Browsing by Author "Sarstedt, Marko"
Now showing items 1-3 of 3
-
Data generation for composite-based structural equation modeling methods
(Springer, 2020)Examining the efficacy of composite-based structural equation modeling (SEM) features prominently in research. However, studies analyzing the efficacy of corresponding estimators usually rely on factor model data. Thereby, ... -
Prediction: coveted, yet forsaken? Introducing a cross-validated predictive ability test in partial least squares path modeling
(Wiley, 2020)Management researchers often develop theories and policies that are forward‐looking. The prospective outlook of predictive modeling, where a model predicts unseen or new data, can complement the retrospective nature of ... -
Structural equation models: From paths to networks (Westland 2019)
(Springer, 2020)Structural equation modeling (SEM) is a statistical analytic framework that allows researchers to specify and test models with observed and latent (or unobservable) variables and their generally linear relationships. In ...
