Cramer's V is rarely useful for contingency tables that are larger than 2 X 2.

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Cramer's V is a measure of association for contingency tables. It is calculated by dividing the chi-square statistic by the minimum of the number of rows and columns in the table. Cramer's V can range from 0 to 1, with 0 indicating no association and 1 indicating perfect association.Cramer's V is most useful for contingency tables that are 2 X 2. This is because the chi-square statistic is not a good measure of association for tables that are larger than 2 X 2. The chi-square statistic is sensitive to the number of cells in the table, and it can be difficult to interpret the results of the chi-square test for tables that are larger than 2 X 2.For contingency tables that are larger than 2 X 2, it is better to use a different measure of association, such as the phi coefficient or the contingency coefficient. These measures of association are not as sensitive to the number of cells in the table, and they can be more easily interpreted.

Cramer's V Is Rarely Useful for Contingency Tables That Are