Structural Equation Models with Latent Variables


  • Douglas Baer, 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 (sem in STATA, lavaan in R and MPlus). Topics include path analysis, confirmatory factor analysis, multiple indicator models, model identification, model fit, multiple group models, models for means and intercepts and growth curve models. If time permits, we will briefly cover models for ordinal and categorical data.

Software: The course does not require prior experience with SEM software.

Prerequisites: Participants should have a strong background in regression analysis; a background in factor analysis would be helpful but is not required.

Fees: Consult the fee structure.

Tags: structural equations, SEM, LISREL, latent variables

Course Sections

Section 1

Location: ICPSR -- Ann Arbor, MI

Date(s): July 22 - August 16

Time: 3:00 PM - 5:00 PM


  • Douglas Baer, University of Victoria