Structural equation modeling (SEM) is a data-analytic technique that allows researchers to test complex theoretical models. Most published applications of SEM involve analyses of cross-sectional recursive (i.e., unidirectional) models, but it is possible for researchers to test more complex designs that involve variables observed at multiple…

The four reactions in the May 2005 issue of "The Counseling Psychologist" address several considerations regarding the use of structural equation modeling (SEM) in counseling psychology research, including its appropriateness for analyzing one's data and testing one versus multiple theoretical models. In addition, points that are not mentioned in…

To complement recent articles in this journal on structural equation modeling (SEM) practice and principles by Martens and by Quintana and Maxwell, respectively, the authors offer a consumer's guide to SEM. Using an example derived from theory and research on vocational psychology, the authors outline six steps in SEM: model specification,…