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Results: 87
Number of items: 87
  • Open Access
    Wibbelink, C. J. M., Sellbom, M., Grasman, R. P. P. P., Arntz, A., Sinnaeve, R., & Kamphuis, J. H. (2025). Using the Minnesota Multiphasic Personality Inventory–2 Restructured Form to Predict Functioning After Treatment for Borderline Personality Disorder: A Machine Learning Approach. Psychological Assessment, 37(6-7), 261-272. https://doi.org/10.1037/pas0001385
  • Open Access
    Gauld, C., Grasman, R. P. P. P., & Bailly, S. (2025). Usefulness of Cross-Lagged Panel Models for Clinical Research. Chest, 167(6), 1537-1540. https://doi.org/10.1016/j.chest.2024.12.013
  • Open Access
    Molenaar, D., Grasman, R. P. P. P., & Cúri, M. (2025). Autoencoders for Amortized Joint Maximum Likelihood Estimation of Confirmatory Item Factor Models. Multivariate Behavioral Research, 60(4), 657-677. https://doi.org/10.1080/00273171.2025.2456598
  • Open Access
    Laskar, P., Grasman, R. P. P. P., Raijmakers, M. E. J., Homburg, A. J., Jansen, B., & van der Maas, H. L. J. (2025). A Reciprocal Model of Practice and Skill: Navigating Between Dropout and Expertise. (v2 ed.) Open Science Framework. https://doi.org/10.31219/osf.io/gy7kh_v1
  • Open Access
    Veldkamp, K., Grasman, R., & Molenaar, D. (2025). Handling missing data in variational autoencoder based item response theory. British Journal of Mathematical & Statistical Psychology, 78(1), 378-397. https://doi.org/10.1111/bmsp.12363
  • Open Access
    Veldkamp, K., Grasman, R., & Molenaar, D. (2025). Recommendation with item response theory. Behaviormetrika, 52(2), 343-360. https://doi.org/10.1007/s41237-024-00244-3
  • Open Access
    Nuijs, M. D., Larsen, H., Klein, A. M., Grasman, R. P. P. P., Wiers, R. W., de Voogd, E. L., & Salemink, E. (2025). Combining Unguided Web-Based Attentional Bias Modification and Affective Working Memory Training to Decrease Anxiety: A Randomized Controlled Trial. Cognitive Therapy and Research, 49(4), 685-701. https://doi.org/10.1007/s10608-024-10565-y
  • Open Access
    Korthals, L., Rosenbusch, H., Grasman, R., & Visser, I. (2025). Grading University Students with LLMs: Performance and Acceptance of a Canvas-Based Automation. In A. I. Cristea, E. Walker, Y. Lu, O. C. Santos, & S. Isotani (Eds.), Artificial Intelligence in Education : Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED: 26th International Conference, AIED 2025, Palermo, Italy, July 22–26, 2025 : proceedings (Vol. II, pp. 36-43). (Communications in Computer and Information Science; Vol. 2591). Springer. https://doi.org/10.1007/978-3-031-99264-3_5
  • Open Access
    van der Baan, H. S., Collot D'Escury-Koenigs, A. L., Grasman, R. P. P. P., Schippers, G. M., & Wiers, R. W. (2024). Combining Motivational Interviewing and Cognitive Bias Modification Training for Substances in Detained Youth. JAACAP Open, 2(4), 301-310. https://doi.org/10.1016/j.jaacop.2024.08.003
  • Open Access
    Rameckers, S. A., van Emmerik, A. A. P., Grasman, R. P. P. P., & Arntz, A. (2024). Non-fear emotions in changes in posttraumatic stress disorder symptoms during treatment. Journal of Behavior Therapy and Experimental Psychiatry, 84, Article 101954. https://doi.org/10.1016/j.jbtep.2024.101954
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