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. Statistics.com's SEM courses are taught by
Prof. Randall Schumacker, a leader in the field. "Introduction to Structural Equation Modeling" is offered at
statistics.com. For more details please visit at http://www.statistics.com/sem.
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
- PRELIS
- 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 statistics.com 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 statistics.com accepts
registration for its courses at special prices in Indian Rupees through its
partner, the Center for eLearning and Training (C-eLT), Pune (www.c-elt.com).
Call:
020 66009116
Websites:
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