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Advanced Structural Equation Modeling

taught by Randy Schumacker


Brief Description:

This course covers many popular advanced SEM models with practical exercises. Models covered include Multiple Indicator an Multiple Causes models (MIMIC), Multiple Group models, Multilevel (HLM) models, Mixture models, Structured Means models, Multitrait-Multimethod models, Second Order Factor models, Interaction models, and Dynamic Factor models.

Instructor(s):
Level: Advanced

Who Should Take This Course:

Market researchers, educational researchers, sociologists and psychologists, political scientists, economists, and survey researchers.

Dates:
June 29, 2012 to July 27, 2012
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Advanced Structural Equation Modeling

taught by Randy Schumacker

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Advanced Structural Equation Modeling

taught by Randy Schumacker



Aim of Course:

This course covers many popular advanced SEM models with practical exercises. After completing this course, students will be able to specify, execute and interpret output for Multiple Indicator and Multiple Causes models (MIMIC), Multiple Group models, Multilevel (HLM) models, Mixture models, Structured Means models, Multitrait-Multimethod models, Second Order Factor models, Interaction models, and Dynamic Factor models. Students will also be able to incorporate latent variable growth curves into models (this concept takes traditional modeling of growth curves for repeated measures data, and extends it to cover the use of latent variables via SEM methods).

This course is a core requirement or elective in the following Program(s) in Analytics and Statistical Studies (PASS):

Prerequisite(s):

If you are not familiar with the basics of educational measurement and assessment, or would like a refresher, please consider taking Introduction to Assessment/Measurement in Education.


Course Program:

SESSION 1: Multiple Indicators and Causes

  • Multiple Indicator and Multiple Causes (MIMIC) model
  • Multiple-Group model


SESSION 2: Multilevel Models

  • Multilevel (HLM) model
  • Mixture model
  • Structured Means model

SESSION 3: Multitrait, Multimethod, Interacties

  • Multitrait-Multimethod model
  • Second Order Factor model
  • Interaction models


SESSION 4: Latent Variable, Dynamic Factor

  • Latent Variable Growth Curve model
  • Dynamic Factor model
  • Power and Sample Size
  • Monte Carlo Methods


HOMEWORK:

Homework in this course consists of guided data analysis problems using software and guided data modeling problems using software.

Organization of the Course:

This course takes place over the internet 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.

The course typically requires 15 hours per week. 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.


Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

The advanced SEM models are presented in the text A Beginner's Guide to Structural Equation Modeling, 3rd edition, published April 2010, by Randall E. Schumacker and Richard Lomax, and also in New Developments and Techniques in Structural Equation Modeling, ed. by Randall E. Schumacker and George Marcoulides. Both will cover the course topics, but the latter will serve as a more in-depth reference. You can order the Beginner's Guide text by clicking here, and the New Developments... text by clicking here. The CD that comes with the Beginner's Guide book contains LISREL, which the course emphasizes, as well as AMOS and EQS student versions of SEM software, while the New Developments... book does not provide these software programs. Either book can be used for the course, but please keep your software requirements in mind when ordering.

We recommend

1) If you have access to software, are comfortable with your knowledge of basic SEM and need a reference for future exploration, choose the "New Developments..." book.

2) If you need software, are only recently learning SEM and are more concerned with consolidating your knowledge, choose the "Beginner's Guide."

Software:

LISREL software will be illustrated throughout the course in lessons and assignments, and "A Beginner's Guide to Structural Equation Modeling" includes a CD with student versions of LISREL. Students will use LISREL in the course.

Examples using AMOS and/or EQS (other programs used for SEM) are included in the course text, but are not built into course materials.

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. For LISREL a limited student edition is available at http://www.ssicentral.com/lisrel/student.html. 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.

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Advanced Structural Equation Modeling

taught by Randy Schumacker



Instructor(s):
Dates:
June 29, 2012 to July 27, 2012
Course Fee: $499
Academic Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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