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
Does interacting with others make you more confident in your judgments?
We examine how individuals become more overconfident in their knowledge when interacting with other decision makers. In three studies we test several possible explanations. The most consistent explanation for our findings is one of “rationale construction” where confidence increases by virtue of having to explain or justify one’s choices to others.
How do we distort probability when making risky decisions?
We present preference conditions for the curvature of the probability weighting function in the context of cumulative prospect theory. Those conditions are tested with a new “ladder” procedure.
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:
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.
Measuring the degree of ordinal association between two variables
In this paper Tom Nelson and I review several alternative measures of association. Most researchers make ordinal statements such as “when one variable goes up, the other goes down.” But then they assess such an ordinal statement with a Pearson correlation or a linear regression. There are better measures available as reviewed in this paper. We also address the thorny issue of how to handle ties in data.
Negotiation in Environmental Disputes
Extending standard negotiation theory to solving disputes involving the environment.
Introduction to the analysis of dyadic data
A chapter in the APA Handbook of Research Methods in Psychology. The chapters provides a basic introduction to the analysis of dyadic data.
A semantic approach to the theory of evidence
We develop a semantic model for evidence that deals with interactions between propositional structure, evidence, and judgments of belief.
A historical review of the judgment heuristics literature
We provide a historical overview of the Heuristics and Biases research program that describes its intellectual antecedents and the special role of the rational actor model in shaping its methods, and we review the program’s evolution over the course of three waves of research and theory development.
Copyright © 2018 Institute for Social Research