| 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 | 104 | 2020 |
| Developing constraint in Bayesian mixed models. JM Haaf, JN Rouder Psychological methods 22 (4), 779, 2017 | 56 | 2017 |
| 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 | 55 | 2018 |
| A psychometrics of individual differences in experimental tasks JN Rouder, JM Haaf Psychonomic bulletin & review 26 (2), 452-467, 2019 | 54 | 2019 |
| 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 | 42* | 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 | 40 | 2016 |
| Why Most Studies of Individual Differences With Inhibition Tasks Are Bound To Fail J Rouder, A Kumar, JM Haaf PsyArXiv, 2019 | 33 | 2019 |
| 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 | 27 | 2019 |
| 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 | 26 | 2018 |
| Retire significance, but still test hypotheses JM Haaf, A Ly, EJ Wagenmakers Nature 567 (7749), 2019 | 23* | 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 | 22 | 2019 |
| 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 | 21 | 2018 |
| 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 | 21 | 2017 |
| From theories to models to predictions: A Bayesian model comparison approach JN Rouder, JM Haaf, F Aust Communication Monographs 85 (1), 41-56, 2018 | 19 | 2018 |
| Minimizing Mistakes In Psychological Science J Rouder, JM Haaf, HK Snyder Advances in Methods and Practices in Psychological Science 2 (1), 3–11, 2019 | 17 | 2019 |
| 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 | 16 | 2019 |
| Optional Stopping and the Interpretation of The Bayes Factor JN Rouder, JM Haaf | 8* | 2020 |
| A Cautionary Note on Estimating Effect Size D van den Bergh, JM Haaf, A Ly, JN Rouder, EJ Wagenmakers PsyArXiv, 2019 | 8 | 2019 |
| A primer on bayesian model-averaged meta-analysis QF Gronau, DW Heck, SW Berkhout, JM Haaf, EJ Wagenmakers PsyArXiv, 2020 | 6 | 2020 |
| 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 | 5 | 2020 |
Jeffrey N. RouderUniversity of California, IrvineBestätigte E-Mail-Adresse bei uci.edu
