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 Add Skip Logic in Google Forms (October 2026)
Learn how to add skip logic in Google Forms in using section navigation, answer choices, and page breaks to build smarter student…
How to Set Up a Survey in LimeSurvey: Easy Guide (2026)
Learn how to set up a survey in LimeSurvey in , from building question groups and skip logic to mobile testing, activating…
How to Interpret Model Fit Indices in CFA for Students (2026)
How to interpret model fit indices in CFA without overclaiming: what RMSEA, CFI and SRMR thresholds mean, and how to report fit…
How to Run Exploratory Factor Analysis in SPSS (October 2026)
How to run exploratory factor analysis in SPSS step by step: check KMO, choose principal axis factoring, read loadings, and report your…
How to Build a Survey in Google Forms Step by Step (2026)
How to build a survey in Google Forms step by step: add sections and branching, set validation, preview, share, and read results…
How to Decide How Many Factors to Retain in EFA (October 2026)
How to decide how many factors to retain in EFA with parallel analysis. See how Kaiser's rule, the scree plot and communalities…
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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?
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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.