Identifying Moderator Variables Using Multiple Regression: A Reply to Darrow and Kahl

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Abstract
Darrow and Kahl's (1982) paper on detecting moderator variables is misleading because it contains both logical and methodological problems. The present paper was written to respond to two of those problems: their distinction between pure and mixed moderators and their choice of model for testing for moderator effects. In this paper we show that the distinction between pure and mixed models is uninformative and that the standard hierarchical regression model represents the appropriate method for identifying moderator variables.

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