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WILCOXON SIGNED-RANK TEST CALCULATOR

Wilcoxon signed-rank test calculator for paired data.

Compare two related measurements, such as pre-test and post-test scores from the same people, when the differences are not normally distributed. You get T, z, the p value, medians, effect size r, and an APA sentence.

PAIRED DATA

Same participants, two measurements

NON-PARAMETRIC

Keep the same order in both columns: the first value in each column must belong to the same participant.

METHOD

Wilcoxon signed-rank test: when to use it, steps, and reporting

When to use it

  • The same participants are measured twice (pre-test and post-test, two conditions)
  • The differences are skewed or ordinal, such as single Likert items
  • It is the non-parametric alternative to the paired-samples t-test
  • For two different groups of people, use the Mann-Whitney U test instead

How it works

T = min(W⁺, W⁻), z = (W⁺ − n(n+1)/4) ÷ √[n(n+1)(2n+1)/24 − Σ(t³−t)/48]

Take each after − before difference, drop zeros, rank the absolute differences (ties share the average rank), then add the ranks of the positive differences (W⁺) and negative differences (W⁻).

Wilcoxon signed-rank vs paired t-test

Check the differences with a Shapiro-Wilk test. If they look roughly normal, the paired t-test has more power. If they are clearly skewed, have outliers, or come from ordinal ratings, use Wilcoxon.

How to report it (APA style)

“A Wilcoxon signed-rank test indicated that post-test scores (Mdn = 16.0) were significantly higher than pre-test scores (Mdn = 14.5), T = 2, z = 2.61, p = .009, r = .83.” Report medians, T, z, p, and r.

References

  • Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics Bulletin, 1(6), 80–83.
  • Rosenthal, R. (1991). Meta-Analytic Procedures for Social Research (rev. ed.). SAGE.