Introduction to Structural Equation Modeling (SEM)

Introduction to Structural Equation Modeling (SEM)

This course will teach you the fundamental concepts and theory of Structural Equation Modeling, including model specification, model identification, model estimation, model testing, and model modification.

This course will teach you the fundamental concepts and theory of Structural Equation Modeling, including model specification, model identification, model estimation, model testing, and model modification.

$799 | Enroll Now
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Overview

This course covers the theory of Structural Equation Modeling (SEM) – a general statistical modeling technique to establish relationships among variables. It explores the key feature of SEM – that observed variables are understood to represent a small number of “latent constructs” that cannot be directly measured, only inferred. It includes practical work with computer software and real data.

Intermediate Level Course
4-Week Course
100% Online Courses
Expert Instructors
Teacher Assistant Support
Tution-Back Guarantee

Learning Outcomes

At the conclusion of this 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.

  • Install LISREL, enter and edit data
  • Specify various SEM models
  • Define and identify latent variables
  • Test and modify SEM models
  • Implement models in software

Who Should Take This Course

Researches and analysts who want to go beyond simple models and incorporate multi-directionality, multiple causes and latent variables.

Instructors

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Dr. Randall .E. Schumacker

Dr. Randall E. Schumacker

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

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Course Syllabus

Week 1

Preliminaries

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

Week 2

Modeling

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

Week 3

Measurement Models

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

Week 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

Class Dates

2023

Oct 27, 2023 to Nov 24, 2023

2024

Oct 25, 2024 to Nov 22, 2024

2025

No classes scheduled at this time.

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Prerequisites

Participants should have some familiarity with statistical modeling (e.g. regression) and the basics of educational measurement and assessment.

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What Our Students Say​

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I greatly appreciated learning about SEM from a foremost expert of the subject. I now have a more thorough understanding of SEM from theoretical and practical perspectives.

Joel Lane
Portland State University
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I am only beginning to use SEM. Without the course I would have lacked the understanding and confidence to try and use SEM. I now feel confident that I could apply one of the models and use the results for work purposes and publication.

Celeste Combrinck
Centre for Evaluation and Assessment
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Frequently Asked Questions

What is your satisfaction guarantee and how does it work?

We offer a “Student Satisfaction Guarantee​” that includes a tuition-back guarantee, so go ahead and take our courses risk free. That’s our commitment to student satisfaction. Students may cancel, transfer, or withdraw from a course under certain conditions. If you’re not satisfied with a course, you may withdraw from the course and receive a tuition refund.

Please see our knowledge center for more information.

Who are the instructors at the Institute?

The Institute has more than 60 instructors who are recruited based on their expertise in various areas in statistics. Our faculty members are:

  • Authors of well-regarded texts in their area;
  • Advisory board members;
  • Senior faculty; and
  • Educators who have made important contributions to the field of statistics or online education in statistics.

The majority of our instructors have more than five years of teaching experience online at the Institute.

Please visit our faculty page for more information on each instructor at The Institute for Statistics Education.

Please see our knowledge center for more information.

What type of courses does the Institute offer?

The Institute offers approximately 80 courses each year. Topics include basic survey courses for novices, a full sequence of introductory statistics courses, bridge courses to more advanced topics. Our courses cover a range of topics including biostatistics, research statistics, data mining, business analytics, survey statistics, and environmental statistics.

Please see our course search or knowledge center for more information.

Do your courses have for-credit options?

Our courses have several for-credit options:

  • Continuing education units (CEU)
  • College credit through The American Council on Education (ACE CREDIT)
  • Course credits that are transferable to the INFORMS Certified Analytics Professional (CAP®)

Please see our knowledge center for more information.

Is the Institute for Statistics Education certified?

The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV). For more information visit: https://www.schev.edu/

Please see our knowledge center for more information.

Visit our knowledge base and learn more.

FAQs + Knowledge Base

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Additional Course Information

Organization of Course

This course takes place online at The Institute for 4 weeks. During each course week, you participate at times of your own choosing – there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirements

This is a 4-week course requiring 10-15 hours per week of review and study, at times of your choosing.

Homework

Homework in this course consists of short answer questions to test concepts, guided data analysis problems using software, and guided data modeling problems using software.

In addition to assigned readings, this course also has supplemental readings available online, and an exam.

Course Text

All necessary materials are provided in the course.  For those wishing more detail and a ready reference the recommended course text is A Beginner’s Guide to Structural Equation Modeling, 4th edition, published Dec 2015, by Randall E. Schumacker and Richard Lomax.

Please order a copy of your course textbook prior to course start date.

Software

The course will provide illustrations in LISREL, a programming environment. You can download a free student version of LISREL from the textbook website. The Introductory guide and user’s manual are also available here. TA’s can provide LISREL support if needed.

Course staff will not be available to illustrate or help with examples other than those included in the course. Students are encouraged to visit each software website to obtain the latest student versions of the software. Some, but not all software can be obtained on vendor websites.

MAC users note: LISREL software is not available for Macintosh. Mac end users run the Windows editions of the software products using Virtual PC or VM on Power PC Macs (G series) or the Windows OS on Intel-based Macs.

Software Uses and Descriptions | Available Free Versions
To learn more about the software used in this course, or how to obtain free versions of software used in our courses, please read our knowledge base article “What software is used in courses?” 

Course Fee & Information

Enrollment
Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date unless you specify otherwise.

Transfers and Withdrawals
We have flexible policies to transfer to another course or withdraw if necessary.

Group Rates
Contact us to get information on group rates.

Discounts
Academic affiliation?  In most courses you are eligible for a discount at checkout.

New to Statistics.com?  Click here for a special introductory discount code.  

Invoice or Purchase Order
Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment.

Options for Credit and Recognition

This course is eligible for the following credit and recognition options:

No Credit
You may take this course without pursuing credit or a record of completion.

Mastery or Certificate Program Credit
If you are enrolled in mastery or certificate program that requires demonstration of proficiency in this subject, your course work may be assessed for a grade.

CEUs and Proof of Completion
If you require a “Record of Course Completion” along with professional development credit in the form of Continuing Education Units (CEU’s), upon successfully completing the course, CEU’s and a record of course completion will be issued by The Institute upon your request.

Supplemental Information

Literacy, Accessibility, and Dyslexia

At Statistics.com, we aim to provide a learning environment suitable for everyone. To help you get the most out of your learning experience, we have researched and tested several assistance tools. For students with dyslexia, colorblindness, or reading difficulties, we recommend the following web browser add-ons and extensions:

 

Chrome

 

Firefox

 

Safari

  • Navidys (for colorblindness, dyslexia, and reading difficulties)
  • HelperBird for Safari (for colorblindness, dyslexia, and reading difficulties)

Miscellaneous

There is no additional information for this course.

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Introduction to Structural Equation Modeling (SEM)
$799 | Enroll Now
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