On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations

摘要

To estimate structural equation models, researchers can draw on two main approaches: Covariance-based structural equation modeling (CB-SEM) and partial least squares structural equation modeling (PLS-SEM). Concerns about the limitations of the different approaches might lead researchers to seek reassurance by comparing results across approaches. But should researchers expect the results from CB-SEM and PLS-SEM to agree, if the structure of the two models is otherwise the same? Differences in philosophy of science and different expectations about the research situation underlie five different perspectives on this question. We argue that the comparison of results from CB-SEM and PLS-SEM is misleading and misguided, capable of generating both false confidence and false concern. Instead of seeking confidence in the comparison of results across methods, which differ in their specific requirements, computational procedures, and imposed constraints on the model, researchers should focus on more fundamental aspects of research design. Based on our discussion, we derive recommendations for applied research using SEM.