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
Examining similarity asymmetries in judgment of perceptual stimuli
This work extends Tversky’s features of similarity model to judgments of color and propose a computation model for the key empirical result.
Minority game: Some insights about group dynamics
This chapter presents some of our behavioral experiments using the minority game paradigm.
Promoting health in older adults through partner interaction
An application of the actor-partner interaction model in older adult males with heart disease.
Treating Dyadic Data with Respect
This chapter summarizes some of our work on dyadic data analysis. It is written more as a tutorial highlighting the pairwise approach to computing the intraclass correlation, which is a building block to many dyadic analytic techniques such as the actor-partner interaction model and the latent variable dyadic model.
