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Maria Bolsinova

Showing results (21-30 of 31) with videos related to

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Educational and Psychological Measurement|January 22, 2024
Correcting for Extreme Response Style: Model Choice MattersMartijn Schoenmakers, Jesper Tijmstra, Jeroen Vermunt, et al.
The British Journal of Mathematical and Statistical Psychology|June 6, 2025
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratingsMaria Bolsinova, Bence Gergely, Matthieu J S Brinkhuis
Behavior Research Methods|July 27, 2025
Posterior predictive checks for the detection of extreme response styleMartijn Schoenmakers, Jesper Tijmstra, Jeroen Vermunt, et al.
Frontiers in Psychology|March 7, 2017
Conditional Dependence between Response Time and Accuracy: An Overview of its Possible Sources and Directions for Distinguishing between ThemMaria Bolsinova, Jesper Tijmstra, Dylan Molenaar, et al.
Psychological Methods|April 4, 2017
Using expert knowledge for test linkingMaria Bolsinova, Herbert Hoijtink, Jorine Adinda Vermeulen, et al.
Frontiers in Psychology|April 5, 2021
Improving the Precision of Ability Estimates Using Time-On-Task Variables: Insights From the PISA 2012 Computer-Based Assessment of MathematicsDenise Reis Costa, Maria Bolsinova, Jesper Tijmstra, et al.
The British Journal of Mathematical and Statistical Psychology|June 6, 2022
Tracking a multitude of abilities as they developMaria Bolsinova, Matthieu J S Brinkhuis, Abe D Hofman, et al.
Applied Psychological Measurement|May 9, 2022
Measurement of Ability in Adaptive Learning and Assessment Systems when Learners Use On-Demand HintsMaria Bolsinova, Benjamin Deonovic, Meirav Arieli-Attali, et al.
Scientific Reports|October 2, 2020
Deviations of rational choice: an integrative explanation of the endowment and several context effectsJoost Kruis, Gunter Maris, Maarten Marsman, et al.
User Modeling and User-Adapted Interaction|December 10, 2025
Balancing stability and flexibility: investigating a dynamic <i>K</i> value approach for the Elo rating system in adaptive learning environmentsHanke Vermeiren, Abe D Hofman, Maria Bolsinova, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
Educational and Psychological Measurement|January 22, 2024
Correcting for Extreme Response Style: Model Choice MattersMartijn Schoenmakers, Jesper Tijmstra, Jeroen Vermunt, et al.
The British Journal of Mathematical and Statistical Psychology|June 6, 2025
Keeping Elo alive: Evaluating and improving measurement properties of learning systems based on Elo ratingsMaria Bolsinova, Bence Gergely, Matthieu J S Brinkhuis
Behavior Research Methods|July 27, 2025
Posterior predictive checks for the detection of extreme response styleMartijn Schoenmakers, Jesper Tijmstra, Jeroen Vermunt, et al.
Frontiers in Psychology|March 7, 2017
Conditional Dependence between Response Time and Accuracy: An Overview of its Possible Sources and Directions for Distinguishing between ThemMaria Bolsinova, Jesper Tijmstra, Dylan Molenaar, et al.
Psychological Methods|April 4, 2017
Using expert knowledge for test linkingMaria Bolsinova, Herbert Hoijtink, Jorine Adinda Vermeulen, et al.
Frontiers in Psychology|April 5, 2021
Improving the Precision of Ability Estimates Using Time-On-Task Variables: Insights From the PISA 2012 Computer-Based Assessment of MathematicsDenise Reis Costa, Maria Bolsinova, Jesper Tijmstra, et al.
The British Journal of Mathematical and Statistical Psychology|June 6, 2022
Tracking a multitude of abilities as they developMaria Bolsinova, Matthieu J S Brinkhuis, Abe D Hofman, et al.
Applied Psychological Measurement|May 9, 2022
Measurement of Ability in Adaptive Learning and Assessment Systems when Learners Use On-Demand HintsMaria Bolsinova, Benjamin Deonovic, Meirav Arieli-Attali, et al.
Scientific Reports|October 2, 2020
Deviations of rational choice: an integrative explanation of the endowment and several context effectsJoost Kruis, Gunter Maris, Maarten Marsman, et al.
User Modeling and User-Adapted Interaction|December 10, 2025
Balancing stability and flexibility: investigating a dynamic <i>K</i> value approach for the Elo rating system in adaptive learning environmentsHanke Vermeiren, Abe D Hofman, Maria Bolsinova, et al.
Pageof 4