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Fabian Dablander
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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
10152021
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
3272020
Node centrality measures are a poor substitute for causal inference
F Dablander, M Hinne
Scientific reports 9 (1), 6846, 2019
1832019
How to become a Bayesian in eight easy steps: An annotated reading list
A Etz, QF Gronau, F Dablander, PA Edelsbrunner, B Baribault
Psychonomic Bulletin & Review 25 (1), 219-234, 2018
1562018
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.
F Dablander, A Pichler, A Cika, A Bacilieri
Psychological Methods 28 (4), 765, 2023
542023
A clinical PREMISE for personalized models: Toward a formal integration of case formulations and statistical networks.
J Burger, S Epskamp, DC van der Veen, F Dablander, RA Schoevers, ...
Journal of Psychopathology and Clinical Science 131 (8), 906, 2022
452022
The psychometric modeling of scientific reasoning: A review and recommendations for future avenues
PA Edelsbrunner, F Dablander
Educational Psychology Review 31, 1-34, 2019
442019
Multimodality and skewness in emotion time series.
J Haslbeck, O Ryan, F Dablander
Emotion 23 (8), 2117, 2023
412023
An introduction to causal inference
F Dablander
OSF, 2020
402020
The support interval
EJ Wagenmakers, QF Gronau, F Dablander, A Etz
Erkenntnis, 1-13, 2020
402020
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
392020
The sum of all fears: Comparing networks based on symptom sum-scores.
J Haslbeck, O Ryan, F Dablander
Psychological Methods 27 (6), 1061, 2022
252022
Overlapping Time Scales Obscure Early Warning Signals of the Second COVID-19 Wave
F Dablander, H Heesterbeek, D Borsboom, JM Drake
Proceedings of the Royal Society B: Biological Sciences 289 (1968), 2022
212022
What does the crowd believe? A hierarchical approach to estimating subjectivebeliefs from empirical data
M Franke, F Dablander, E Bennett, J Degen, MH Tessler, J Kao, ...
Proceedings of the Annual Meeting of the Cognitive Science Society 38, 2016
212016
Climate change engagement of scientists
F Dablander, MSM Sachisthal, V Cologna, N Strahm, A Bosshard, ...
Nature Climate Change 14 (10), 1033-1039, 2024
192024
Promoting physical distancing during COVID-19: a systematic approach to compare behavioral interventions
TF Blanken, CC Tanis, FH Nauta, F Dablander, BJH Zijlstra, RRM Bouten, ...
Scientific Reports 11 (1), 19463, 2021
182021
The Science Behind the Magic? The Relation of the Harry Potter “Sorting Hat Quiz” to Personality and Human Values
L Jakob, E Garcia-Garzon, H Jarke, F Dablander
Collabra: Psychology 5 (1), 31, 2019
162019
A puzzle of proportions: Two popular Bayesian tests can yield dramatically different conclusions
F Dablander, K Huth, QF Gronau, A Etz, EJ Wagenmakers
Statistics in Medicine 41 (8), 1319-1333, 2022
152022
Toward a generative model for emotion dynamics.
O Ryan, F Dablander, J Haslbeck
Psychological Review, 2024
142024
Bayesian estimation of explained variance in ANOVA designs
M Marsman, L Waldorp, F Dablander, EJ Wagenmakers
Statistica Neerlandica 73 (3), 351-372, 2019
142019
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Articles 1–20