The authors would like to thank three anonymous reviewers for their constructive comments and feedback on earlier drafts of this article. A previous version of this article was presented at the 17th Annual Conference of the Society for Industrial and Organizational Psychology in Toronto, Canada in April 2002.
A MULTIDIMENSIONAL APPROACH FOR EVALUATING VARIABLES IN ORGANIZATIONAL RESEARCH AND PRACTICE
Version of Record online: 17 MAY 2007
Volume 60, Issue 2, pages 475–498, Summer 2007
How to Cite
LeBRETON, J. M., HARGIS, M. B., GRIEPENTROG, B., OSWALD, F. L. and PLOYHART, R. E. (2007), A MULTIDIMENSIONAL APPROACH FOR EVALUATING VARIABLES IN ORGANIZATIONAL RESEARCH AND PRACTICE. Personnel Psychology, 60: 475–498. doi: 10.1111/j.1744-6570.2007.00080.x
- Issue online: 17 MAY 2007
- Version of Record online: 17 MAY 2007
One of the most difficult tasks facing industrial-organizational psychologists is evaluating the importance of variables, especially new variables, to be included in the prediction of some outcome. When multiple regression is used, common practices suggest evaluating the usefulness of new variables by showing incremental validity beyond the set of existing variables. This approach assures that the new variables are not statistically redundant with this existing set, but this approach attributes any shared criterion-related validity to the existing set of variables and none to the new variables. More importantly, incremental validity alone fails to answer the question directly about the importance of variables included in a regression model—arguably the more important statistical concern for practitioners. To that end, the current article reviews 2 indices of relative importance, general dominance weights and relative weights, which may be used to complement incremental validity evidence and permit organizational decision makers to make more precise and informed decisions concerning the usefulness of predictor variables. We illustrate our approach by reanalyzing the correlation matrices from 2 published studies.