Data analysis, surveys, research methods
Statistics help that reads like a procedure, not a lecture
Practical, plain-language guides to running and reporting statistical, survey and spatial data analysis, written for the moment you are already mid-task.
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How to Write Interview Questions for a Qualitative Study 2026
Learn how to write interview questions for a qualitative study, from open-ended prompts to neutral probes, then pilot your guide before fieldwork.…
How to Calculate Intercoder Reliability: A Simple Guide (2026)
How to calculate intercoder reliability with Cohen's kappa, percent agreement or Krippendorff's alpha, plus worked examples in Excel, SPSS and R for…
How to Use NVivo Basics for Qualitative Analysis (2026)
Learn how to use NVivo basics for qualitative analysis in : create a project, code interviews, organise codes into themes and export…
How to Write a Codebook for Qualitative Coding (2026)
How to write a codebook for qualitative coding in : define codes, document categories, add decision rules and test the scheme before…
How to Do Thematic Analysis Step by Step (2026)
How to do thematic analysis step by step: define the question, code the data, build and check themes, then write it up,…
How to Present Qualitative Findings With Themes and Quotes 2026
How to present qualitative findings with themes and quotes in : clear theme labels, evidence-led paragraphs and honest interpretation examiners accept.
Asked mid-analysis
Questions this site answers
- —Which test actually fits my data?
- —What do I do when the assumptions fail?
- —How should I clean and code survey responses?
- —How do I write the results up so a reviewer accepts them?
About
What this site is for
Data Analysis Help is a working reference for the parts of research that stall: choosing a test, running it, and reporting what it means in clear language.
It is written for students, graduate researchers and early-career analysts who need a procedure they can follow while the work is still open in front of them.