Original paper
Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models
Abstract
The cross-product term in moderated regression may be collinear with its constituent parts, making it difficult to detect main, simple, and interaction effects. The literature shows that mean-centering can reduce the covariance between the linear and the interaction terms, thereby suggesting that it reduces collinearity. We analytically prove that mean-centering neither changes the computational precision of parameters, the sampling accuracy of...
Paper Details
Title
Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models
Published Date
May 1, 2007
Journal
Volume
26
Issue
3
Pages
438 - 445
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Notes
History