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Sara van Erp
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Year
Shrinkage Priors for Bayesian Penalized Regression
S van Erp, DL Oberski, J Mulder
https://osf.io/4gr6z/, 0
196*
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
1712017
Estimates of between-study heterogeneity for 705 meta-analyses reported in Psychological Bulletin from 1990-2013
SJ Van Erp, J Verhagen, RPPP Grasman, EJ Wagenmakers
Journal of Open Psychology Data 5 (1), 2017
1352017
Prior sensitivity analysis in default Bayesian structural equation modeling.
S Van Erp, J Mulder, DL Oberski
Psychological Methods 23 (2), 363, 2018
1252018
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
10*2021
A tutorial on Bayesian penalized regression with shrinkage priors for small sample sizes
S van Erp
Small sample size solutions, 71-84, 2020
102020
Selecting relevant moderators with Bayesian regularized meta‐regression
CJ Van Lissa, S van Erp, EB Clapper
Research Synthesis Methods 14 (2), 301-322, 2023
62023
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
42023
Bayesian regularized SEM: Current capabilities and constraints
S van Erp
Psych 5 (3), 814-835, 2023
22023
Evaluating Empirical Evidence for Protective Factors: A Scoping Review on Resilience in Literacy
S Appels, S van Viersen, S van Erp, L Hornstra, E de Bree
OSF, 2023
2023
Bayesian structural equation modeling: The power of the prior
SJ van Erp
2020
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Articles 1–11