An increase in multicollinearity ensures that the likelihood of a moderation effect being identified is decreased.

Question

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Multicollinearity refers to a situation in statistics where independent variables in a model are highly correlated. This condition can make it difficult to determine the individual effect of each variable on the dependent variable, potentially obscuring the identification of moderation effects, where one variable affects the strength or direction of the relationship between two other variables.

An Increase in Multicollinearity Ensures That the Likelihood of a Moderation