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On-Demand Seminar

Structural Equation Modeling: Part 2

A 4-Week On-Demand Seminar Taught by

Paul Allison
Course Dates:

Monday, August 15 —
Monday, September 12, 2022

Schedule:

Each Monday you will receive an email with instructions for the following week.

All course materials are available 24 hours a day. Materials will be accessible for an additional 2 weeks after the official close on September 12.

Watch Sample Video

For the last several years, Dr. Paul Allison has been teaching his acclaimed short seminars on Structural Equation Modeling to audiences around the world. This Part 2 seminar covers advanced SEM topics, like instrumental variables, alternative estimation methods, multiple group models, models for binary and ordinal data, models for longitudinal data, and much more. To take Part 2, you should already have some knowledge of SEM, ideally by taking Part 1.

The course takes place in a series of four weekly installments of videos, quizzes, readings, and assignments, and requires about 6-8 hours/week. You can participate at your own convenience; there are no set times when you are required to be online. The course can be accessed with any recent web browser on almost any platform, including iPhone, iPad, and Android devices. The course videos are divided into 9 lectures covering the following topics:

  1. Review of SEM
  2. Nonrecursive models
  3. Instrumental variables
  4. Known reliability for single indicators
  5. Second-order factor analysis
  6. Formative indicators
  7. Alternative estimation methods.
  8. Multiple group analysis
  9. Interactions with latent variables
  10. Models for ordinal and nominal data
  11. Missing data on binary variables
  12. Models for censored and event-time data
  13. Indirect effects in non-linear models
  14. Models for longitudinal data

The modules contain videos of the 4-day livestream version of the course in its entirety. Each module is followed by a short multiple-choice quiz to test your knowledge. There are also weekly exercises that ask you to apply what you’ve learned to a real data set.

Each week, there is an assigned article to read. There is also an online discussion forum where you can post questions or comments about any aspect of the course. All questions will be promptly answered by Dr. Allison.

Downloadable course materials include the following pdf files:

  • All slides displayed in the videos.
  • Exercises for each week.
  • Readings for each week.
  • Computer code for all exercises (in Mplus, SAS, Stata, and R formats).
  • A certificate of completion.

More details about the course content

Computing

Who should register?

Registration instructions

"Highly recommended for the intermediate to advanced SEM user.”

“I have been using and teaching SEM for 30 years and still learned very valuable insights regarding SEM that I did not know until I took this course. Highly recommended for the intermediate to advanced SEM user.”

Tor Neilands

University of California, San Francisco

“The clear and thorough explanations of the material were great, as well as the time taken to work through the assignments."

“The clear and thorough explanations of the material were great, as well as the time taken to work through the assignments. Because of the on-line format, I could pause to write notes, and go back at the end to watch the lectures a second time. I retain much more of the material than in a standard classroom format.”

Michael Foley

Washington State Department of Labor and Industries

"...provides lots of opportunities to practice the skills you’re learning.”

“The course includes lots of examples and in-class exercises, which provides lots of opportunities to practice the skills you’re learning.”

Alexandra Schneider

Rocky Mountain MIRECC

“The availability of Dr. Allison to answer any and all questions..."

“The availability of Dr. Allison to answer any and all questions, the clarity of the presentations, and the applied exercises were all top-notch.”

Monique Ernst

NIMH/NIH

"I benefitted from his course on SEM tremendously..."

“Professor Allison is not only an extremely knowledgeable scholar on the subject matter, but also a highly effective instructor. He makes advanced data analysis and statistics easier for students of all levels to learn and master. I benefitted from his course on SEM tremendously and am actually looking forward to using SEM to answer some research questions that I previously couldn’t due to lack of confidence (even after taking 1 grad course on SEM and spending many hours self-learning). Thank you, Professor Allison.”

Yuning Wu

Wayne State University

"... Dr. Allison welcomed all questions."

“During this course was my first time using Mplus. I got a lot of practice and feel somewhat comfortable using it. It was also great that Dr. Allison welcomed all questions. Finally, the detailed notes and slides are great.”

Anonymous

Student

"... the exercises and activities allow opportunities to practice the techniques in class and after class."

“The course is taught so that people at various levels of understanding are able to understand the concepts. Furthermore, the exercises and activities allow opportunities to practice the techniques in class and after class. The course is also structured so that you can receive individual feedback if you desire.”

Juan Barthelemy

University of Houston

"... I am confident to say I have learned a lot in a short space of time."

“I came into the program with bare minimum knowledge of structural equation modeling. At the end of the course, however, I am confident to say I have learned a lot in a short space of time. I am also excited now about using structural equation modeling and so it is definitely going to be an integral part of my research methods toolkit.”

Uchechi Anaduaka

Lingnan University