Asif Hanif

Theory to Prediction: Hybrid Models for Binary Endogenous Variables in PLS-SEM Using Supervised Machine Learning

Theoretical explanation and out-of-sample prediction are both important in applied structural modeling. Partial least squares structural equation modeling (PLS-SEM) estimates relationships among latent-variable scores, but its ordinary least squares structural regressions are not directly suited to a binary endogenous...