Volume 59, Issue 5, 2024
1. Determining Sample Size Requirements in EFA Solutions: A Simple Empirical Proposal
Urbano Lorenzo-Seva & Pere J. Ferrando
2. Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian
Methods Nikola Sekulovski, Sara Keetelaar, Karoline Huth, Eric-Jan Wagenmakers, Riet van Bork, Don van den Bergh & Maarten Marsman
3. Multilevel Latent Differential Structural Equation Model with Short Time Series and Time-Varying Covariates: A Comparison of Frequentist and Bayesian Estimators
Young Won Cho, Sy-Miin Chow, Christina M. Marini & Lynn M. Martire
4. Beyond Pearson’s Correlation: Modern Nonparametric Independence Tests for Psychological Research
Julian D. Karch, Andres F. Perez-Alonso & Wicher P. Bergsma
5. Linear Mixed-Effects Models for Dependent Data: Power and Accuracy in Parameter Estimation
Yue Liu, Kit-Tai Hau & Hongyun Liu
6. Parametric g-formula for Testing Time-Varying Causal Effects: What It Is, Why It Matters, and How to Implement It in Lavaan
Wen Wei Loh, Dongning Ren & Stephen G. West
7. Path and Direction Discovery in Individual Dynamic Factor Models: A Regularized Hybrid Unified Structural Equation Modeling with Latent Variable
Ai Ye & Kenneth A. Bollen
8. The Effects of Questionnaire Length on the Relative Impact of Response Styles in Ambulatory Assessment
Kilian Hasselhorn, Charlotte Ottenstein, Thorsten Meiser & Tanja Lischetzke
9. An Exact Bayesian Model for Meta-Analysis of the Standardized Mean Difference with Its Simultaneous Credible Intervals
Yonggang Lu, Qiujie Zheng & Kevin Henning
10. Using Conditional Entropy Networks of Ordinal Measures to Examine Changes in Self-Worth Among Adolescent Students in High School
Emanuela Furfaro, Fushing Hsieh, Maureen R. Weiss & Emilio Ferrer
11. Multilevel Semiparametric Latent Variable Modeling in R with “galamm”
Øystein Sørensen