Daniel L. Oberski
Daniel L. Oberski
Utrecht University / University Medical Center Utrecht, The Netherlands
在 uu.nl 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Mixture models: Latent profile and latent class analysis
D Oberski
Modern statistical methods for HCI, 275-287, 2016
3312016
Lavaan: latent variable analysis
Y Rosseel, D Oberski, J Byrnes, L Vanbrabant, V Savalei, E Merkle, ...
307*2014
lavaan. survey: An R package for complex survey analysis of structural equation models
D Oberski
Journal of statistical software 57 (1), 1-27, 2014
2952014
Personality and political participation: The mediation hypothesis
A Gallego, D Oberski
Political behavior 34 (3), 425-451, 2012
1962012
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
1332017
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
1322017
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
1052015
Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference.
Z Bakk, DL Oberski, JK Vermunt
Political analysis 22 (4), 2014
982014
Evaluating sensitivity of parameters of interest to measurement invariance in latent variable models
DL Oberski
Political analysis 22 (1), 45-60, 2014
882014
Prior sensitivity analysis in default Bayesian structural equation modeling.
S Van Erp, J Mulder, DL Oberski
Psychological Methods 23 (2), 363, 2018
632018
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
602016
Shrinkage priors for Bayesian penalized regression
S Van Erp, DL Oberski, J Mulder
Journal of Mathematical Psychology 89, 31-50, 2019
572019
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
522013
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
482013
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
472016
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
442018
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
442017
Measurement error models with uncertainty about the error variance
DL Oberski, A Satorra
Structural Equation Modeling: A Multidisciplinary Journal 20 (3), 409-428, 2013
432013
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, ...
42*2011
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
362016
系統目前無法執行作業,請稍後再試。
文章 1–20