Angelika Stefan
Angelika Stefan
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Cited by
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
Big little lies: a compendium and simulation of p-hacking strategies
AM Stefan, FD Schönbrodt
Royal Society Open Science 10 (2), 220346, 2023
Bayes factors for mixed models
J van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers
Computational Brain & Behavior, 1-13, 2021
Practical challenges and methodological flexibility in prior elicitation.
AM Stefan, NJ Evans, EJ Wagenmakers
Psychological Methods 27 (2), 177, 2022
BFDA: An R package for Bayes factor design analysis (version 0.4. 0)
FD Schönbrodt, AM Stefan
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
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
Bayesian hierarchical modeling: An introduction and reassessment
M Veenman, AM Stefan, JM Haaf
Behavior Research Methods, 1-32, 2023
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
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
A two-stage Bayesian sequential assessment of exploratory hypotheses
AM Stefan, LL Lengersdorff, EJ Wagenmakers
Collabra: Psychology 8 (1), 40350, 2022
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
Developing prior distributions for Bayesian meta-analyses
K McKinney, AM Stefan, QF Gronau
PsyArXiv, 2021
Interim design analysis using Bayes factor forecasts.
AM Stefan, QF Gronau, EJ Wagenmakers
Psychological Methods, 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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