Related-samples nonparametric tests (automatic)
Compares repeated measurements of the same cases: Wilcoxon (two scale fields), Friedman (three or more), McNemar (two yes/no fields) or Cochran's Q (three or more yes/no fields).
Menu: Analyze → Nonparametric Tests → Related Samples…
When should I use it?
- Before/after or repeated ratings by the same people.
What are the assumptions?
- Each row is one case measured on every field.
How do I run it in StatLab?
- Move two or more fields to Test fields.
How do I read the output?
| Output | Meaning |
|---|---|
| Hypothesis Test Summary | The test chosen, Sig. and the decision. |
Worked example
On the practice survey dataset (File → Sample dataset), this command — which the dialog's Paste button also produces — runs the procedure:
PROC npRelated /vars=(score age) /alpha=0.05 /details=NO.
Output tables: Hypothesis Test Summary.
Computed by StatLab's validated procedure code when this page was built. The example only illustrates the steps; choose variables that fit your own research question.
What are common mistakes?
- Using it for independent groups — use Independent Samples instead.