"Interpreting regression effects custom dialog: An SPSS plug-in to the R yhat package" by P. Angnakoon

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Interpreting regression effects custom dialog: An SPSS plug-in to the R yhat package

General Linear Model Journal (2015)

P. Angnakoon
A. Kraha
Kim Nimon, University of Texas at Tyler

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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

Disciplines

Business and
Human Resources Management

Publication Date

2015

Citation Information

P. Angnakoon, A. Kraha and Kim Nimon. "Interpreting regression effects custom dialog: An SPSS plug-in to the R yhat package" General Linear Model Journal Vol. 41 Iss. 2 (2015) p. 1 - 12
Available at: http://works.bepress.com/kim-nimon/90/