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Daniel L. Oberski · SciRah

Researcher profile · Semantic Scholar

Daniel L. Oberski

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Daniel L. Oberski — researcher profile on SciRah

h-index: 28
Works: 104
Citations: 3,974

Most-cited papers

Mixture Models: Latent Profile and Latent Class Analysis
Daniel L. Oberski
2016560 citations
Semantic Scholar
lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models
Daniel L. Oberski
2014439 citations Open access
Semantic Scholar
Elevation alters ecosystem properties across temperate treelines globally
Jordan R. Mayor, N. Sanders, A. Classen, R. Bardgett +12 more
2017Nature282 citations Open access
Semantic Scholar
Big Five Personality Stability, Change, and Codevelopment Across Adolescence and Early Adulthood
Jeroen Borghuis, Jaap J. A. Denissen, Daniel L. Oberski, K. Sijtsma +4 more
2017Journal of Personality and Social Psychology224 citations Open access
Semantic Scholar
Personality and Political Participation: The Mediation Hypothesis
A. Gallego, Daniel L. Oberski
2012221 citations
Semantic Scholar
Shrinkage priors for Bayesian penalized regression
S. van Erp, Daniel L. Oberski, J. Mulder
2018Journal of Mathematical Psychology214 citations Open access
Semantic Scholar
Enhancing psychological capital and personal growth initiative: working on strengths or deficiencies.
M. Meyers, M. van Woerkom, R. de Reuver, Z. Bakk +1 more
2015Journal of counseling and psychology135 citations
Semantic Scholar
Relating Latent Class Assignments to External Variables: Standard Errors for Correct Inference
Z. Bakk, Daniel L. Oberski, J. Vermunt
2014Political Analysis127 citations
Semantic Scholar
Prior Sensitivity Analysis in Default Bayesian Structural Equation Modeling
S. van Erp, J. Mulder, Daniel L. Oberski
2017Psychological methods122 citations Open access
Semantic Scholar
Can’t see the wood for the trees? An assessment of street view- and satellite-derived greenness measures in relation to mental health
M. Helbich, R. Poppe, Daniel L. Oberski, M. J. Z. V. Emmichoven +1 more
2021109 citations Open access
Semantic Scholar
Human Data Science
Daniel L. Oberski
2020Patterns95 citations Open access
Semantic Scholar
Evaluating Sensitivity of Parameters of Interest to Measurement Invariance in Latent Variable Models
Daniel L. Oberski
2014Political Analysis92 citations Open access
Semantic Scholar
A framework for privacy preserving digital trace data collection through data donation
L. Boeschoten, J. Ausloos, J. Möller, Theo B. Araujo +1 more
2022Computational Communication Research90 citations Open access
Semantic Scholar
Places and Preferences: A Longitudinal Analysis of Self-Selection and Contextual Effects
A. Gallego, Franz Buscha, P. Sturgis, Daniel L. Oberski
2014British Journal of Political Science75 citations Open access
Semantic Scholar
Identification of predicted individual treatment effects in randomized clinical trials
Andrea E. Lamont, Michael D. Lyons, T. Jaki, E. Stuart +6 more
2018Statistical Methods in Medical Research72 citations Open access
Semantic Scholar
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
Daniel L. Oberski, Geert H. van Kollenburg, J. Vermunt
2013Advances in Data Analysis and Classification70 citations
Semantic Scholar
Why Measurement Invariance is Important in Comparative Research. A Response to Welzel et al. (2021)
B. Meuleman, Tomasz Żółtak, A. Pokropek, E. Davidov +4 more
2022Sociological Methods & Research65 citations Open access
Semantic Scholar
Hidden Markov Item Response Theory Models for Responses and Response Times
D. Molenaar, Daniel L. Oberski, J. Vermunt, P. De Boeck
2016Multivariate Behavioral Research63 citations Open access
Semantic Scholar
The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers
Anastasia Giachanou, Bilal Ghanem, E. A. Ríssola, Paolo Rosso +2 more
2021Data & Knowledge Engineering57 citations Open access
Semantic Scholar
Bias-Adjusted Three-Step Latent Markov Modeling With Covariates
Roberto Di Mari, Daniel L. Oberski, J. Vermunt
201657 citations Open access
Semantic Scholar
Measurement Error Models With Uncertainty About the Error Variance
Daniel L. Oberski, A. Satorra
201351 citations
Semantic Scholar
Beyond the number of classes: separating substantive from non-substantive dependence in latent class analysis
Daniel L. Oberski
2015Advances in Data Analysis and Classification47 citations Open access
Semantic Scholar
Exploratory Mediation Analysis with Many Potential Mediators
E. van Kesteren, Daniel L. Oberski
2018Structural Equation Modeling: A Multidisciplinary Journal46 citations Open access
Semantic Scholar
Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models
Daniel L. Oberski, Antje Kirchner, Stephanie Eckman, Frauke Kreuter
201546 citations Open access
Semantic Scholar
Differential Privacy and Social Science: An Urgent Puzzle
