Professor of Psychological Methods, Statistics, and Evaluation, University of Potsdam
Contact | Short CV | Publications | Talks and Workshops | Lab Meetings | Links
I am a professor of psychological methods at the University of Potsdam. My research focuses on Bayesian hierarchical modeling of cognitive phenomena such as interference effects (Does everyone Stroop?), recognition memory, and subliminal priming. With these hierarchical models, I aim to better understand individual differences cognitive tasks. Specifically, how much do individuals differ, and how can we disentangle stable, qualitative individual differences and 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.
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.
03/2024 - current Professor of Psychological Methods, Statistics and Evaluation, University of Potsdam, Germany
03/2020 – 02/2024 Assistant Professor, Psychological Methods, University of Amsterdam, the Netherlands
12/2018 – 02/2020 Postdoctoral Scholar working with EJ Wagenmakers, Psychological Methods, University of Amsterdam, the Netherlands
12/2018 PhD in Quantitative Psychology working with Jeff Rouder, Department of Psychological Sciences, University of Missouri, USA
08/2014 MSc Psychology, research track, working with Christoph Stahl, Department of Psychology, University of Cologne, Germany
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Upcoming Talks and Workshops
Some Older Invited Talks and Workshops with Material
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
.
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The Amsterdam Mathematical Psychology Lab organizes biweekly lab meetings at the Psych Methods group to discuss topics around mathematical psychology, Bayesian modeling and computational modeling. The lab meeting is currently open to collaborators, PhD students and master students. If you would like to join on a regular basis shoot me an email!
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Julia Haaf
New Email: drjmhaaf [at] gmail [dot] com
If you are interested in working with me on a project I am happy to hear from you!
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You can find me on
Other links:
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