Structural Equation Modeling: Part 2

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Date(s) - 09/14/2020 - 10/12/2020
All Day


For the last several years, Dr. Paul Allison has been teaching his acclaimed two- and five-day 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 runs from September 14, 2020 to October 12, 2020. It 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. It consists of 14 modules:

– Review of SEM
– Nonrecursive models
– Instrumental variables
– Known reliability for single indicators
– Second-order factor analysis
– Formative indicators
– Alternative estimation methods.
– Multiple group analysis
– Interactions with latent variables
– Models for ordinal and nominal data
– Missing data on binary variables
– Models for censored and event-time data
– Indirect effects in non-linear models
– Models for longitudinal data

The modules contain videos of the 4-day remote 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. You may submit your work for review by Dr. Allison.

Each week, there are 2-3 assigned articles 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.

The fee of $495 (USD) includes all course materials. All major credit cards are accepted.

For more information and to register, visit

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