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Results: 94
Number of items: 94
  • Open Access
    Waldorp, L., & Marsman, M. (2022). Relations between Networks, Regression, Partial Correlation, and the Latent Variable Model. Multivariate Behavioral Research, 57(6), 994-1006. https://doi.org/10.1080/00273171.2021.1938959
  • Open Access
    Dalege, J., Haslbeck, J. M. B., & Marsman, M. (2022). Idealized Modeling of Psychological Dynamics. In A.-M. Isvoranu, S. Epskamp, L. Waldrop, & D. Borsboom (Eds.), Network Psychometrics with R: A Guide for Behavioral and Social Scientists (pp. 233-245). (Research methods and statistics). Routledge. https://doi.org/10.4324/9781003111238-17
  • Open Access
    Marsman, M., & Rhemtulla, M. (2022). Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems. Psychometrika, 87(1), 1-11. https://doi.org/10.1007/s11336-022-09861-x
  • Open Access
    Sarafoglou, A., van der Heijden, A., Draws, T., Cornelisse, J., Wagenmakers, E.-J., & Marsman, M. (2022). Combine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project. Psychology Learning and Teaching, 21(2), 138-150. https://doi.org/10.1177/14757257221077307
  • Open Access
    Cuellar Caicedo, E. J. (2022). Making sense of DIF in international large-scale assessments in education. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Mulder, J., Wagenmakers, E.-J., & Marsman, M. (2022). A Generalization of the Savage–Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses. American Statistician, 76(2), 102-109. https://doi.org/10.1080/00031305.2020.1799861
  • Open Access
    Huth, K. B. S., Luigjes, J., Marsman, M., Goudriaan, A. E., & van Holst, R. J. (2022). Modeling alcohol use disorder as a set of interconnected symptoms -assessing differences between clinical and population samples and across external factors. Addictive Behaviors, 125, Article 107128. https://doi.org/10.1016/j.addbeh.2021.107128
  • Open Access
    von den Bergh, D., Clyde, M. A., Gupta, A. R. K. N., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., & Wagenmakers, E.-J. (2021). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods, 53(6), 2351-2371. https://doi.org/10.31234/osf.io/pqju6, https://doi.org/10.3758/s13428-021-01552-2
  • Open Access
    van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharský, Š., Ly, A., Marsman, M., Matzke, D., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28(3), 813–826. https://doi.org/10.3758/s13423-020-01798-5
  • Open Access
    Savi, A. O., Marsman, M., & van der Maas, H. L. J. (2021). Evolving networks of human intelligence. Intelligence, 88, Article 101567. https://doi.org/10.1016/j.intell.2021.101567
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