Daniel L. Oberski
Daniel L. Oberski
Utrecht University / University Medical Center Utrecht, The Netherlands
Verified email at - Homepage
Cited by
Cited by
Mixture models: Latent profile and latent class analysis
D Oberski
Modern statistical methods for HCI, 275-287, 2016
Lavaan: latent variable analysis
Y Rosseel, D Oberski, J Byrnes, L Vanbrabant, V Savalei, E Merkle, ...
lavaan. survey: An R package for complex survey analysis of structural equation models
D Oberski
Journal of statistical software 57, 1-27, 2014
Personality and political participation: The mediation hypothesis
A Gallego, D Oberski
Political behavior 34 (3), 425-451, 2012
Big Five personality stability, change, and codevelopment across adolescence and early adulthood.
J Borghuis, JJA Denissen, D Oberski, K Sijtsma, WHJ Meeus, S Branje, ...
Journal of Personality and Social Psychology 113 (4), 641, 2017
Elevation alters ecosystem properties across temperate treelines globally
JR Mayor, NJ Sanders, AT Classen, RD Bardgett, JC Clement, A Fajardo, ...
Nature 542 (7639), 91-95, 2017
Enhancing psychological capital and personal growth initiative: Working on strengths or deficiencies.
MC Meyers, M van Woerkom, RSM de Reuver, Z Bakk, DL Oberski
Journal of counseling psychology 62 (1), 50, 2015
Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference.
Z Bakk, DL Oberski, JK Vermunt
Political analysis 22 (4), 2014
Evaluating sensitivity of parameters of interest to measurement invariance in latent variable models
DL Oberski
Political analysis 22 (1), 45-60, 2014
Shrinkage priors for Bayesian penalized regression
S Van Erp, DL Oberski, J Mulder
Journal of Mathematical Psychology 89, 31-50, 2019
Prior sensitivity analysis in default Bayesian structural equation modeling.
S Van Erp, J Mulder, DL Oberski
Psychological Methods 23 (2), 363, 2018
Places and preferences: A longitudinal analysis of self-selection and contextual effects
A Gallego, F Buscha, P Sturgis, D Oberski
British Journal of Political Science 46 (3), 529-550, 2016
An open source machine learning framework for efficient and transparent systematic reviews
R van de Schoot, J de Bruin, R Schram, P Zahedi, J de Boer, F Weijdema, ...
Nature Machine Intelligence 3 (2), 125-133, 2021
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
DL Oberski, GH van Kollenburg, JK Vermunt
Advances in Data Analysis and Classification 7 (3), 267-279, 2013
Hidden Markov item response theory models for responses and response times
D Molenaar, D Oberski, J Vermunt, P De Boeck
Multivariate behavioral research 51 (5), 606-626, 2016
Identification of predicted individual treatment effects in randomized clinical trials
A Lamont, MD Lyons, T Jaki, E Stuart, DJ Feaster, K Tharmaratnam, ...
Statistical methods in medical research 27 (1), 142-157, 2018
Issues in the structural equation modeling of complex survey data
KA Bollen, SJ Tueller, D Oberski
Proceedings of the 59th World Statistics Congress, 2013, 2013
The development of the program SQP 2.0 for the prediction of the quality of survey questions
WE Saris, DL Oberski, M Revilla, D Zavala-Rojas, L Lilleoja, IN Gallhofer, ...
Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models
DL Oberski, A Kirchner, S Eckman, F Kreuter
Journal of the American Statistical Association 112 (520), 1477-1489, 2017
Measurement error models with uncertainty about the error variance
DL Oberski, A Satorra
Structural Equation Modeling: A Multidisciplinary Journal 20 (3), 409-428, 2013
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