A Structural Equation Model at the Individual and Group Level for Assessing Faking-Related Change

Abstract

This article proposes a comprehensive approach based on structural equation modeling for assessing the amount of trait-level change derived from faking-motivating situations. The model is intended for a mixed 2-wave 2-group design, and assesses change at both the group and the individual level. Theoretically the model adopts an integrative approach that relates the 2 main current conceptualizations of faking, and models the amount of trait change as an individual-differences variable. The model and procedures are used in an empirical study based on 512 participants. Some of the results are interesting and warrant further research. Overall, the methodology that is proposed provides new resources for the theoretical and applied assessment of faking. In particular, it provides the practitioner with new tools for clearly assessing faking at the individual level.