Julia M. Haaf
Julia M. Haaf
Verified email at uva.nl
Title
Cited by
Cited by
Year
The JASP guidelines for conducting and reporting a Bayesian analysis
J van Doorn, D van den Bergh, U Bohm, F Dablander, K Derks, T Draws, ...
Psychonomic Bulletin & Review, 2020
1302020
A psychometrics of individual differences in experimental tasks
JN Rouder, JM Haaf
Psychonomic bulletin & review 26 (2), 452-467, 2019
652019
Bayesian inference for psychology, part IV: Parameter estimation and Bayes factors
JN Rouder, JM Haaf, J Vandekerckhove
Psychonomic bulletin & review 25 (1), 102-113, 2018
622018
Developing constraint in Bayesian mixed models.
JM Haaf, JN Rouder
Psychological methods 22 (4), 779, 2017
622017
Power, Dominance, and Constraint: A Note on the Appeal of Different Design Traditions
JN Rouder, JM Haaf
Advances in Methods and Practices in Psychological Science, 2515245917745058, 2017
47*2017
Subliminal evaluative conditioning? Above-chance CS identification may be necessary and insufficient for attitude learning.
C Stahl, J Haaf, O Corneille
Journal of Experimental Psychology: General 145 (9), 1107, 2016
422016
Why Most Studies of Individual Differences With Inhibition Tasks Are Bound To Fail
J Rouder, A Kumar, JM Haaf
PsyArXiv, 2019
392019
Some do and some don’t? Accounting for variability of individual difference structures.
JM Haaf, J Rouder
Psychonomic bulletin & review 26 (3), 772–789, 2019
342019
Bayesian inference and testing any hypothesis you can specify
A Etz, JM Haaf, JN Rouder, J Vandekerckhove
Advances in Methods and Practices in Psychological Science 1 (2), 281-295, 2018
322018
Retire significance, but still test hypotheses
JM Haaf, A Ly, EJ Wagenmakers
Nature 567 (7749), 2019
24*2019
A memory-based judgment account of expectancy-liking dissociations in evaluative conditioning.
F Aust, JM Haaf, C Stahl
Journal of Experimental Psychology: Learning, Memory, and Cognition 45 (3), 417, 2019
232019
Of two minds or one? A registered replication of Rydell et al.(2006)
T Heycke, S Gehrmann, JM Haaf, C Stahl
Cognition and Emotion 32 (8), 1708-1727, 2018
232018
From theories to models to predictions: A Bayesian model comparison approach
JN Rouder, JM Haaf, F Aust
Communication Monographs 85 (1), 41-56, 2018
212018
Is there variation across individuals in processing? Bayesian analysis for systems factorial technology
JE Thiele, JM Haaf, JN Rouder
Journal of Mathematical Psychology 81, 40-54, 2017
212017
Minimizing Mistakes In Psychological Science
J Rouder, JM Haaf, HK Snyder
Advances in Methods and Practices in Psychological Science 2 (1), 3–11, 2019
202019
Beyond Overall Effects: A Bayesian Approach to Finding Constraints Across A Collection Of Studies In Meta-Analysis
JN Rouder, JM Haaf, C Davis-Stober, J Hilgard
Psychological Methods, 2019
192019
A cautionary note on estimating effect size
D van den Bergh, JM Haaf, A Ly, JN Rouder, EJ Wagenmakers
Advances in Methods and Practices in Psychological Science 4 (1 …, 2021
102021
Optional Stopping and the Interpretation of The Bayes Factor
JN Rouder, JM Haaf
10*2020
A primer on bayesian model-averaged meta-analysis
QF Gronau, DW Heck, SW Berkhout, JM Haaf, EJ Wagenmakers
PsyArXiv, 2020
62020
A Bayesian Multiverse Analysis of Many Labs 4: Quantifying the Evidence against Mortality Salience
JM Haaf, S Hoogeveen, S Berkhout, QF Gronau, EJ Wagenmakers
PsyArXiv, 2020
62020
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Articles 1–20