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
The important role of replication in research
This paper is gaining some new interest given the recent attention the field of social psychology is giving to the issue of replication. When we wrote this paper the field was debating the use of null hypothesis testing. We argued that replication needs to be emphasized as well. But this wasn’t new to Fisher who wrote:
Setting up an interdisciplinary design education program
This reports emerged from a series of workshops funded by NSF on different approaches to interdisciplinary design education. It provides a comparison of several degree programs.
How we distort probability when choosing between risky options
This paper builds on our previous work suggesting a functional form for how people distort probability in the context of prospect theory. Our earlier work tested simple conditions of curvature (i.e., concavity and convexity) using specially designed choice ladders. The approach in this paper is different. We use a choice-based cash equivalence procedure and then compute a global model fit. We develop a nonparametric algorithm to estimate the general shape of the distortion’s functional form. The shape is well modelled using a linear in log odds functional form.
Data analysis for distinguishable dyads
In this paper we present methods for the analysis of dyadic data when the two members are distinguishable (e.g., gender distinguishes the members in a heterosexual couple). We develop the pairwise model for the distinguishable case and show that it provides identical parameter estimates as a latent level model in a structural equations model framework.
