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Results: 263
Number of items: 263
  • Open Access
    Kolvoort, I. R. (2023). Novel perspectives on the causal mind: Experiments, modeling, and theory. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Chambon, M., Dalege, J., Borsboom, D., Waldorp, L. J., van der Maas, H. L. J., & van Harreveld, F. (2023). How compliance with behavioural measures during the initial phase of a pandemic develops over time: A longitudinal COVID-19 study. British Journal of Social Psychology, 62(1), 302-321. https://doi.org/10.1111/bjso.12572
  • Open Access
    Gergely, B., van der Maas, H. L. J., Maris, G. K. J., & Bolsinova, M. (2023). Warming up the Cold Start: Adaptive Step Size Method for the Urnings Algorithm. In N. Wang, G. Rebolledo-Mendez, V. Dimitrova, N. Matsuda, & O. C. Santos (Eds.), Artificial Intelligence in Education: Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky : 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023 : proceedings (pp. 409-414). (Communications in Computer and Information Science; Vol. 1831). Springer. https://doi.org/10.1007/978-3-031-36336-8_64
  • Open Access
    Rosenbusch, H., Stevenson, C. E., & van der Maas, H. L. J. (2023). How Accurate are GPT-3’s Hypotheses About Social Science Phenomena? Digital Society, 2(2), Article 26. https://doi.org/10.1007/S44206-023-00054-2
  • Open Access
    Klinkenberg, S. (2023). A psychometric perspective on personalized assessment in education. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Chow, S.-M., Lee, J., Hofman, A. D., van der Maas, H. L. J., Pearl, D. K., & Molenaar, P. C. M. (2022). Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application. Psychometrika, 87(2), 559–592. https://doi.org/10.1007/s11336-021-09829-3
  • Open Access
    Haslbeck, J. M. B., Ryan, O., van der Maas, H. L. J., & Waldorp, L. J. (2022). Modeling Change in Networks. In A.-M. Isvoranu, S. Epskamp, L. Waldrop, & D. Borsboom (Eds.), Network Psychometrics with R: A Guide for Behavioral and Social Scientists (pp. 193-209). (Research methods and statistics). Routledge. https://doi.org/10.4324/9781003111238-14
  • Open Access
    van den Ende, M. W. J., Epskamp, S., Lees, M. H., van der Maas, H. L. J., Wiers, R. W., & Sloot, P. M. A. (2022). A review of mathematical modeling of addiction regarding both (neuro-) psychological processes and the social contagion perspectives. Addictive Behaviors, 127, Article 107201. https://doi.org/10.1016/j.addbeh.2021.107201
  • Open Access
    Bolsinova, M., Maris, G., Hofman, A. D., van der Maas, H. L. J., & Brinkhuis, M. J. S. (2022). Urnings: A new method for tracking dynamically changing parameters in paired comparison systems. Journal of the Royal Statistical Society. Series C: Applied Statistics, 71(1), 91-118. https://doi.org/10.1111/rssc.12523
  • Open Access
    Stevenson, C., Smal, I., Baas, M., Grasman, R., & van der Maas, H. (2022). Putting GPT-3’s Creativity to the (Alternative Uses) Test. In M. M. Hedblom, A. A. Kantosalo, R. Confalonieri, O. Kutz, & T. Veale (Eds.), Proceedings of the 13th International Conference on Computational Creativity: ICCC'22, Bozen-Bolzano, Italy, 27 June-1 July (pp. 164-168). Association for Computational Creativity. https://doi.org/10.48550/arXiv.2206.08932
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