Search results

    Filter results

  • Full text

  • Document type

  • Publication year

  • Organisation

Results: 94
Number of items: 94
  • 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
    Kruis, J., Maris, G., Marsman, M., Bolsinova, M., & van der Maas, H. L. J. (2020). Deviations of rational choice: an integrative explanation of the endowment and several context effects. Scientific Reports, 10, Article 16226. https://doi.org/10.1038/s41598-020-73181-2
  • van der Maas, H. L. J., Savi, O. A., Hofman, A., Kan, K.-J., & Marsman, M. (2019). The Network Approach to General Intelligence. In D. J. McFarland (Ed.), General and Specific Mental Abilities (pp. 108-131). Cambridge Scholars Publishing.
  • Open Access
    Boffo, M., Zerhouni, O., Gronau, Q. F., van Beek, R. J. J., Nikolaou, K., Marsman, M., & Wiers, R. W. (2019). Cognitive Bias Modification for Behavior Change in Alcohol and Smoking Addiction: Bayesian Meta-Analysis of Individual Participant Data. Neuropsychology Review, 29(1), 52-78. https://doi.org/10.1007/s11065-018-9386-4
  • Open Access
    Marsman, M., Tanis, C. C., Bechger, T. M., & Waldorp, L. J. (2019). Network psychometrics in educational practice: Maximum likelihood estimation of the Curie-Weiss model. In B. P. Veldkamp, & C. Sluijter (Eds.), Theoretical and Practical Advances in Computer-Based Educational Measurement (pp. 93-120). (Methodology of Educational Measurement and Assessment). SpringerOpen. https://doi.org/10.1007/978-3-030-18480-3_5
  • Open Access
    Marsman, M., Sigurdardóttir, H., Bolsinova, M., & Maris, G. (2019). Characterizing the Manifest Probability Distributions of Three Latent Trait Models for Accuracy and Response Time. Psychometrika, 84(3), 870-891. https://doi.org/10.1007/s11336-019-09668-3
  • Open Access
    van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2019). Bayesian estimation of Kendall’s τ using a latent normal approach. Statistics and Probability Letters, 145, 268-272. https://doi.org/10.1016/j.spl.2018.10.004
  • Open Access
    Ly, A., Etz, A., Marsman, M., & Wagenmakers, E.-J. (2019). Replication Bayes factors from evidence updating. Behavior Research Methods, 51(6), 2498–2508. https://doi.org/10.3758/s13428-018-1092-x
  • Open Access
    Love, J., Selker, R., Marsman, M., Jamil, T., Dropmann, D., Verhagen, J., Ly, A., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Wild, A., Knight, P., Rouder, J. N., Morey, R. D., & Wagenmakers, E.-J. (2019). JASP: Graphical statistical software for common statistical designs. Journal of Statistical Software, 88, Article 2. https://doi.org/10.18637/jss.v088.i02
  • Open Access
    Borsboom, D., & Marsman, M. (2019). Latente variabelen en netwerken: verschillende benaderingen van psychometrische data. Nieuw Archief voor Wiskunde, 20(3), 183-189. http://www.nieuwarchief.nl/serie5/toonnummer.php?deel=20&nummer=3&taal=0
Page 6 of 10