This article discusses applications of stepwise and hierarchical multiple regression
analyses to research in organizational psychology. Strategies for identifying type I and II errors, and
solutions to potential problems that may arise from such errors are proposed. In addition, phenomena
such as suppression, complementarity, and redundancy are reviewed. The article presents examples of
research where these phenomena occurred, and the manner in which they were explained by researchers.
Some applications of multiple regression analyses to studies involving between-variable interactions
are presented, along with tests used to analyze the presence of linearity among variables. Finally,
some suggestions are provided for dealing with limitations implicit in multiple regression analyses
(stepwise and hierarchical).