What is it about?

We provide an intuitive introduction to permutation testing for data collected in controlled experiments. This methodology offers an attractive alternative to normal-theory and asymptotic statistical testing when working with small samples. Familiar rank-based tests like the Wilcoxon signed-rank test and Mann–Whitney U test are special cases of the general permutation framework that we think experimenters should adopt.

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Why is it important?

Modern computing power makes continued reliance on older rank-based tests unwise in many applications. We demonstrate how researchers can construct tests that make more natural and more complete use of collected sample data.

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This page is a summary of: Permutation tests for experimental data, Experimental Economics, April 2023, Springer Science + Business Media,
DOI: 10.1007/s10683-023-09799-6.
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