An important aspect of increased rigor in logistics research is testing for construct validity. Advancements in structural equation modeling make this statistical technique particularly useful in testing construct validity, but few logistics researchers, to date, are employing this useful statistical technique. Thus, the purpose of this article is to examine structural equation modeling as a logistics research tool for testing construct validity. This is accomplished by presenting a process of how to empirically test for construct validity within a single research study using structural equation modeling. For each step in the process, applications and appropriate empirical standards for these applications are presented.