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randomization test


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In statistics, a distribution-free approach to significance testing that is carried out either by forming all possible permutations of all possible scores, or by selecting a random sample of all possible permutations of all possible scores, and then counting the proportion that are at least as extreme as the observed score, either in terms of raw scores or a test statistic, such as the t test value, derived from the raw scores. It is similar to resampling statistics but differs from it in using all possible permutations of scores, or a random sample of these, rather than restricting the permutations to the actual scores obtained in the study. The prototypical randomization test is Fisher's exact test. See also Monte Carlo method.

Subjects: Psychology.


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