Professor Dr. Michel Regenwetter (Department of Psychology – University of Illinois, USA) will give a workshop entitled “Heterogeneity of Behavior: Order-Constrained Modeling and Data Analytics”.
Synopsis:
. This workshop addresses a conceptual, mathematical, and statistical framework to model heterogeneity of behavior and better understand the scope of psychological theory.
. Workshop participants will learn to move beyond a psychology of averages and think of variability of behavior as a source of information for scientific inquiry rather than mere noise.
. This workshop provides a basic introduction to order-constrained models and associated statistical inference methods, including frequentist and Bayesian approaches.
. No advanced mathematical modeling or quantitative analytics skills are required. The workshop aims to speak to a broad audience with a broad range of scientific interests. If you are willing to think deeply about variability and heterogeneity, this workshop should have something to offer.
Who can participate:
Researchers, master and post-graduate students across the behavioral sciences who are curious about variability, theory, and modern statistical modeling—no advanced math required.
Logistics:
. Attendees are welcome to come and go as they please. The workshop has a modular structure. Missing a part is not a major problem.
. The workshop is interactive and aims to accommodate/adapt to participants’ interests.
. Attendees who would like to try out our mathematical modeling and data analytics software QTEST during the workshop, can download this from https://regenwetterlab.web.illinois.edu/qtest/ Note that the download is data intensive.
When/Where: 29th April 2025, 9h30 – 12h30 and 14h30 – 17h00, at UA – Universidade de Aveiro (Room 5.1.52, DEP).
To participate, please register by sending an email with the subject “Regenwetter Workshop registration” to: dep-wjcr.ua-media@ua.pt
About the speaker:
Michael Regenwetter is a Professor Psychology, Political Science, as well as Electrical and Computer Engineering at the University of Illinois. He is an affiliate member of the Center for Social and Behavioral Science and of the Coordinated Science Laboratory at Illinois. After having double majored in Psychology and Mathematics at the University of Bonn (Germany), Regenwetter completed a PhD in Mathematical Behavioral Sciences at UC Irvine (USA). Regenwetter received the 1999 Young Investigator Award of the Society for Mathematical Psychology, co-received the 2012 Exeter Prize for Research in Experimental Economics, Decision Theory, and Behavioral Economics, and is an elected fellow of both the Association for Psychological Science and of the Psychonomic Society. He has co-authored an award-winning book as well as numerous journal articles spanning several scientific disciplines.
Funding:
U.S. National Science Foundation grant SES # 20-49896 (PI: M. Regenwetter, Co-PI: D. Cavagnaro)
William James Center for Research – University of Aveiro (DOI: 10.54499/UIDB/04810/2020)
Selected relevant references:
Davis-Stober, C. & Regenwetter, R. (2019). “The `paradox’ of converging evidence.” Psychological Review, 126, 865-879.
Regenwetter, M. & Cavagnaro, D.R. (2019). “Tutorial on Removing the Shackles of Regression Analysis: How to Stay True to Your Theory of Binary Response Probabilities.” Psychological Methods, 24, 135-152.
Regenwetter, M., Dana, J. & Davis-Stober, C. (2011). “Transitivity of preferences.” Psychological Review, 118, 42-56.
Regenwetter, M. & Davis-Stober, C. (2012) “Behavioral variability of choices versus structural inconsistency of preferences.” Psychological Review, 119, 408-416.
Regenwetter, M., Davis-Stober, C.P., Lim, S.H., Cha, Y.-C., Guo, Y., Messner, W., Popova, A., & Zwilling, C. (2014). “QTEST: Quantitative Testing of Theories of Binary Choice.” Decision, 1, 2-34.
Regenwetter, M. & Robinson, M. (2017). “The construct-behavior gap in behavioral decision research: A challenge beyond replicability.” Psychological Review, 124, 533-550. Zwilling, C.E., Cavagnaro, D.R., Regenwetter, M., Lim, S.H., Fields, B., & Zhang, Y. (2019). “QTEST 2.1: Quantitative Testing of Theories of Binary Choice Using Bayesian Inference.” Journal of Mathematical Psychology, 91, 176-194
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