Search results
Results: 94
Number of items: 94
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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 -
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
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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
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Ly, A., Böhm, U., Heathcote, A., Turner, B. M., Forstmann, B., Marsman, M., & Matzke, D. (2018). A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 467-480). Wiley Blackwell. https://doi.org/10.1002/9781119159193.ch34
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Ly, A., Marsman, M., & Wagenmakers, E.-J. (2018). Analytic posteriors for Pearson's correlation coefficient. Statistica Neerlandica, 72(1), 4-13. https://doi.org/10.1111/stan.12111
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Ly, A., Raj, A., Etz, A., Marsman, M., Gronau, Q. F., & Wagenmakers, E.-J. (2018). Bayesian reanalyses from summary statistics: A guide for academic consumers. Advances in Methods and Practices in Psychological Science, 1(3), 367-374. https://doi.org/10.1177/2515245918779348
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Hofman, A. D., Visser, I., Jansen, B. R. J., Marsman, M., & van der Maas, H. L. J. (2018). Fast and slow strategies in multiplication. Learning and Individual Differences, 68, 30-40. https://doi.org/10.1016/j.lindif.2018.09.007
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Wagenmakers, E.-J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Love, J., Selker, R., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Rouder, J. N., & Morey, R. D. (2018). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review, 25(1), 35-57. https://doi.org/10.3758/s13423-017-1343-3
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Boehm, U., Marsman, M., Matzke, D., & Wagenmakers, E.-J. (2018). On the importance of avoiding shortcuts in applying cognitive models to hierarchical data. Behavior Research Methods, 50(4), 1614-1631. https://doi.org/10.3758/s13428-018-1054-3
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Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Selker, R., Gronau, Q. F., Dropmann, D., Boutin, B., Meerhoff, F., Knight, P., Raj, A., van Kesteren, E.-J., van Doorn, J., Šmíra, M., Epskamp, S., Etz, A., Matzke, D., ... Morey, R. D. (2018). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25(1), 58-76. https://doi.org/10.3758/s13423-017-1323-7
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