Dylan Molenaar
- A generalized linear factor model approach to the hierarchical framework for responses and response times
2014/08/11 by Dylan Molenaar, Francis Tuerlinckx, Han L. J. van der Maas · 7 citations
Decision Sciences · Mathematics · Computer Science · #Psychometric Methodologies and Testing #Statistical Methods and Bayesian Inference #Advanced Statistical Modeling Techniques
- A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times
2015/01/02 by Dylan Molenaar, Francis Tuerlinckx, Han L. J. van der Maas · 6 citations
Decision Sciences · Psychology · #Psychometric Methodologies and Testing #Cognitive Abilities and Testing #Mental Health Research Topics
- Hidden Markov Item Response Theory Models for Responses and Response Times
2016/08/11 by Dylan Molenaar, Daniel L. Oberski, Daniel Oberski +3 · 5 citations
Decision Sciences · Psychology · Computer Science · #Psychometric Methodologies and Testing #Cognitive Abilities and Testing #Advanced Statistical Modeling Techniques
- Methods to split cognitive task data for estimating split-half reliability: A comprehensive review and systematic assessment
2021/06/07 by Thomas Pronk, Dylan Molenaar, Reinout W. Wiers +3 · 4 citations
Decision Sciences · Health Professions · Psychology · #Human-Automation Interaction and Safety #Occupational Health and Safety Research #Risk and Safety Analysis
- Response moderation models for conditional dependence between response time and response accuracy
2016/09/12 by Maria Bolsinova, Jesper Tijmstra, Dylan Molenaar · 2 citations
Decision Sciences · Psychology · Computer Science · #Psychometric Methodologies and Testing #Mental Health Research Topics #Advanced Statistical Modeling Techniques
- Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times
2018/02/01 by Dylan Molenaar, Paul De Boeck, Paul de Boeck · 1 citation
Computer Science · Decision Sciences · #Advanced Statistical Modeling Techniques #Psychometric Methodologies and Testing #Optimal Experimental Design Methods