Abstract
This paper presents an SPSS custom dialog (Interpreting Regression Effects) that was developed to access R software that helps researchers more fully understand how sets of predictor variables contribute to a regression model. The Interpreting Regression Effects custom dialog allows researchers to consider a wide variety of predictor and all-possible subset related metrics when interpreting regression effects including regression weights, validity coefficients, structure coefficients, product measures, relative important weights, all-possible-subsets regression, commonality coefficients, and dominance weights.

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Copyright (c) 2015 Putthachat Angnakoon, Amanda Kraha, Kim Nimon (Author)