Daniel L. Oberski
Daniel L. Oberski
Utrecht University / University Medical Center Utrecht, The Netherlands
Verified email at uu.nl - Homepage
Cited by
Cited by
lavaan. survey: An R package for complex survey analysis of structural equation models
D Oberski
Journal of statistical software 57 (1), 1-27, 2014
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, ...
Personality and political participation: The mediation hypothesis
A Gallego, D Oberski
Political behavior 34 (3), 425-451, 2012
Elevation alters ecosystem properties across temperate treelines globally
JR Mayor, NJ Sanders, AT Classen, RD Bardgett, JC Clément, 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, 520-540, 2014
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
Evaluating sensitivity of parameters of interest to measurement invariance in latent variable models
DL Oberski
Political analysis, 45-60, 2014
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
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
Prior sensitivity analysis in default Bayesian structural equation modeling.
S Van Erp, J Mulder, DL Oberski
Psychological Methods 23 (2), 363, 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, MA 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
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
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis
DL Oberski
Advances in Data Analysis and Classification 10 (2), 171-182, 2016
Relating latent class membership to continuous distal outcomes: Improving the LTB approach and a modified three-step implementation
Z Bakk, DL Oberski, JK Vermunt
Structural Equation Modeling: A Multidisciplinary Journal 23 (2), 278-289, 2016
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