Assistant professor at the University of Amsterdam
Contact | Publications | Talks and Workshops | Links
I am an assistant professor at the Psychological Methods Unit of the University of Amsterdam. My research focuses on Bayesian hierarchical modeling of cognitive phenomena such as interference effects (Does everyone Stroop?), recognition memory, and subliminal priming. I am mainly interested in individual differences in cognitive tasks and how to disentangle stable, qualitative individual differences from sample noise.
Even though a large part of my research is developing statistical models, I am an experimental psychologist at heart, and I get excited about innovative, bold experimental designs. But I also believe that statistics are important to express and test psychological theory. And that Bayesian statistics are better suited to do so than conventional t-tests or ANOVA. My work particularly focuses on the usefulness of ordinal constraints in modeling. It seems that ordinal constraints are particularly well suited to capture theoretical predictions in psychology.
Before my current position I was a postdoctoral research fellow working with EJ Wagenmakers at the Department of Psychological Methods (University of Amsterdam). Prior to that I earned my PhD in quantitative psychology from the University of Missouri working with Jeff Rouder.
Throughout my research, I try to be transparent and provide data, code, and open access to manuscripts I wrote. Click here for a list of publications.
And this is Frank, my cat.
Preprints
Gronau, Q. F., Heck, D., Berkhout, S., Haaf, J. M., & Wagenmakers, E. (submitted). A Primer on Bayesian Model-Averaged Meta-Analysis. PsyArXiv. PDF
Haaf, J. M., Hoogeveen, S., Berkhout, S., Gronau, Q. F., & Wagenmakers, E. J. (2020). A Bayesian Multiverse Analysis of Many Labs 4: Quantifying the Evidence against Mortality Salience. PsyArXiv. PDF GitHub
Haaf, J. M., Klaassen, F., & Rouder, J. N. (submitted). Capturing Ordinal Theoretical Constraint in Psychological Science. PsyArXiv. PDF
Haaf, J. M., & Rouder, J. N. (submitted). Does Every Study? Implementing Ordinal Constraint in Meta-Analysis. PDF
Hoogeveen, S., Altay, S., Bendixen, T., Berniūnas, R., Bulbulia, J. A., Cheshin, A., ..., Haaf, J.M., ..., & van Elk, M. (2020). The Einstein effect: Global evidence for scientific source credibility effects and the influence of religiosity. PDF
Rouder, J. N., & Haaf, J. M. (submitted). Optional Stopping and the Interpretation of The Bayes Factor. PsyArXiv. PDF
Rouder, J. N., Kumar, A., & Haaf, J. M. (submitted). Why Most Studies of Individual Differences With Inhibition Tasks Are Bound To Fail. PsyArxiv. PDF
Sarafoglou, A., Haaf, J. M., Ly, A., Gronau, Q. F., Wagenmakers, E., & Marsman, M. (2020, August 19). Evaluating Multinomial Order Restrictions with Bridge Sampling. PDF
In Press
van den Bergh, D., Haaf, J. M., Ly, A., Rouder, J. N., Wagenmakers, E.-J. (in press). A Cautionary Note on Estimating Effect Size. Advances in Methods and Practices in Psychological Science. PDF
van Doorn, J., van den Bergh, D., Boehm, U., Dablander, F., Derks, K., Draws, T., Evans, N.J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharsky, S., Ly, A., Marsman, M., Matzke, D., Raj, A.K.N., Sarafoglou, A., Stefan, A., Voelkel, A.G., & Wagenmakers, E.-J. (in press) The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin and Review. PDF
Haaf, J. M., Rhodes, S., Naveh-Benjamin, M., Sun, T. K., Snyder, H. K., & Rouder, J. N. (in press). Revisiting the Remember-Know Task: Replications of Gardiner and Java (1990). Memory & Cognition. OSF project & PDF
Rouder, J. N., Haaf, J. M. (in press). Beyond Means: Are There Stable Qualitative Individual Differences in Cognition? Journal of Cognition. PDF
Tierney, W., Hardy, J. H., III., Ebersole, C., Viganola, D., Clemente, E., Gordon, M., Hoogeveen, S., Haaf, J., Dreber, A.A., Johannesson, M., Pfeiffer, T., Chapman, H., Gantman, A., Vanaman, M., DeMarree, K., Igou, E., Wylie, J., Storbeck J., Andreychik, M.R., McPhetres, J., Vaughn, L.A., Culture and Work Morality Forecasting Collaboration, & Uhlmann, E. L. (in press). A creative destruction approach to replication: Implicit work and sex morality across cultures. Journal of Experimental Social Psychology, 93, 104060. link
2020
Haaf, J. M., Merkle, E. C., & Rouder, J. N. (2020). Do items order? The psychology in IRT models. Journal of Mathematical Psychology, 98, 102398. PDF
2019
Aust, F., Haaf, J. M., & Stahl, C. (2019). A memory-based judgment account of expectancy-liking dissociations in evaluative conditioning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(3), 417-439. htp://dx.doi.org/10t.1037/xlm0000600 . PDF & OSF project
Haaf, J. M., Ly, A., & Wagenmakers, E.-J. (2019). Retire significance, but still test hypotheses. Nature, 567, 461. https://doi.org/10.1038/d41586-019-00972-7.
Haaf, J. M., & Rouder, J. N. (2019). Some do and some don’t? Accounting for variability of individual difference structures. Psychonomic Bulletin and Review, 26(3), 772-789. https://doi.org/10.3758/s13423-018-1522-x PDF
Rouder, J. N., & Haaf, J. M. (2019). A Psychometrics of Individual Differences in Experimental Tasks. Psychonomic Bulletin and Review, 26(2), 452-467. https://doi.org/10.3758/s13423-018-1558-y. PDF
Rouder, J. N., Haaf, J. M., Davis-Stober, C., & Hilgard, J. (2019). Beyond overall effects: A Bayesian approach to finding constraints across a collection of studies in meta-analysis. Psychological Methods. http://dx.doi.org/10.1037/met0000216. PDF
Rouder, J. N., Haaf, J. M., & Snyder, H. K. (2019). Minimizing Mistakes In Psychological Science. Advances in Methods and Practices in Psychological Science, 2(1), 3-11. https://doi.org/10.1177/2515245918801915. PDF
Snyder, H. K., Rafferty, S. M., Haaf, J. M., & Rouder, J. N. (2019). Common or Distinct Attention Mechanisms for Contrast and Assimilation. Attention, Perception, & Psychophysics, 81(6). 1944-1950. https://doi.org/10.3758/s13414-019-01713-8. PDF
2018
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)
Heycke, T., Gehrmann, S. M., Haaf, J., & Stahl, C. (2018). Of two minds or one? A registered replication of Rydell et al. (2006). Emotion and Cognition, 32(8). https://doi.org/1708-1727.10.1080/02699931.2018.1429389. PDF & OSF project
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
2017
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
2016
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
⇡ up
Upcoming Talks and Workshops
Recent Invited Talks and Workshops
git
and R Markdown
: Two Useful Tools for a Fully Reproducible Workflow (October, 2019). Workshop invited by the Open Science Community Amsterdam. The slides can be found here.Invite Me! I enjoy giving workshops and talks. If you would like to invite me to your university, contact me. My expertise is in Bayesian hierarchical modeling, individual differences, meta-analysis, and reproducible coding in R
.
⇡ up
Julia Haaf
Psychological Methods
Nieuwe Achtergracht 129-B | Room G0.34
University of Amsterdam
New Email: j.m.haaf [at] uva [dot] nl
If you are interested in working with me on a project I am happy to hear from you!
You can find me on
Other links:
⇡ up