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 Transform Skewed Data for Analysis (October 2026)
How to transform skewed data for analysis: check skewness, pick log, square root, Box-Cox or Yeo-Johnson, then verify and report it in…
How to Check Skewness and Kurtosis Values in SPSS 2026
How to check skewness and kurtosis values in SPSS, read the output, confirm shape with a histogram and normality tests, then fix…
What to Do With Outliers in Statistical Analysis (2026)
What to do with outliers in statistical analysis in : check for entry errors, test influence, then keep, remove, transform or use…
How to Split a Continuous Variable into Groups: Easy Guide 2026
Learn how to split a continuous variable into groups using cut points, quantiles, and ready-to-run syntax for SPSS, R, Stata, and Python.…
How to Create Composite Scores from Survey Items (2026)
Learn how to create composite scores from survey items using reverse coding, Cronbach's alpha checks, standardization and a clear scoring rule you…
How to Reverse Score Items in SPSS: A Simple Guide 2026
How to reverse score items in SPSS using Compute Variable or Recode, with a worked 1-to-5 example, verification checks and fixes for…
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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.