Angelika Stefan
Angelika Stefan
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The JASP guidelines for conducting and reporting a Bayesian analysis
J Van Doorn, D Van Den Bergh, U Böhm, F Dablander, K Derks, T Draws, ...
Psychonomic Bulletin & Review 28, 813-826, 2021
A tutorial on conducting and interpreting a Bayesian ANOVA in JASP
D van den Bergh, J Van Doorn, M Marsman, T Draws, EJ Van Kesteren, ...
L’Année psychologique 120 (1), 73-96, 2020
A tutorial on Bayes Factor Design Analysis using an informed prior
AM Stefan, QF Gronau, FD Schönbrodt, EJ Wagenmakers
Behavior research methods 51, 1042-1058, 2019
Bayes factors for mixed models
J van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers
Computational Brain & Behavior, 1-13, 2021
Big little lies: a compendium and simulation of p-hacking strategies
AM Stefan, FD Schönbrodt
Royal Society Open Science 10 (2), 220346, 2023
Practical challenges and methodological flexibility in prior elicitation.
AM Stefan, NJ Evans, EJ Wagenmakers
Psychological Methods 27 (2), 177, 2022
The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test
A Ly, A Stefan, J van Doorn, F Dablander, D van den Bergh, A Sarafoglou, ...
Computational Brain & Behavior 3, 153-161, 2020
BFDA: An R package for Bayes factor design analysis (version 0.4. 0)
FD Schönbrodt, AM Stefan
Robust standards in cognitive science
S Crüwell, AM Stefan, NJ Evans
Computational Brain & Behavior 2, 255-265, 2019
Expert agreement in prior elicitation and its effects on Bayesian inference
A Stefan, D Katsimpokis, QF Gronau, EJ Wagenmakers
Psychonomic Bulletin & Review, 2022
Efficiency in sequential testing: Comparing the sequential probability ratio test and the sequential Bayes factor test
AM Stefan, FD Schönbrodt, NJ Evans, EJ Wagenmakers
Behavior Research Methods 54 (6), 3100-3117, 2022
The predictive power of insomnia symptoms on other aspects of mental health during the COVID‐19 pandemic: a longitudinal study
GG Werner, B Cludius, P Sckopke, A Stefan, F Schönbrodt, ...
Journal of Sleep Research 32 (1), e13641, 2023
Strong public claims may not reflect researchers' private convictions
J van Doorn, EJ Wagenmakers
Significance 18 (1), 44-45, 2021
Bayesian hierarchical modeling: An introduction and reassessment
M Veenman, AM Stefan, JM Haaf
Behavior Research Methods, 1-32, 2023
A two-stage Bayesian sequential assessment of exploratory hypotheses
AM Stefan, LL Lengersdorff, EJ Wagenmakers
Collabra: Psychology 8 (1), 40350, 2022
Developing prior distributions for Bayesian meta-analyses
K McKinney, AM Stefan, QF Gronau
PsyArXiv, 2021
Bayes factors for mixed models: Perspective on responses
J van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers
Computational Brain & Behavior 6 (1), 127-139, 2023
Interim design analysis using Bayes factor forecasts.
AM Stefan, QF Gronau, EJ Wagenmakers
Psychological Methods, 2024
Bayesian sample size planning for developmental studies
I Visser, Š Kucharský, C Levelt, AM Stefan, EJ Wagenmakers, L Oakes
Infant and Child Development 33 (1), e2412, 2024
Bayes factors for mixed models: A discussion
J van Doorn, JM Haaf, AM Stefan, EJ Wagenmakers, GE Cox, ...
Computational Brain & Behavior 6 (1), 140-158, 2023
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