Richard Gonzalez
Center Director, Research Center for Group Dynamics, Institute for Social Research
Co-Director, BioSocial Methods Collaborative
Amos N Tversky Collegiate Professor, Psychology and Statistics, LSA
Professor of Integrative Systems and Design, College of Engineering
| E-mail: | Email Richard Gonzalez |
| Address: | Research Center for Group Dynamics Institute for Social Research University of Michigan 426 Thompson Street Ann Arbor, Michigan 48106 |
| Phone: | 734-647-6785 |
About Me
I received my PhD in 1990 from Stanford University in Psychology. I worked with Phoebe Ellsworth studying psychology and law and with Amos Tversky studying mathematical modeling and judgment and decision making. I spent seven years at the University of Washington’s Psychology department, a sabbatical year at Princeton University, and have been at the University of Michigan’s Psychology department since 1997. More about me >>
Research
My research interests focus on judgment and decision making (JDM). Given that so many topics in psychology are related to JDM it makes it look as though I work on many different topics. Actually, I see a simple theme across all my research. I am interested in how people make judgments and what influences their decisions and choices. More about Research >>
People
I’ve been fortunate to work with amazing colleagues, coauthors, collaborators, and students throughout my career. Read about People >>
Teaching
- Theories of Social Psychology
- General Linear Modeling Course
- Multivariate Statistics
- Generalized Linear Modeling Course
- Structural Equations Modeling Course
- Statistics Animation Page
- Design Science PhD Program
Recent Posts
Health disparities among blacks: It isn’t just due to skin color
The study suggests that even subtle differences in Afrocentric features can have serious long-term health consequences among Blacks. Clinical implications of the findings are discussed.
Exploiting a well-known bias to infer some detailed properties of how we distort probabilities
We make use of a series of choice questions based on the common consequence setup, much like the classic Allais problem, to show that we can infer concavity and convexity properties of how we distort probabilities in decision.
Using computer adaptive methods to select the next query in a decision making study
We extend the adaptive design optimization (ADO) approach to decision making under risk. ADO is a Bayesian method that adapts the experimental design in real time; it chooses the next question that can maximally discriminate the predictions of competing theories.
When words speak louder than actions
The behavior of others serves an important cue in our decision making, but we show cases where sometimes we are more influenced by an individual’s evaluation than their actions, suggesting that at times words can speak louder than actions.
