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 (3), 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, ...
LAnnee 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 (3), 1042-1058, 2019
BFDA: An R package for Bayes factor design analysis (version 0.4. 0)
FD Schönbrodt, AM Stefan
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 (2), 153-161, 2020
Robust standards in cognitive science
S Crüwell, AM Stefan, NJ Evans
Computational Brain & Behavior 2 (3), 255-265, 2019
Bayes factors for mixed models
J van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers
Computational Brain & Behavior, 1-13, 2021
Expert agreement in prior elicitation and its effects on Bayesian inference
A Stefan, D Katsimpokis, QF Gronau, EJ Wagenmakers
PsyArXiv, 2021
Big little lies: A compendium and simulation of p-hacking strategies
A Stefan, F Schönbrodt
PsyArXiv, 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, 1-18, 2022
Strong public claims may not reflect researchers' private convictions
J van Doorn, EJ Wagenmakers
Significance 18 (1), 44-45, 2021
A two-stage Bayesian sequential assessment of exploratory hypotheses
A Stefan, L Lengersdorff, EJ Wagenmakers
PsyArXiv, 2022
Developing Prior Distributions for Bayesian Meta-Analyses
K McKinney, AM Stefan, QF Gronau
PsyArXiv, 2021
Bayesian Hierarchical Modeling: An Introduction and Reassessment
M Veenman, A Stefan, JM Haaf
PsyArXiv, 2022
Interim Design Analysis Using Bayes Factor Forecasts
A Stefan, QF Gronau, EJ Wagenmakers
PsyArXiv, 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, e13641, 2022
Bayes Factors for Mixed Models: Perspective on Responses
J van Doorn, F Aust, JM Haaf, A Stefan, EJ Wagenmakers
PsyArXiv, 2022
Statistics for Making Decisions, by Nicholas T. Longford.
AM Stefan
The American Statistician 76 (1), 87-88, 2022
Bayesian power equivalence in latent growth curve models
AM Stefan, T von Oertzen
British Journal of Mathematical and Statistical Psychology 73, 180-193, 2020
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