CramerV

CramerV refers to a statistical measure used in regression analysis, specifically in the context of assessing the significance of a regression model. It is a value derived from the F-statistic, which is used to test the overall significance of a regression model. The F-statistic itself is a ratio of the variance explained by the regression model to the unexplained variance. A higher F-statistic generally indicates a stronger model.

The CramerV statistic, however, is more commonly associated with categorical variables and chi-squared tests. When used in the context of chi-squared tests of independence, Cramer's V is a measure of association between two nominal variables. It ranges from 0 to 1, where 0 indicates no association and 1 indicates perfect association. A higher Cramer's V value suggests a stronger relationship between the two variables.

In some statistical software or contexts, "CramerV" might also refer to a specific implementation or a function designed to calculate this measure. It is important to consider the context in which "CramerV" is encountered to understand its precise meaning. For instance, if encountered alongside regression output, it might be a misapplication or a non-standard reporting of a related concept. If used with contingency tables, it is almost certainly referring to Cramer's V as a measure of association.