Structural Equation Models With Latent Variables

Instructor(s):

• Douglas Baer, Sociology, University of Victoria

This course will introduce participants to latent variable structural equation models (SEMs). It provides an overview of the statistical theory underlying SEMs and will introduce participants to practical examples involving some of the commonly used SEM software packages (AMOS, LISREL and MPlus). Topics include path analysis, confirmatory factor analysis, multiple indicator models, model identification, model fit, multiple group models and models for means and intercepts. The course does not require prior experience with SEM software. Participants should have a strong background in regression analysis and at least a basic familiarity with matrix algebra; a background in factor analysis is helpful but not required.

Dates:  July 20-August 14 

Fee:  consult the fee structure