and…
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Content Analysis vs Thematic Analysis: Key Differences Explained (2026)
Content analysis counts and categorises data; thematic analysis interprets meaning. How to tell the two qualitative methods apart and pick…
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Free Statistical Software for Students in 2026: 15 Tools for Thesis Data Analysis (Ranked List)
Ranked list of 15 genuinely free statistical software tools for students in 2026 — JASP, R, jamovi, Python, G*Power and…
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How to Analyse Your Dissertation Data with AI (Qual & Quant Workflows)
A practical, integrity-conscious workflow to analyse your dissertation data with AI — first-pass qualitative coding with mandatory human validation, quantitative…