Corresponding author:
Marko Sarstedt, Otto von Guericke University Magdeburg, Universitatsplatz 2, 39106 Magdeburg, Germany. Email: Marko.sarstedt@ovgu.de
Introduction
In their quest to better understand and predict behavior, social scientists and particularly marketing researchers typically deal with constructs (i.e., latent variables) embedded in complex statistical models (e.g., Martinez-Lopez Francisco et al., 2013). These constructs are used to measure broad ideas or thoughts about abstract concepts that researchers seek to investigate (Hair & Sarstedt, 2019). As constructs are—by their very nature—abstract entities, researchers typically use multiple items to measure them.
A statistical model reflects and visually represents relationships among constructs (Bollen, 2002)....