Search results
Results: 408
Number of items: 408
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Maier, M., Bartoš, F., & Wagenmakers, E.-J. (2023). Robust Bayesian meta-analysis: Addressing publication bias with model-averaging. Psychological Methods, 28(1), 107-122. https://doi.org/10.1037/met0000405
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Wagenmakers, E.-J., Sarafoglou, A., & Aczel, B. (2023). Facing the Unknown Unknowns of Data Analysis. Current Directions in Psychological Science, 32(5), 362-368. https://doi.org/10.1177/09637214231168565 -
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 -
van Ravenzwaaij, D., Bakker, M., Heesen, R., Romero, F., van Dongen, N., Crüwell, S., Field, S. M., Held, L., Munafò, M. R., Pittelkow, M. M., Tiokhin, L., Traag, V. A., van den Akker, O. R., van 't Veer, A. E., & Wagenmakers, E. J. (2023). Perspectives on Scientific Error. Royal Society Open Science, 10(7), Article 230448. https://doi.org/10.31234/osf.io/wm4v6, https://doi.org/10.1098/rsos.230448 -
Bartoš, F., Maier, M., Shanks, D. R., Stanley, T. D., Sladekova, M., & Wagenmakers, E.-J. (2023). Meta-analyses in psychology often overestimate evidence for and size of effects. Royal Society Open Science, 10(7), Article 230224. https://doi.org/10.1098/rsos.230224 -
Hoogeveen, S., Sarafoglou, A., van Elk, M., & Wagenmakers, E.-J. (2023). Many-analysts religion project: reflection and conclusion. Religion, Brain and Behavior, 13(3), 356-363. https://doi.org/10.1080/2153599X.2022.2070263 -
van den Bergh, D., Wagenmakers, E.-J., & Aust, F. (2023). Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP. Advances in Methods and Practices in Psychological Science, 6(2). https://doi.org/10.1177/25152459231168024 -
Pfadt, J. M., Bergh, D. V. D., Sijtsma, K., & Wagenmakers, E.-J. (2023). A tutorial on Bayesian single-test reliability analysis with JASP. Behavior Research Methods, 55(3), 1069-1078. https://doi.org/10.3758/s13428-021-01778-0 -
Huth, K. B. S., de Ron, J., Goudriaan, A. E., Luigjes, J., Mohammadi, R., van Holst, R. J., Wagenmakers, E.-J., & Marsman, M. (2023). Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP. Advances in Methods and Practices in Psychological Science, 6(4). https://doi.org/10.1177/25152459231193334
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