Julia Haaf

haaf
Graduate Student
205 McAlester Hall
Lab Area: 
Research Interests: 
  • Individual samenesses (or: invariances)
  • Bayesian hierarchical modelling
  • Social cognition: Evaluative conditioning and priming and the role of awareness
  • Cognitive Psychology: Recognition memory, perception

Twitter: @JuliaHaaf
Github: jstbcs

Selected Publications: 

Preprints

Haaf, J. M., & Rouder, J. N. (submitted). Some do and some don’t? Accounting for possible variation in strategies. PsyArXiv. PDF

Aust, F., Haaf, J. M., & Stahl, C. (submitted). A memory-based judgment account of expectancy-liking dissociations in evaluative conditioning. PsyArXiv. PDF

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

Publications

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 Cognition. doi:10.1080/02699931.2018.1429389. PDF & OSF project

Rouder, J., & Haaf, J. (in press). Power, Dominance, and Constraint: A Note on the Appeal of Different Design Traditions. Advances in Methods and Practice in Psychological Science. PDF

Rouder, J. N., Haaf, J. M., & Vandekerckhove, J. (in press). Bayesian Inference in Psychology, Part IV: Parameter estimation and Bayes factors. Psychonomic Bulletin and Review. PDF

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. doi: 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. doi:http://dx.doi.org/10.1037/met0000156 [pdf] [supp].

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. doi:10.1016/j.jmp.2017.09.002 [pdf] [supp].

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. doi: /10.1037/xge0000191 [pdf] [supp].