Jelte Wicherts (Tilburg University, The Netherlands)

Like any statistical procedure, the application of Structural Equation Modelling (SEM) is sensitive to errors and biases. Here I discuss the most likely errors and biases in applying SEM and reporting of SEM results. I present the results of a study of reporting errors with confirmatory factor analyses in the literature. I discuss the implications and highlight potential solutions. The latter includes the mandatory reporting of correlation/covariance matrices when applying SEM and syntaxes as part of supplementary files, which would allow for verification of the SEMs in published reports.