Abstract
This study compared the suitability of the restrictive framework of independent cluster model (ICM) and a more flexible framework of exploratory structural equation model (ESEM) to a personality instrument in a faking study. We proposed and answered five research questions using the model-testing procedures described by Morin, Arens, and Marsh (2016). More specifically, we compared the fit of ICM-CFA and ESEM, and ESEM and bi-factor ESEM, and we investigated the patterns of factor correlations and the presence of cross-loadings in these models. In our faking condition, we found the ESEM applications provided the better representation of the data, and the adverse effects of the strict assumptions of ICM-based models to be most apparent. Limitations and practical implications were discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