Daniel L. Oberski, Frauke Kreuter
20202.145 citations Open access
Semantic Scholar
Relating Latent Class Membership to Continuous Distal Outcomes: Improving the LTB Approach and a Modified Three-Step Implementation
Z. Bakk, Daniel L. Oberski, J. Vermunt
201644 citations
Semantic Scholar
The development of the program SQP 2.0 for the prediction of the quality of survey questions
W. Saris, Daniel L. Oberski, M. Revilla, Diana Zavala-Rojas +3 more
201139 citations
Semantic Scholar
Issues in the Structural Equation Modeling of Complex Survey Data
K. Bollen, Stephen J. Tueller, Daniel L. Oberski
201338 citations
Semantic Scholar
Flexible Extensions to Structural Equation Models Using Computation Graphs
E. van Kesteren, Daniel L. Oberski
2021Structural Equation Modeling: A Multidisciplinary Journal22 citations Open access
Semantic Scholar
Estimating Classification Errors Under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC)
L. Boeschoten, Daniel L. Oberski, T. de Waal
201720 citations Open access
Semantic Scholar
Goodness-of-fit of Multilevel Latent Class Models for Categorical Data
Erwin Nagelkerke, Daniel L. Oberski, J. Vermunt
201620 citations
Semantic Scholar
Evaluating Measurement Invariance in Categorical Data Latent Variable Models with the EPC-Interest
Daniel L. Oberski, J. Vermunt, G. Moors
2015Political Analysis20 citations
Semantic Scholar
Automated decision-making fairness in an AI-driven world: Public perceptions, hopes and concerns
Theo B. Araujo, Claes H. de Vreese, N. Helberger, S. Kruikemeier +6 more
201818 citations
Semantic Scholar
Understanding Society Innovation Panel Wave 9: results from methodological experiments
A. Gaia, M. Benzeval, A. Bianchi, Mike Brewer +13 more
201718 citations
Semantic Scholar
testing for measurement invariance by detecting local misspecification and an illustration across online and paper-and-pencil samples
J. Cieciuch, E. Davidov, Daniel L. Oberski, R. Algesheimer
201517 citations
Semantic Scholar
The latent class multitrait-multimethod model.
Daniel L. Oberski, J. Hagenaars, W. Saris
2015Psychological methods15 citations
Semantic Scholar
Approximate Measurement Invariance
K. Lek, Daniel L. Oberski, E. Davidov, J. Cieciuch +2 more
2018Advances in Comparative Survey Methods14 citations Open access
Semantic Scholar
Power and Type I Error of Local Fit Statistics in Multilevel Latent Class Analysis
Erwin Nagelkerke, Daniel L. Oberski, J. Vermunt
2016Structural Equation Modeling: A Multidisciplinary Journal14 citations Open access
Semantic Scholar
Understanding Society Innovation Panel Wave 8: results from methodological experiments
Mathew J. Creighton, J. Dykema, A. Gaia, A. Cernat +9 more
201614 citations
Semantic Scholar
A permutation test for assessing the presence of individual differences in treatment effects
Chi Chang, T. Jaki, M. S. Sadiq, Alena Kuhlemeier +6 more
2019Statistical Methods in Medical Research13 citations Open access
Semantic Scholar
Reconciliation of inconsistent data sources by correction for measurement error: The feasibility of parameter re-use
Paulina K. Pankowska, B. Bakker, Daniel L. Oberski, D. Pavlopoulos
2017Statistical Journal of the IAOS13 citations Open access
Semantic Scholar
Jrule for Mplus: A program for post-hoc power evaluation of structural equation models estimated by Mplus
Daniel L. Oberski
200913 citations
Semantic Scholar
Estimating error rates in an administrative register and survey questions using a latent class model
Daniel L. Oberski
201512 citations
Semantic Scholar
Bayesian multivariate control charts for multivariate profiles monitoring
Ahmad Ahmadi Yazdi, Mahdi Shafiee Kamalabad, Daniel L. Oberski, M. Grzegorczyk
2023Quality Technology & Quantitative Management11 citations
Semantic Scholar
Markov Response Models 1 RUNNING HEAD : Markov Response Models Hidden Markov IRT Models for Responses and Response Times
D. Molenaar, Daniel L. Oberski, J. Vermunt, P. De Boeck
201611 citations
Semantic Scholar
Updating Latent Class Imputations with External Auxiliary Variables
L. Boeschoten, Daniel L. Oberski, T. Waal, J. Vermunt
201810 citations Open access
Semantic Scholar
A Review of Latent Variable Modeling With R
Daniel L. Oberski
201610 citations
Semantic Scholar
A Model-Based Approach to Goodness-of-Fit Evaluation in Item Response Theory
Daniel L. Oberski, J. Vermunt
201310 citations
Semantic Scholar
Problems in detecting misfit of latent class models in diagnostic research without a gold standard were shown.
M. van Smeden, Daniel L. Oberski, J. Reitsma, J. Vermunt +2 more
2016Journal of Clinical Epidemiology9 citations Open access
Semantic Scholar
Estimating classification error under edit restrictions in combined survey-register data
L. Boeschoten, Daniel L. Oberski, A. Waal
20169 citations
Semantic Scholar

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