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Maria Bolsinova

Showing results (11-20 of 31) with videos related to

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Applied Psychological Measurement|March 5, 2025
Modeling Within- and Between-Person Differences in the Use of the Middle Category in Likert ScalesJesper Tijmstra, Maria Bolsinova
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
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
Behavior Research Methods|January 12, 2018
General mixture item response models with different item response structures: Exposition with an application to Likert scalesJesper Tijmstra, Maria Bolsinova, Minjeong Jeon
Behavior Research Methods|March 30, 2019
A heteroscedastic hidden Markov mixture model for responses and categorized response timesDylan Molenaar, Sandor Rózsa, Maria Bolsinova
Applied Psychological Measurement|September 16, 2025
Distinguishing Between Models for Extreme and Midpoint Response Styles as Opposite Poles of a Single Dimension versus Two Separate Dimensions: A Simulation StudyMartijn Schoenmakers, Maria Bolsinova, Jesper Tijmstra
Psychometrika|October 15, 2016
Modelling Conditional Dependence Between Response Time and AccuracyMaria Bolsinova, Paul de Boeck, Jesper Tijmstra
Frontiers in Psychology|October 15, 2019
What Technology Can and Cannot Do to Support Assessment of Non-cognitive SkillsVanessa R Simmering, Lu Ou, Maria Bolsinova
Educational and Psychological Measurement|April 13, 2026
How Extreme Is It Anyways?: An Empirical Investigation Into the Prevalence and Strength of Extreme Response StyleMartijn Schoenmakers, Jesper Tijmstra, Jeroen Kornelis Vermunt, et al.
Frontiers in Psychology|January 4, 2021
A Rasch Model and Rating System for Continuous Responses Collected in Large-Scale Learning SystemsBenjamin Deonovic, Maria Bolsinova, Timo Bechger, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Applied Psychological Measurement|March 5, 2025
Modeling Within- and Between-Person Differences in the Use of the Middle Category in Likert ScalesJesper Tijmstra, Maria Bolsinova
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
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
Behavior Research Methods|January 12, 2018
General mixture item response models with different item response structures: Exposition with an application to Likert scalesJesper Tijmstra, Maria Bolsinova, Minjeong Jeon
Behavior Research Methods|March 30, 2019
A heteroscedastic hidden Markov mixture model for responses and categorized response timesDylan Molenaar, Sandor Rózsa, Maria Bolsinova
Applied Psychological Measurement|September 16, 2025
Distinguishing Between Models for Extreme and Midpoint Response Styles as Opposite Poles of a Single Dimension versus Two Separate Dimensions: A Simulation StudyMartijn Schoenmakers, Maria Bolsinova, Jesper Tijmstra
Psychometrika|October 15, 2016
Modelling Conditional Dependence Between Response Time and AccuracyMaria Bolsinova, Paul de Boeck, Jesper Tijmstra
Frontiers in Psychology|October 15, 2019
What Technology Can and Cannot Do to Support Assessment of Non-cognitive SkillsVanessa R Simmering, Lu Ou, Maria Bolsinova
Educational and Psychological Measurement|April 13, 2026
How Extreme Is It Anyways?: An Empirical Investigation Into the Prevalence and Strength of Extreme Response StyleMartijn Schoenmakers, Jesper Tijmstra, Jeroen Kornelis Vermunt, et al.
Frontiers in Psychology|January 4, 2021
A Rasch Model and Rating System for Continuous Responses Collected in Large-Scale Learning SystemsBenjamin Deonovic, Maria Bolsinova, Timo Bechger, et al.
Pageof 4