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McNemar test


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In statistics, a distribution-free test of the significance of changes, especially applicable to before-after designs of the effects of particular treatments in which scores are dichotomous and measurement is made on a nominal scale or an ordinal scale. It tests the null hypothesis that unlike pairs of responses (0, 1) and (1, 0) are equally likely. [Named after the US psychologist and statistician Quinn McNemar (1900–86) who developed it in 1947]

Subjects: Probability and Statistics — Psychology.


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