Julia Haaf

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

Twitter: @JuliaHaaf

Selected Publications: 


Haaf, J. M., & Rouder, J. N. (In Press). Developing Constraint in Bayesian Mixed Models. Psychological Methods. PDF

Heycke, T., Gehrmann, S. M., Haaf, J., & Stahl, C. (In-principle Accepted). A registered replication of Rydell et al. (2006). OSF project

Rouder, J. N., Haaf, J. M., & Aust, F. (In Press). From theories to models to predictions: A Bayesian model comparison approach. PDF

Rouder, J., & Haaf, J. (In Press). Power, Dominance, and Constraint: A Note on the Appeal of Different Design Traditions. PDF


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