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Richard GonzalezRichard 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

Richard Gonzalez

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

More about Teaching >>

Recent Posts

Learning how to use R

I’ll be teaching a course on R through Statistical Horizons in Philadelphia Oct 2-3, 2015. For more information…

A piece on interval scaling from the point of view of classic psychometrics

Not many researchers use the classic psychometric scaling work such as successive intervals any more. The work goes back to the early days of psychometrics (e.g., Fechner, Thurstone) and even some early mathematical psychology (e.g., Coombs). There still is use for these classic models in understanding the meaning of rating scales.

The correlation of a difference score with another variable is difficult to interpret

It is difficult to interpret a correlation when one variable is a difference score. We show in this paper how the same correlation can arise from many different patterns, with each pattern implying a different interpretation. We give examples that arise in research on dyads (e.g., studying the relation between husband and wife salary on marial satisfaction). We provide recommendations for how to test research questions involving differences and discrepancies.

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