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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Latest guides
How to Analyze Pre and Post Test Data: An Easy SPSS Guide (2026)
Learn how to analyze pre and post test data (): match each row, check the differences, pick the paired test, and report…
How to Write a Research Proposal for a Quantitative Study (2026)
How to write a research proposal for a quantitative study: an eight-step structure, sample size justification, hypotheses and a question-to-test analysis plan.
How to Analyze Panel Data for a Thesis: Step-by-Step (2026)
How to analyze panel data for a thesis in : reshape to long format, choose fixed or random effects, run the Hausman…
How to Run a Time Series Analysis for Beginners (2026)
How to run a time series analysis for beginners in : plot the series, test stationarity, transform the data, fit a baseline…
When You Need Multilevel Models for Nested Data (2026)
When you need multilevel models for nested data in : ICC and design effect rules, nested vs crossed structures, and when simpler…
How to Run Stepwise Regression in SPSS (2026) – Why Be Careful
How to run stepwise regression in SPSS with the exact menu path and METHOD=STEPWISE syntax, read the output tables, and avoid errors…
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.