Median test
Compare groups by how many scores sit above a shared median.
When to use it
Use the median test when you want a simple check of whether groups differ in the chance of landing above the combined median. Kruskal–Wallis uses the full ranking and is usually more informative.
Assumptions
At least two groups, each with enough scores to compare. The outcome is numeric.
Running it in Tensr
Options
Prop
Type
Reading the output
Two tutorial groups drawn from the same distribution, compared on how many sit above the combined median.
| Group | n | Status |
|---|---|---|
| A | 40 | included |
| B | 40 | included |
Median test of score by group (2 groups) on 80 rows. The primary result is not significant (p = .823). This is not large enough to treat the comparison this page is about as a reliable association. The result is non-significant: the data are still compatible with no effect. Metrics: χ² = 0.05; p-value = .823; Grand median = 69.35.
Reporting (APA 7)
Median test of score by group (2 groups) on 80 rows. This result is not significant (p = .823). Report the estimate with that p, and do not describe the pattern as a reliable effect.
Coming from SPSS
Analyze → Compare Means → Median Test.