Richard Gonzalez
Center Director, Research Center for Group Dynamics, ISR
Director, BioSocial Methods Collaborative, RCGD, ISR,
Amos N Tversky Collegiate Professor, Psychology and Statistics, LSA
Professor of Marketing, Stephen M Ross School of Business
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 |
Articles in Psychology
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.
Decision making in older consumers
Here is a position statement that resulted after a 3 day workshop where 11 researchers discussed topics related to decision making in older consumers.
Research methods chapter for social psychology
This chapter discusses various issues that emerge when one undertakes research in social psychology. We walk the reader through topics such as generating research ideas, report writing, and everything in between. It was a fun chapter to write.
Review chapter on heuristics and biases in judgment
This chapter reviews the heuristics and biases approach to judgment under uncertainty. We also present our own view about the overall contribution of the research program. We sketch a framework that organizes past research and suggests new directions.
Testing research questions in dyads and groups
This chapter goes beyond the usual statistical introduction to dyadic data analysis by addressing some example research questions in shared norms and social influence.
Tutorial chapter on dyadic data analysis
This was a tutorial piece on issues surrounding dyadic data analysis.
Are you worried about cancer? Here is a genetic test….
One of the first studies on the role of cancer worry in genetic testing for breast cancer. Worry about cancer is a key variable in predicting genetic test uptake yet the variable is absent from many decision making models.
Every one (1) matters when developing structural equation models: The effects of scale
This was a fun paper to write. Most people who use structural equation modeling don’t realize that a model’s parameterization can influence the standard errors and significance tests. The effect can be quite large and can make significant effects nonsignificant or nonsignificant effects significant. People assumed that parameterization can be ignored because the overall goodness of fit is unaffected. We point out the problem and present a simple way to test parameters in structural equation modeling that is unaffected by parameterization.
Copyright © 2018 Institute for Social Research