Appels, S., van Viersen, S., van Erp, S., Hornstra, L., & de Bree, E. (2024). A scoping review on word-reading resilience in literacy: Evaluating empirical evidence for protective factors. Learning and Instruction, 93, 101969. doi:10.1016/j.learninstruc.2024.101969.
Van Erp, S. (2023). Bayesian regularized SEM: Current capabilities and constraints. Psych, 5(3), 814-835. doi:10.3390/psych5030054. Code available here.
Van Lissa, C. J., Van Erp, S. & Clapper E-B. (2023). Selecting relevant moderators with Bayesian regularized meta-regression. Research Synthesis Methods, 14(2), 301-322. doi:10.1002/jrsm.1628. Corresponding R-package available from CRAN.
Jonker, F., de Looff, P., van Erp, S., Nijman, H., & Didden, R. (2023). The adaptive ability performance test (ADAPT): A factor analytic study in clients with intellectual disabilities. Journal of Applied Research in Intellectual Disabilities, 36( 1), 3–12. https://doi.org/10.1111/jar.13044
Van Erp, S. & Browne, W. J. (2021). Bayesian Multilevel Structural Equation Modeling: An Investigation into Robust Prior Distributions for the Doubly Latent Categorical Model. Structural Equation Modeling: A Multidisciplinary Journal, 28:6, 875-893. doi:10.1080/10705511.2021.1915146. Code available here.
Van Erp, S. (2020). Bayesian Structural Equation Modeling: The Power of the Prior. PhD-thesis.
van Erp, S. (2020). A Tutorial on Bayesian Penalized Regression with Shrinkage Priors for Small Sample Sizes. In R. Van de Schoot & M. Miočević (Eds.), Small Sample Size Solutions: A Guide for Applied Researchers and Practitioners. Routledge.
Van Erp, S., Oberski, D. L., & Mulder, J. (2019). Shrinkage Priors for Bayesian Penalized Regression. Journal of Mathematical Psychology, 89, 31-50. doi:10.1016/j.jmp.2018.12.004. Preprint and code available here. Corresponding R-package available here.
Van Erp, S., Mulder, J., & Oberski, D. L. (2018). Prior Sensitivity Analysis in Default Bayesian Structural Equation Modeling. Psychological Methods, 23(2), 363-388. doi:10.1037/met0000162. Preprint available here.
Van Erp, S., Verhagen, J., Grasman, R. P. P. P., & Wagenmakers, E.-J. (2017). Estimates of Between-Study Heterogeneity for 705 Meta-Analyses Reported in Psychological Bulletin From 1990-2013. Journal of Open Psychology Data, 5(1), 4. doi:10.5334/jopd.33. Preprint available here
Gronau, Q. F., Van Erp, S., Heck, D. W., Cesario, J., Jonas, K. J., & Wagenmakers, E.-J. (2017). A Bayesian model-averaged meta-analysis of the power pose effect with informed and default priors: the case of felt power. Comprehensive Results in Social Psychology, 2(1), 123–138. doi:10.1080/23743603.2017.1326760. Preprint available here