Daniel L. Oberski

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Jeroen K VermuntProfessor of Methodology and Statistics, Tilburg UniversityVerified email at uvt.nl
Willem Egbert SarisEmeritus University of Amsterdam Universitat Pompeu FabraVerified email at upf.edu
Zsuzsa BakkLeiden UniversityVerified email at fsw.leidenuniv.nl
Laura BoeschotenPostdoc, Utrecht UniversityVerified email at uu.nl
Paulina PankowskaVrije Universiteit AmsterdamVerified email at vu.nl
Ayoub BagheriAssistant Professor, Utrecht UniversityVerified email at uu.nl
Jarrett E. K. Byrnes {he/him}University of Massachusetts BostonVerified email at umb.edu
Yves RosseelProfessor of Data Analysis, Ghent UniversityVerified email at UGent.be
Dimitris PavlopoulosAssociate Professor, Vrije Universiteit AmsterdamVerified email at vu.nl
Erik-Jan van KesterenAssistant Professor Applied Data Science, Utrecht UniversityVerified email at uu.nl
Aina GallegoUniversitat de BarcelonaVerified email at ub.edu
Alexandru CernatSocial Statistics, University of ManchesterVerified email at manchester.ac.uk
Klaas SijtsmaVerified email at tilburguniversity.edu
Jaap DenissenUtrecht UniversityVerified email at uu.nl
Jeroen BorghuisVerified email at tilburguniversity.edu
Sara van ErpUtrecht UniversityVerified email at uu.nl
Joris MulderAssociate Professor, Tilburg UniversityVerified email at uvt.nl
Frauke KreuterProfessor of Survey Methodology, University of MarylandVerified email at umd.edu
jacques a. hagenaarsprofessor emeritus tilburg univeristyVerified email at uvt.nl
Melanie RevillaUniversitat Pompeu FabraVerified email at upf.edu

Daniel L. Oberski

Utrecht University / University Medical Center Utrecht, The Netherlands

Verified email at uu.nl - Homepage

Latent variable modeling structural equation modeling measurement error model-based clustering high-dimensional data


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mixture models: Latent profile and latent class analysis D Oberski Modern statistical methods for HCI, 275-287, 2016	296	2016
lavaan. survey: An R package for complex survey analysis of structural equation models D Oberski Journal of statistical software 57 (1), 1-27, 2014	285	2014
Lavaan: latent variable analysis Y Rosseel, D Oberski, J Byrnes, L Vanbrabant, V Savalei, E Merkle, ...	283*	2014
Personality and political participation: The mediation hypothesis A Gallego, D Oberski Political behavior 34 (3), 425-451, 2012	189	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	122	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	122	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	100	2015
Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference. Z Bakk, DL Oberski, JK Vermunt Political analysis 22 (4), 2014	96	2014
Evaluating sensitivity of parameters of interest to measurement invariance in latent variable models DL Oberski Political analysis 22 (1), 45-60, 2014	86	2014
Prior sensitivity analysis in default Bayesian structural equation modeling. S Van Erp, J Mulder, DL Oberski Psychological Methods 23 (2), 363, 2018	57	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	56	2016
Shrinkage priors for Bayesian penalized regression S Van Erp, DL Oberski, J Mulder Journal of Mathematical Psychology 89, 31-50, 2019	51	2019
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	50	2013
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	44	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	43	2016
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	41	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	41	2013
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	40	2018
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, ...	40*	2011
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	36	2016

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