Publications Preprints (under Review / Revision) Egli, S., Badenbach, T., van Emmerik, A., Stefan, A. M., OPTIMA Study Group, & Kopf-Beck, J. (2024). Emotion regulation and attachment as mechanisms of change in schema therapy and cognitive behaviour therapy for depression. Manuscript | Code Gigerenzer, G., Allen, C., Gaillard, S. D. M., Goldstone, R. L., Haaf, J. M., Holmes, W. R., Kashima, Y., Motz, B., Musslick, S., & Stefan, A. M. (2024). Alternative models of research funding. Manuscript Claus, N., Flechsenhar, A., Motka, F., Ehring T., Sckopke, P., Schönbrodt, F. D., Stefan, A. M., Werner, G. G., Cludius, B., & Zygar-Hoffmann, C. (2023). Interpersonal versus intrapersonal emotion regulation: Intensity of negative emotion predicts usage probability. Manuscript | Code, Materials Ruisch, B. C., Anderson, R. A., Stefan, A. M., & Krosch, A. R. (2023). Are there ideological asymmetries in intergroup bias? A minimal groups approach. Stage 1 Registered Report (in principal acceptance at Nature Human Behavior). Manuscript Kaczmarek, N., Mignon, A., Rousseau, A., & Stefan, A. M. (2023). Comparing the effectiveness of mental contrasting, implementation intentions, and their combination to promote physical activity among insufficiently active people. Stage 1 Registered Report (in principle acceptance at International Review of Social Psychology). Manuscript | Code McKinney, K., Stefan, A. M., & Gronau, Q. F. (2021). Developing prior distributions for Bayesian meta-analyses. Manuscript | Code, Data, Materials Peer-Reviewed Publications Accepted / In Press Stefan, A. M., Gronau, Q. F., & Wagenmakers, E.-J. (in press). Interim design analysis using Bayes factor forecasts. Psychological Methods. Manuscript | Code | Materials 2024 Veenman, M., Stefan, A. M., & Haaf, J. (in press). Bayesian hierarchical modeling: An introduction and reassessment. Behavior Research Methods 56, 4600-4631. Paper | Code | Materials Sarafoglou, A., Bartoš, F., Stefan, A. M., Haaf, J. M., & Wagenmakers, E.-J. (2024). “This behavior strikes us as ideal”: Assessment and anticipations of Huisman (2022). Psychonomic Bulletin & Review, 31(1). Paper 2023 Visser, I., Kucharský, Š., Levelt, C., Stefan, A. M., Wagenmakers, E.-J., & Oakes, L. (2023). Bayesian sample size planning for developmental studies. Infant and Child Development, e2412. Paper | Code | Materials van Doorn, J., Aust, F., Haaf, J., Stefan, A. M., & Wagenmakers E.-J. (2023). Bayes factors for mixed models. Computational Brain & Behavior 6, 1-13. Paper | Code Stefan, A. M. & Schönbrodt, F. D. (2023). Big little lies: A compendium and simulation of p-hacking strategies. Royal Society Open Science, 10(2), 220346. Paper | Code, R Package | Materials | Shiny App Werner, G., Sckopke, P., Cludius, B., Stefan, A., Schönbrodt, F., & Zygar-Hoffmann, C. (2023). The predictive power of insomnia symptoms on other aspects of mental health during the COVID-19 pandemic: A longitudinal study. Journal of Sleep Research 32(1), e13641. Paper | Materials 2022 Stefan, A. M., Lengersdorff, L. L., & Wagenmakers, E.-J. (2022). A two-stage Bayesian sequential assessment of exploratory hypotheses. Collabra:Psychology 8(1). Paper | Code, Materials Stefan, A. M., Schönbrodt, F. D., Evans, N. J., & Wagenmakers, E.-J. (2022). Efficiency in sequential testing: Comparing the Sequential Probability Ratio Test and the Sequential Bayes Factor Test. Behavior Research Methods 55, 3100-3117. Paper | Code, Materials Stefan, A. M., Katsimpokis, D., Gronau Q., & Wagenmakers, E.-J. (2022). Expert agreement in prior elicitation and its effects on Bayesian inference. Psychonomic Bulletin & Review, 29, 1776-1794. Paper | Code, Data | Materials Stefan, A. M., Evans, N. J., & Wagenmakers, E.-J. (2022). Practical challenges and methodological flexibility in prior elicitation. Psychological Methods, 27(2), 177-197. Paper | Code, Materials 2021 van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Evans, N. J., Gronau, Q. F., Hinne, M., Kucharsky, S., Ly, A., Marsman, M., Matzke, D., Komarlu, A. R., Gupta, N., Sarafoglou, A., Stefan, A. M., Voelkel, J., & Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28, 813-826 Paper | Code, Materials 2020 van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q., Kucharsky, S., Raj, A., Sarafoglou, A., Voelkel, J., Stefan, A. M., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E.-J. (2020). A tutorial on conducting and interpreting a Bayesian ANOVA in JASP. L’Année Psychologique / Topics in Cognitive Psychology, 120(1), 73-96. Paper | Code, Materials Stefan, A. M., & von Oertzen, T. (2020). Bayesian power equivalence in latent growth curve models. British Journal of Mathematical and Statistical Psychology, 73(S1), 180-193. Paper | Code, Materials Ly, A., Stefan, A. M., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharsky, 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 workable alternative to the p-value hypothesis test. Computational Brain & Behavior, 3, 151-161. Paper | Code, Data, Materials 2019 Crüwell, S., Stefan, A. M., & Evans, N. J. (2019). Robust standards in cognitive science. Computational Brain & Behavior, 2(3), 255–265. Paper Stefan, A. M., Gronau, Q. F., Schönbrodt, F. D., & Wagenmakers, E.-J. (2019). A tutorial on Bayes Factor Design Analysis using an informed prior. Behavior Research Methods, 51(3), 1042–1058. Paper | Code, Materials | Shiny App | R Package Miscellaneous Academic Publications A discussion and perspective on responses in the special issue of Computational Brain and Behavior based on our 2023 article (van Doorn et al., 2023). A book review of “Statistics for making decisions” for The American Statistician. A magazine article about how bold evidence claims in the title of research articles may not reflect researchers’ personal convictions. Two chapters in the book accompanying the JASP Data Library Two chapters in a social psychology book project on fairy tales