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 Calculate Sample Size for a Survey (October 2026)
Learn how to calculate sample size for a survey using margin of error, confidence level, and response rate. Worked examples for students,…
How to Interpret Cohen D Values: Student Guide (2026)
Learn how to interpret Cohen D values in , compare effect sizes, read confidence intervals and report results clearly in student research.
How to Calculate and Report Partial Eta Squared (October 2026)
How to calculate and report partial eta squared in : read the SPSS effect size column, work the formula by hand, interpret…
How to Make APA Style Tables in Word for Statistics (2026)
Learn how to make APA style tables in Word for statistics in , with exact ribbon paths, APA 7 border rules, notes,…
How to Describe Descriptive Statistics in a Results Section 2026
Learn how to describe descriptive statistics in a results section in , with worked examples, APA 7 rules, software commands and sentence…
How to Interpret Odds Ratios in Logistic Regression (2026)
Learn how to interpret odds ratios in logistic regression in : what values above and below 1 mean, how to read confidence…
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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.