Search results

    Filter results

  • Full text

  • Document type

  • Publication year

  • Organisation

Results: 94
Number of items: 94
  • Open Access
    van Doorn, J. B. (2021). Bayes factor hypothesis tests for ranks and researchers. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M., & Cramer, A. O. J. (2021). Investigating the Utility of Fixed-margin Sampling in Network Psychometrics. Multivariate Behavioral Research, 56(2), 314-328 . https://doi.org/10.1080/00273171.2018.1489771
  • Open Access
    Boehm, U., Marsman, M., van der Maas, H. L. J., & Maris, G. (2021). An Attention-Based Diffusion Model for Psychometric Analyses. Psychometrika, 86(4), 938-972. https://doi.org/10.1007/s11336-021-09783-0
  • Open Access
    Kruis, J. (2021). Item response mechanics. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E.-J. (2020). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. Année Psychologique, 120(1), 73-96. https://doi.org/10.31234/osf.io/spreb, https://doi.org/10.3917/anpsy1.201.0073
  • Open Access
    van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2020). Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman’s ρ. Journal of Applied Statistics, 47(16), 2984-3006. https://doi.org/10.1080/02664763.2019.1709053
  • Open Access
    Landy, J. F., Jia, M. L., Ding, I. L., Viganola, D., Tierney, W., Dreber, A., Johannesson, M., Pfeiffer, T., Ebersole, C. R., Gronau, Q. F., Ly, A., van den Bergh, D., Marsman, M., Derks, K., Wagenmakers, E.-J., Proctor, A., Bartels, D. M., Bauman, C. W., Brady, W. J., ... Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146(5), 451-479. https://doi.org/10.1037/bul0000220
  • Open Access
    Ly, A., Stefan, A., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharský, S., Derks, K., Gronau, Q. F., Raj, A., Boehm, U., van Kesteren, E.-J., Hinne, M., Matzke, D., Marsman, M., & Wagenmakers, E.-J. (2020). The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test. Computational Brain & Behavior, 3(2), 153-161. https://doi.org/10.31234/osf.io/dhb7x, https://doi.org/10.1007/s42113-019-00070-x
Page 5 of 10