Julia Haaf

Research Interests: 
  • Invariances in individual performance
  • Bayesian hierarchical modeling
  • Cognitive Psychology: Perception and recognition memory
  • Social cognition: Evaluative conditioning, affective priming and the role of awareness

Twitter: @JuliaHaaf
Github: jstbcs

You can find the material for the Workshop on Mathematical Modeling of Cognitive Processes (University of Missouri, August 2018) here

Selected Publications: 


Haaf, J. M., Rhodes, S., Sun, T. K., Naveh-Benjamin, M., & Rouder, J. N. (submitted). Revisiting the Remember-Know Task: Replications of Gardiner and Java (1990). PsyArxiv. OSF project & PsyArXiv

Haaf, J. M., Merkle, E. C., & Rouder, J. N. (submitted). Assessing Item Ordering With Shift-Scale Models. PsyArxiv. PsyArXiv

Rouder, J. N., Haaf, J. M., Davis-Stober, C., & Hilgard, J. (submitted). Beyond overall effects: A Bayesian approach to finding constraints across a collection of studies in meta-analysis. PsyArXiv. PDF

Haaf, J. M., Klaassen, F., & Rouder, J. N. (2018). A Note on Using Systems of Orders to Capture Theoretical Constraint in Psychological Science. PsyArXiv. PDF


Rouder, J. N., & Haaf, J. M. (in press). A Psychometrics of Individual Differences in Experimental Tasks. Psychonomic Bulletin and Review. PDF

Haaf, J. M., & Rouder, J. N. (in press). Some do and some don’t? Accounting for variability of individual difference structures. Psychonomic Bulletin and Reviewhttps://doi.org/10.3758/s13423-018-1522-x PDF

Rouder, J. N., Haaf, J. M., & Snyder, H. K. (in press). Minimizing Mistakes In Psychological Science. Advances in Methods and Practices in Psychological Science. PDF

Aust, F., Haaf, J. M., & Stahl, C. (in press). A memory-based judgment account of expectancy-liking dissociations in evaluative conditioning. Journal of Experimental Psychology: Learning, Memory, and Cognition. PDF & OSF project

Heycke, T., Gehrmann, S. M., Haaf, J., & Stahl, C. (in press). Of two minds or one? A registered replication of Rydell et al. (2006). Emotion and Cognitiondoi:10.1080/02699931.2018.1429389. PDF & OSF project

Etz, A., Haaf, J. M., Rouder, J. N., & Vandekerckhove, J. (2018). Bayesian inference and testing any hypothesis you can specify. Advances in Methods and Practices in Psychological Science, 1(2), 281-295. https://doi.org/10.1177/2515245918773087. PDF & OSF project (with app)

Rouder, J. N., Haaf, J. M., & Vandekerckhove, J. (2018). Bayesian Inference in Psychology, Part IV: Parameter estimation and Bayes factors. Psychonomic Bulletin and Review, 25(1), 102-113. 10.3758/s13423-017-1420-7. PDF

Rouder, J., & Haaf, J. (2018). Power, Dominance, and Constraint: A Note on the Appeal of Different Design Traditions. Advances in Methods and Practice in Psychological Science, 1(1), 19-26. https://doi.org/10.1177/2515245917745058. PDF Github

Rouder, J. N., Haaf, J. M., & Aust, F. (2018). From theories to models to predictions: A Bayesian model comparison approach. Communication Monographs, 85(1), 41-56. 10.1080/03637751.2017.1394581. PDF

Haaf, J. M., & Rouder, J. N. (2017). Developing Constraint in Bayesian Mixed Models. Psychological Methods, 22(4), 779-798. http://dx.doi.org/10.1037/met0000156. PDF Github

Thiele, J. E., Haaf, J. M., & Rouder, J. N. (2017). Is there variation across individuals in processing? Bayesian analysis for systems factorial technology. Journal of Mathematical Psychology, 81, 40-54. 10.1016/j.jmp.2017.09.002. PDF Github

Stahl, C., Haaf, J., & Corneille, O. (2016). Subliminal evaluative conditioning? Above-chance CS identification may be necessary and insufficient for attitude learning. Journal of Experimental Psychology: General, 145(9), 1107-1131. /10.1037/xge0000191. PDF Github