INTRODUCTION TO STRUCTURAL EQUATION MODELS
Covariance Structure Analysis (LISREL) Professor Ross L. Matsueda Lecture Notes Do not copy, quote, or cite without permission INTRODUCTION TO STRUCTURAL EQUATION MODELS I. Description of the course. A. Objectives and scope of the course. B. Logistics of enrollment, auditing, requirements, distribution of notes, access to programs. C. Syllabus: assignments, readings, grading, topics. II. Historically, the major utility of STRUCTURAL EQUATION MODELS . A. Multiple equations . B. Measurement error (multiple indicators). C. Non-recursive relationships. II. Brief History of STRUCTURAL EQUATION MODELS (a way of representing phenomena using mathematical linear equations of random variables). A. Origins: Genetics, Economics, Psychology, Sociology 1. Genetics: Sewall Wright introduced path analysis to population genetics in 20s and 30s.
Stata 12 has Structural equation modeling (SEM) using either graphical commands (like SIMPLIS) or command syntax in scalar algebra (like EQS), as well as GSEM (Generalized Structural Equation Models) and GLAMM (Generalized Linear Latent and Mixed Models).
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