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Dylan Molenaar

Showing results (11-20 of 42) with videos related to

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Psychometrika|May 7, 2026
Estimating Discrete Latent Variable Models Using Amortized Variational InferenceKarel Veldkamp, Raoul Grasman, Dylan Molenaar
Behavior Research Methods|March 30, 2019
A heteroscedastic hidden Markov mixture model for responses and categorized response timesDylan Molenaar, Sandor Rózsa, Maria Bolsinova
Psychometrika|May 12, 2023
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric DataInhan Kang, Dylan Molenaar, Roger Ratcliff
Applied Psychological Measurement|May 6, 2021
Modeling Asymmetry in the Time-Distance Relation of Ordinal Personality ItemsDylan Molenaar, Sandor Rózsa, Natasa Kõ
Multivariate Behavioral Research|January 23, 2026
Multiple Imputation of Missing Data in Moderated Factor AnalysisJoost R van Ginkel, Dylan Molenaar
The British Journal of Mathematical and Statistical Psychology|October 26, 2024
Handling missing data in variational autoencoder based item response theoryKarel Veldkamp, Raoul Grasman, Dylan Molenaar
Psychometrika|June 20, 2023
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric DataInhan Kang, Dylan Molenaar, Roger Ratcliff
The British Journal of Mathematical and Statistical Psychology|September 13, 2016
Response moderation models for conditional dependence between response time and response accuracyMaria Bolsinova, Jesper Tijmstra, Dylan Molenaar
The British Journal of Mathematical and Statistical Psychology|October 19, 2017
A semi-parametric within-subject mixture approach to the analyses of responses and response timesDylan Molenaar, Maria Bolsinova, Jeroen K Vermunt
Journal of Personality Assessment|November 10, 2015
When Middle Really Means "Top" or "Bottom": An Analysis of the 16PF5 Using Bock's Nominal Response ModelAja Louise Murray, Tom Booth, Dylan Molenaar
Pageof 5

Showing results (11-20 of 42) with videos related to

Sort By:
Pageof 5
Psychometrika|May 7, 2026
Estimating Discrete Latent Variable Models Using Amortized Variational InferenceKarel Veldkamp, Raoul Grasman, Dylan Molenaar
Behavior Research Methods|March 30, 2019
A heteroscedastic hidden Markov mixture model for responses and categorized response timesDylan Molenaar, Sandor Rózsa, Maria Bolsinova
Psychometrika|May 12, 2023
A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric DataInhan Kang, Dylan Molenaar, Roger Ratcliff
Applied Psychological Measurement|May 6, 2021
Modeling Asymmetry in the Time-Distance Relation of Ordinal Personality ItemsDylan Molenaar, Sandor Rózsa, Natasa Kõ
Multivariate Behavioral Research|January 23, 2026
Multiple Imputation of Missing Data in Moderated Factor AnalysisJoost R van Ginkel, Dylan Molenaar
The British Journal of Mathematical and Statistical Psychology|October 26, 2024
Handling missing data in variational autoencoder based item response theoryKarel Veldkamp, Raoul Grasman, Dylan Molenaar
Psychometrika|June 20, 2023
Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric DataInhan Kang, Dylan Molenaar, Roger Ratcliff
The British Journal of Mathematical and Statistical Psychology|September 13, 2016
Response moderation models for conditional dependence between response time and response accuracyMaria Bolsinova, Jesper Tijmstra, Dylan Molenaar
The British Journal of Mathematical and Statistical Psychology|October 19, 2017
A semi-parametric within-subject mixture approach to the analyses of responses and response timesDylan Molenaar, Maria Bolsinova, Jeroen K Vermunt
Journal of Personality Assessment|November 10, 2015
When Middle Really Means "Top" or "Bottom": An Analysis of the 16PF5 Using Bock's Nominal Response ModelAja Louise Murray, Tom Booth, Dylan Molenaar
Pageof 5