Both multiple regression and moderator analysis can be used to
A) determine underlying factors in a set of variables.
B) check for item overlap as a cause of an observed correlation between two measured variables.
C) maximize the correlation between predictor variables and a criterion.
D) control for shrinkage in predictive validity coefficients.

Question

Quizplus · Accepted Answer

Multiple regression is used to maximize the correlation between predictor variables and a criterion by examining the linear relationships between a dependent variable and one or more independent variables. Moderator analysis, a form of multiple regression, investigates how the strength or direction of the relationship between independent and dependent variables changes as a function of a third variable (the moderator). Neither is primarily used for determining underlying factors, checking for item overlap, or controlling for shrinkage in predictive validity coefficients.

Both Multiple Regression and Moderator Analysis Can Be Used to