Jessica Schaaf
Jessica Schaaf
Radboud UMC
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Cited by
Cited by
Uncertainty-driven regulation of learning and exploration in adolescents: A computational account
M Jepma, JV Schaaf, I Visser, HM Huizenga
PLoS computational biology 16 (9), e1008276, 2020
Attachment representations in children with and without attention-deficit/hyperactivity disorder (ADHD)
TJ Dekkers, R Hornstra, BJ van den Hoofdakker, SRC de Jong, JV Schaaf, ...
Brain sciences 11 (11), 1516, 2021
A hierarchical Bayesian approach to assess learning and guessing strategies in reinforcement learning
JV Schaaf, M Jepma, I Visser, HM Huizenga
Journal of Mathematical Psychology 93, 102276, 2019
Network models to organize a dispersed literature: the case of misunderstanding analysis of covariance
K Derks, J Burger, J van Doorn, JJ Kossakowski, D Matzke, L Atticciati, ...
Journal of European Psychology Students 9 (1), 2018
Impaired learning to dissociate advantageous and disadvantageous risky choices in adolescents
M Jepma, JV Schaaf, I Visser, HM Huizenga
Scientific Reports 12 (1), 6490, 2022
Effects of advice on experienced-based learning in adolescents and adults
M Jepma, JV Schaaf, I Visser, HM Huizenga
Journal of Experimental Child Psychology 211, 105230, 2021
Test-retest reliability of reinforcement learning parameters
JV Schaaf, L Weidinger, L Molleman, W Van den Bos
Behavior Research Methods, 2023
Development of decision making based on internal and external information: A hierarchical Bayesian approach
JN Zadelaar, JAA van Rentergem, JV Schaaf, TJ Dekkers, N de Vent, ...
Judgment and Decision Making 16 (6), 1413-1438, 2021
How much do you want to learn? High-school students' willingness to invest effort in valenced feedback-learning tasks
AW Kramer, JV Schaaf, HM Huizenga
Learning and Individual Differences 108, 102375, 2023
Learning how we learn: Feedback-learning models to understand development
JV Schaaf
Why does the marshmallow test predict later life outcomes? A commentary on Michaelson and Munakata (2020)
HM Huizenga, JV Schaaf, M Jepma
PsyArXiv, 2022
(Mal)Adaptive learning after switches between object-based and rule-based environments
JV Schaaf, B Xu, M Jepma, I Visser, HM Huizenga
Computational Brain & Behavior, 1-11, 2022
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