Recommended Practices in Latent Class Analysis Using the Open-Source R-Package tidySEM

Complementing preregistered confirmatory analyses with rigorous, reproducible exploration using machine learning

(2022) Caspar J. Van Lissa   Religion Brain & Behavior

Teacher’s Corner: Evaluating Informative Hypotheses Using the Bayes Factor in Structural Equation Models

(2020) Caspar J. Van Lissa et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies

(2016) Rens van de Schoot et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

OpenMx 2.0: Extended Structural Equation and Statistical Modeling

(2015) Michael C. Neale et al.   PSYCHOMETRIKA

lavaan: AnRPackage for Structural Equation Modeling

(2015) Yves Rosseel   Journal of Statistical Software

Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis

(2013) Jenn-Yun Tein et al.   STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL

Multiple Testing for Exploratory Research

(2012) Jelle J. Goeman et al.   STATISTICAL SCIENCE

Tests of Homoscedasticity, Normality, and Missing Completely at Random for Incomplete Multivariate Data

(2010) Mortaza Jamshidian et al.   PSYCHOMETRIKA