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A repeated-measures test for categorical data. Given that two variables with the same 2 categories (McNemar test) or k categories (McNemar-Bowker test) form a square contingency table, the test's question is whether population proportion in every off-diagonal cell is equal to that in the symmetric cell. The 2x2 McNemar's test can be seen also as a "marginal homogeneity" test.

A test for dependent categorical data, such as yes/no data before & after a treatment. The McNemar-Bowker test generalizes McNemar's test for $k>2$ categories. The tests assess whether the population proportions in each pair of corresponding symmetric cells are equal.

A repeated-measures test for categorical data. Given that two variables with the same 2 categories (McNemar test) or k categories (McNemar-Bowker test) form a square contingency table, the test's question is whether population proportion in every off-diagonal cell is equal to that in the symmetric cell

A repeated-measures test for categorical data. Given that two variables with the same 2 categories (McNemar test) or k categories (McNemar-Bowker test) form a square contingency table, the test's question is whether population proportion in every off-diagonal cell is equal to that in the symmetric cell. The 2x2 McNemar's test can be seen also as a "marginal homogeneity" test.

A repeated-measures test for categorical data. Given that two variables with the same 2 categories (McNemar test) or k categories (McNemar-Bowker test) form a square contingency table, the test's question is whether population proportion in every off-diagonal cell is equal to that in the symmetric cell