Gligorić, V., Tase, O., Fadhlia, T. N., Jin, Y. J., Mikalauskas, K., Tijusaite, A., Todorović, L., Vivanco Carlevari, A., Yuan, L., Schaaf, J. V., & National outgroup favoritism in non-WEIRD countries project (2025). Macro-Economic Inequality and National Stereotypes in 45 Non-Western Countries. Social Psychological and Personality Science. Advance online publication. https://doi.org/10.1177/1948550625137
Kramer, A. W., Krabbendam, L., Schaaf, J. V., Huizenga, H. M., & Van Duijvenvoorde, A. C. K. (2025). Make it worth it: Effort-reward modulations on reinforcement-learning and prediction-error signaling across adolescence. Developmental Cognitive Neuroscience, 73, Article 101559. https://doi.org/10.1016/j.dcn.2025.101559[details]
Schaaf, J. V., Miletić, S., van Duijvenvoorde, A. C. K., & Huizenga, H. M. (2025). Interpretation of individual differences in computational neuroscience using a latent input approach. Developmental Cognitive Neuroscience, 72, Article 101512. https://doi.org/10.1016/j.dcn.2025.101512[details]
Koelen, J., Klein, A., Wolters, N., Bol, E., De Koning, L., Roetink, S., Van Blom, J., Boutin, B., Schaaf, J., Grasman, R., Van der Heijde, C. M., Salemink, E., Riper, H., Karyotaki, E., Cuijpers, P., Schneider, S., Rapee, R., Vonk, P., & Wiers, R. (2024). Web-Based, Human-Guided, or Computer-Guided Transdiagnostic Cognitive Behavioral Therapy in University Students With Anxiety and Depression: Randomized Controlled Trial. JMIR Mental Health, 11, Article e50503. https://doi.org/10.2196/50503[details]
Schaaf, J. V., Johansson, A., Visser, I., & Huizenga, H. M. (2024). What’s in a name: The role of verbalization in reinforcement learning. Psychonomic Bulletin and Review, 31(6), 2746–2757. https://doi.org/10.3758/s13423-024-02506-3[details]
Schaaf, J. V., Weidinger, L., Molleman, L., & van den Bos, W. (2024). Test-retest reliability of reinforcement learning parameters. Behavior Research Methods, 56(5), 4582-4599. https://doi.org/10.3758/s13428-023-02203-4[details]
Kramer, A.-W., Schaaf, J. V., & Huizenga, H. M. (2023). How much do you want to learn? High-school students' willingness to invest effort in valenced feedback-learning tasks. Learning and Individual Differences, 108, Article 102375. https://doi.org/10.1016/j.lindif.2023.102375[details]
Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2022). Impaired learning to dissociate advantageous and disadvantageous risky choices in adolescents. Scientific Reports, 12, Article 6490. https://doi.org/10.1038/s41598-022-10100-7[details]
Schaaf, J. V., Xu, B., Jepma, M., Visser, I., & Huizenga, H. M. (2022). (Mal)Adaptive Learning After Switches Between Object-Based and Rule-Based Environments. Computational Brain & Behavior, 5(2), 157-167. https://doi.org/10.1007/s42113-022-00134-5[details]
Dekkers, T. J., Hornstra, R., van den Hoofdakker, B. J., de Jong, S. R. C., Schaaf, J. V., Bosmans, G., & van der Oord, S. (2021). Attachment Representations in Children with and without Attention-Deficit/Hyperactivity Disorder (ADHD). Brain Sciences, 11, Article 1516. https://doi.org/10.3390/brainsci11111516[details]
Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2021). Effects of advice on experienced-based learning in adolescents and adults. Journal of Experimental Child Psychology, 211, Article 105230. https://doi.org/10.1016/j.jecp.2021.105230[details]
Zadelaar, J. N., Agelink van Rentergem, J. A., Schaaf, J. V., Dekkers, T. J., de Vent, N., Dekkers, L. M. S., Olthof, M. C., Jansen, B. R. J., & Huizenga, H. M. (2021). Development of decision making based on internal and external information: A hierarchical Bayesian approach. Judgment and Decision Making, 16(6), 1413-1438. https://doi.org/10.1017/S1930297500008482[details]
Zadelaar, J., Agelink van Rentergem Zandvliet, J., Schaaf, J., Dekkers, T., de Vent, N., Dekkers, L., Jansen, B. & Huizenga, H. (2020). Decision Making Based On Internal And External Information (Codes and Supplementary Materials). Mendeley Data. https://doi.org/10.17632/27fhx4f2k3.1
2020
Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2020). Uncertainty-driven regulation of learning and exploration in adolescents: A computational account. PLoS Computational Biology, 16(9), Article e1008276. https://doi.org/10.1371/journal.pcbi.1008276[details]
Schaaf, J. V., Jepma, M., Visser, I., & Huizenga, H. M. (2019). A hierarchical Bayesian approach to assess learning and guessing strategies in reinforcement learning. Journal of Mathematical Psychology, 93, Article 102276. https://doi.org/10.1016/j.jmp.2019.102276[details]
Derks, K., Burger, J., van Doorn, J., Kossakowski, J. J., Matzke, D., Atticciati, L., Beitner, J., Benzesin, V., de Bruijn, A. L., Cohen, T. R. H., Cordesius, E. P. A., van Dekken, M., Delvendahl, N., Dobbelaar, S., Groenendijk, E. R., Hermans, M. E., Hiekkaranta, A. P., Hoekstra, R. H. A., Hoffmann, A. M., ... Wagenmakers, E.-J. (2018). Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance. Journal of European Psychology Students, 9, 48-57. https://doi.org/10.5334/jeps.458[details]
Schaaf, J. V. (2023). Learning how we learn: Feedback-learning models to understand development. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
Zadelaar, J., Agelink van Rentergem Zandvliet, J., Schaaf, J., Dekkers, T., de Vent, N., Dekkers, L., Jansen, B. & Huizenga, H. (2020). Decision Making Based On Internal And External Information (Codes and Supplementary Materials). Mendeley Data. https://doi.org/10.17632/27fhx4f2k3.1
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