Search results
Results: 41
Number of items: 41
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Sarafoglou, A., Aust, F., Marsman, M., Bartoš, F., Wagenmakers, E.-J., & Haaf, J. M. (2023). Multibridge: an R package to evaluate informed hypotheses in binomial and multinomial models. Behavior Research Methods, 55(8), 4343-4368. https://doi.org/10.3758/s13428-022-02020-1 -
Haaf, J. M., & Rouder, J. N. (2023). Does Every Study? Implementing Ordinal Constraint in Meta-Analysis. Psychological Methods, 28(2), 472-487. https://doi.org/10.31234/osf.io/hf9se, https://doi.org/10.1037/met0000428 -
Hoogeveen, S., Berkhout, S. W., Gronau, Q. F., Wagenmakers, E.-J., & Haaf, J. M. (2023). Improving Statistical Analysis in Team Science: The Case of a Bayesian Multiverse of Many Labs 4. Advances in Methods and Practices in Psychological Science, 6(3). https://doi.org/10.1177/25152459231182318 -
Donzallaz, M. C., Haaf, J. M., & Stevenson, C. E. (2023). Creative or Not? Hierarchical Diffusion Modeling of the Creative Evaluation Process. Journal of Experimental Psychology: Learning Memory and Cognition, 49(6), 849-865. https://doi.org/10.1037/xlm0001177 -
Rouder, J. N., Schnuerch, M., Haaf, J. M., & Morey, R. D. (2023). Principles of Model Specification in ANOVA Designs. Computational Brain and Behavior, 6(1), 50-63. https://doi.org/10.1007/s42113-022-00132-7 -
Sarafoglou, A., Haaf, J. M., Ly, A., Gronau, Q. F., Wagenmakers, E.-J., & Marsman, M. (2023). Evaluating Multinomial Order Restrictions With Bridge Sampling. Psychological Methods, 28(2), 322-338. https://doi.org/10.1037/met0000411 -
van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J. N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., ... Aust, F. (2023). Bayes Factors for Mixed Models: a Discussion. Computational Brain and Behavior, 6(1), 140–158. https://doi.org/10.1007/s42113-022-00160-3 -
van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E.-J. (2023). Bayes Factors for Mixed Models. Computational Brain and Behavior, 6(1), 1–13. https://doi.org/10.1007/s42113-021-00113-2 -
van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E.-J. (2023). Bayes Factors for Mixed Models: Perspective on Responses. Computational Brain and Behavior, 6(1), 127–139. https://doi.org/10.1007/s42113-022-00158-x
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