| Shrinkage Priors for Bayesian Penalized Regression S van Erp, DL Oberski, J Mulder https://osf.io/4gr6z/, 0 | 176* | |
| A Bayesian model-averaged meta-analysis of the power pose effect with informed and default priors: The case of felt power QF Gronau, S Van Erp, DW Heck, J Cesario, KJ Jonas, EJ Wagenmakers Comprehensive Results in Social Psychology 2 (1), 123-138, 2017 | 161 | 2017 |
| Estimates of Between-Study Heterogeneity for 705 Meta-Analyses Reported in Psychological Bulletin From 1990–2013 S Van Erp, J Verhagen, RPPP Grasman, EJ Wagenmakers Journal of Open Psychology Data 5 (1), 2017 | 121 | 2017 |
| Prior sensitivity analysis in default Bayesian structural equation modeling. S Van Erp, J Mulder, DL Oberski Psychological Methods 23 (2), 363, 2018 | 115 | 2018 |
| A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes S van Erp Small sample size solutions, 71-84, 2020 | 10 | 2020 |
| Bayesian multilevel structural equation modeling: An investigation into robust prior distributions for the doubly latent categorical model S Van Erp, WJ Browne Structural Equation Modeling: A Multidisciplinary Journal 28 (6), 875-893, 2021 | 7* | 2021 |
| Selecting relevant moderators with Bayesian regularized meta‐regression CJ Van Lissa, S van Erp, EB Clapper Research Synthesis Methods 14 (2), 301-322, 2023 | 5 | 2023 |
| The adaptive ability performance test (ADAPT): A factor analytic study in clients with intellectual disabilities F Jonker, P de Looff, S van Erp, H Nijman, R Didden Journal of Applied Research in Intellectual Disabilities 36 (1), 3-12, 2023 | 3 | 2023 |
| Bayesian regularized SEM: Current capabilities and constraints S van Erp Psych 5 (3), 814-835, 2023 | 2 | 2023 |
| Bayesian structural equation modeling: The power of the prior SJ van Erp | | 2020 |
