Item Wording Effects within Variations of ESEM and BSEM Factor Models

• In Event: Bayesian Techniques

Abstract

Method effects can cause misinterpretation of results in self-report measures if not properly controlled. We investigated controls for negative and positive item wording effects within Exploratory and Bayesian structural equation modeling procedures. The results suggest that ESEM WLSMV and informative Bayesian factor analytic techniques reduce the item wording effects.

Authors

• Hyeri Hong, California State University, Fresno

• Earvin Balderama, California State University, Frenso