Structural Equation Models with Latent Variables
Psychology 844
Spring 2011

Note: We're meeting in 347 Davie Hall Wednesdays from 9:30-noon.

Brief Course Description

This course introduces a wide range of topics in structural equation models with latent variables, including history, underlying theory, controversy, applications in personality and social psychological research, and practical use in model specification with major existing computer packages. Specific topics include model specification, estimation, modification, evaluation, and comparisons. In addition, most recent developments in the field, including debates on goodness-of-fit and model modification, as well as modeling factor structures with "special" data situations (i.e., non-normal data, missing data, "other than" interval level data, nested data, growth, mixed models, are also considered.

This course is partitioned into three sections. The first section deals with basic issues in covariance structure modeling, including logic behind these models, criticisms, and issues in identification, estimation, and assessment of model fit. The second section examines some published applications and begins to explore various "special" data situations. The final section demonstrates the utility and flexibility of these models in multimodal cases -- that is, where observations are made across groups, methods, situations, and/or time.

If you would like to access course materials, click below.

Structural Equation Models!!

Only enrolled students have access to the Psychology 844 portion of this web site. If you do not have the code and are interested in seeing the course materials, you should contact Dr. Panter at panter@unc.edu.

What Will You Find Here?

Among other items, this portion of the web site contains: p844 News, a class list, the course syllabus and course philosophy, detailed descriptions of homework assignments, data sets to download, course outlines and overhead lecture notes, information about the Special Topics presentations (and associated reference lists and electronic files, SEM computer program information and links, and contact information.