On the benefits of using the Process macro to test statistical models in data analysis classes
The test of statistical models can be of primary interest for professionals who aim to get a deep understanding of the circumstances in which a phenomenon occurs. Furthermore, statistical tests are necessary if one aims to identify the mechanism(s) that explain(s) that phenomenon. Unfortunately, such statistical tests are often conducted using structural equation models, a kind of models that requires for students a considerable knowledge in statistics and represents a barrier they often cannot overcome. What we propose in this present is to focus on recent trends in statistics that show how the tests of statistical models, at least those that involve no more than seven variables, can be easily performed using the Process macro developed from Hayes (2012). We thus propose to present the macro, and demonstrate its superiority in the classroom over structural equations modeling, both for assessing the classic moderation and mediation questions and for enabling professionals to extend beyond these basic inquiries.