2004-05 Program on Latent Variable Models in the Social Sciences

Research Foci
Description of Activities
Further Information

Research Foci

Latent variables are widespread in the social sciences. Whether it is intelligence or socioeconomic status, many variables cannot be directly measured. Factor analysis, latent class analysis, structural equation models, error-in-variable models, and item response theory illustrate models that incorporate latent variables. This SAMSI program will take a broad look at latent variables and measurement error. Issues of causality, multilevel models, longitudinal data, and categorical variables in latent variable models are examples of the SAMSI topics for this program.

Program Leaders: Kenneth A. Bollen (Chair), James J. Heckman, Alan F. Karr, and Susan A. Murphy

Description of Activities

• Workshops
  • Tutorials and Opening Workshop, September 11-14, 2004
  • Mid-Program Focused Workshop Symposium on Causality, March 29, 2005
    
  • Closing Workshop, May 19-21, 2005
• Courses
  • Seminar Course (Fall, 2004) An Overview of Latent Variable Models in the Social Sciences
• Working Groups

Further Information

Final Program Report (pdf)

Questions? Send E-mail to [email protected].

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