Accurate case‐outcome modeling in economics, psychology, and marketing

This article describes why and how to end bad science practices and shallow information‐from‐data reporting by embracing a seemingly minor but quite a radically different research paradigm that includes asymmetric, configurational‐focused case‐outcome theory construction and somewhat precise outcome testing. This radically different paradigm provides accurate point or interval estimates of case‐outcomes. As an illustration of this paradigm, the exposition in this article includes an elaboration based on additional analyses of data in research appearing in a recent issue of this journal.