Interpreting Regression Effects Custom Dialogue: An SPSS Plug-In to the R Yhat Package

• In Event: 52.071 - General Linear Model Multiple Linear Regression: Modern Issues and Techniques

Abstract

This paper presents a SPSS custom dialog (Interpreting Regression Effects) that was developed to access R software that helps researchers more fully understand how sets of independent variables contribute to a regression model. With the Interpreting Regression Effects custom dialog, researchers and practitioners who are unfamiliar with R can conveniently use SPSS to perform multiple procedures for interpreting regression effects as those available in the yhat package (cf. Nimon & Oswald, 2013; Nimon, Oswald, & Roberts, 2013). 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.

Authors

• Paeng Angnakoon, University of North Texas

• Kim Nimon, The University of Texas - Tyler