Abstract

There are increasing vocal concerns about the application of measurement invariance testing arguing that it is overly strict and arbitrary. We argue that invariance is not just a procedural hurdle but a substantive tool that enhances the understanding of psychological constructs across diverse populations and has important implications for both theory testing and theory development. First, we outline the importance of how invariance, in a broad sense, plays a role at all the major steps within a research cycle, involving both theoretical and methodological concerns. Second, we suggest a list of points linked to these invariance concerns that can benefit research reports to improve reliability, validity, and fairness. We see invariance as a crucial part of scientific inquiry and an informative tool for empirical research. We agree with Funder and Gardiner’s point that “Data are data,” but would like to add that invariance inquiries and their implications help making sense of the data and the underlying world.

Full Text
Paper version not known

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 call

Disclaimer: 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.