Thursday, 9 May 2013

Introduction to Structural Equation Modeling

Many statistical methods were "invented" long ago, but laid around idle, waiting for computers to empower them.  Structural equation modeling (SEM), (and its subsidiary concept of "latent constructs" that can't be measured directly), is one.'s SEM courses are taught by Prof. Randall Schumacker, a leader in the field. "Introduction to Structural Equation Modeling" is offered at For more details please visit at

Structural Equation Modeling (SEM) is a general statistical modeling technique to establish relationships among variables.  A key feature of SEM is that observed variables are understood to represent a small number of "latent constructs" that cannot be directly measured, only inferred from the observed measured variables.  This course covers the theory of SEM, and practical work with computer software and real data.  It covers the key concepts in SEM - at the conclusion of the course students will be able to specify different forms of models, using observed, latent, dependent and independent variables. Student will be able to conduct confirmatory factor analysis, and diagram SEM models.

Who can take this course?
Market researchers, educational researchers, sociologists and psychologists, political scientists, economists, and survey researchers.

Course Program:

Course outline: The course is structured as follows


SESSION 1: Preliminaries

  • LISREL software installation
  • Data entry and Data Edit issues
  • Correlation and Covariance Data Files

SESSION 2: Modeling

  • SEM Basics
  • Regression models
  • Diagramming Models
  • Path Analysis Models

SESSION 3: Measurement Models

  • Exploratory vs. Confirmatory factor analysis
  • Latent Variables
  • CFA models

SESSION 4: Developing Structural Equation Models

  • Combining Path and Factor Models
  • 5 Basic SEM steps
    • Model Specification
    • Model Identification
    • Model Estimation
    • Model Testing
    • Model Modification
  • Amos Audio/Video Presentation

Instructor, Dr. Randall E. Schumacker, is Professor in Educational Research at the University of Alabama. Dr. Schumacker was the founder, editor (1994-1998), and is the current emeritus editor of Structural Equation Modeling: A Multidisciplinary Journal. He also founded the Structural Equation Modeling Special Interest Group at the American Educational Research Association.

You will be able to ask questions and exchange comments with the instructors via a private discussion board throughout the course.   The courses take place online at in a series of 4 weekly lessons and assignments, and require about 15 hours/week.  Participate at your own convenience; there are no set times when you must be online. You have the flexibility to work a bit every day, if that is your preference, or concentrate your work in just a couple of days.

For Indian participants accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune (

For India Registration and pricing, please visit us at

Call: 020 66009116


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