Structural Equation Models Miami 2011

Miami Beach, Florida
Friday, November 11, 2011
Structural Equation Models Miami 2011
Friday, November 11, 2011 9:00 AM -
Saturday, November 12, 2011 4:00 PM (Eastern Time)

Courtyard Miami Beach Oceanfront Hotel
3925 Collins Avenue
Miami Beach, Florida 33140
United States

Map and Directions

Introduction to Structural Equation Models

A 2-Day Seminar

Taught by Paul D. Allison, Ph.D.

Structural Equation Modeling (SEM) is a statistical methodology that is widely used by researchers in the social, behavioral and educational sciences.  First introduced in the 1970s, SEM was a marriage of psychometrics and econometrics.  On the psychometric side, SEM allows for latent variables with multiple indicators. On the econometric side, SEM allows for multiple equations, possibly with feedback loops.  In today's SEM software, the models are so general that they encompass most of the statistical methods that are currently used in the social sciences.  

Here Are a Few Things You Can Do With Structural Equation Models

    • Test complex causal theories with multiple pathways.
    • Estimate simultaneous equations with reciprocal effects.
    • Incorporate latent variables with multiple indicators.
    • Investigate mediation and moderation in a systematic way.
    • Handle missing data by maximum likelihood (better than multiple imputation).
    • Analyze longitudinal data. 
    • Estimate fixed and random effects models in a comprehensive framework.
    • Adjust for measurement error in predictor variables.

Because SEM is such a complex and wide-ranging methodology, learning how to use it can take a substantial investment of time and effort. Now, you have a unique opportunity to learn the basics of SEM from a master teacher, Professor Paul D. Allison, in just two days.

Who Should Attend

This course is designed for researchers with a modest statistical background who want to apply SEM methods in their own research projects. No previous background in SEM is necessary.  But participants should have a good working knowledge of basic principles of statistical inference (e.g., standard errors, hypothesis tests, confidence intervals), and should also have a good understanding of the basic theory and practice of linear regression.


While there are several computer packages designed for SEM, Mplus will be used for all the empirical examples and exercises in this course. Mplus is one of the best SEM packages because of its superior capabilities for missing data, multi-level modeling, and ordinal and categorical data.  Although not essential, participants are welcome to bring their own laptop computers to the class.

Schedule and materials

The class will meet from 9 to 4 each day with a 1-hour lunch break.
Participants receive a bound manual containing detailed lecture notes (with equations and graphics), examples of computer printout, and many other useful features. This book frees participants from the distracting task of note taking.

Course outline

1.  Introduction to SEM
2.  Path analysis
3.  Direct and indirect effects
4.  Identification problem in nonrecursive models
5.  Reliability and validity
6.  Multiple indicators of latent variables
7.  Exploratory factor analysis
8.  Confirmatory factor analysis
9.  Goodness of fit measures
10. Structural relations among latent variables
11. Alternative estimation methods.
12. Multiple group analysis
13. Models for ordinal and nominal data

Registration and lodging

The fee of $795 includes all course materials. The course will be held at the Courtyard Miami Beach Oceanfront Hotel.

Cancellations received two weeks before the course begins are fully refundable (minus a $50 processing fee if you paid by credit card).

Participants must make their own arrangements for lodging. A block of rooms has been reserved at the Courtyard Miami Beach Oceanfront Hotel.  For more information, click on the Lodging tab at the top of this page.

Feedback from Recent Participants

Of those who attended the June session, 81 percent rated the course "very good" or "excellent". Here are some of the comments they made:

“This was an excellent class. I’m a nutritional epidemiologist with interest in addressing social disparities and have to deal with many latent constructs in my work. However, I don’t have the time to sit through courses on SEM and really just need to know enough to communicate with collaborators and colleagues trained in the social sciences. This course has been extremely helpful in this regard. I highly recommend it to interdisciplinary or 'aspiring' interdisciplinary scientists. Dr. Allison's breadth and depth of knowledge (and his talent for teaching) allow him to link relevant concepts across disciplines. In addition, his ability to make complex concepts simple makes this short course enjoyable and interesting. Worth flying all the way from California! Thank you!”    
May Wang, UCLA                                                         

“A systematic overview of the basic concepts about structural equations modeling. Examples in Mplus were used to illustrate the related ideas. A very helpful course for those who would like to have a comprehensive understanding of this subject."
   Anna Choi

“An excellent introduction to SEM. As a statistician, I now have another tool in my toolbox, and have expanded my ability to communicate effectively with those from other fields who are using SEM. “  
Ramzi Nahhas, Wright State University  

“The class provides a concise overview of SEMs for the non-statistical expert. Dr. Allison’s style is clear and focused. Concepts and ideas are emphasized over computing, although basic Mplus coding is covered. The class is beneficial for epidemiologists.”
   Ganesa Wegienka, Holy Family High School

 “Before this class, I had not taken any course on SEM nor used Mplus for analysis. But Professor Allison carefully introduced the concepts and backed them up with practical example using Mplus. He demonstrated a lot of mastery of the concepts and was very patient with all the course participants with mixed background. It is a 'must take' class if SEM is an application of interest to you! “  
Harrison Ndetar, Parker University           

 “This course provides the concept and uses of SEM within the period of 2 days. Prof. Allison explains things clearly and made me understand more about SEM. Thank you! “    
Nontawan Yomchinda, University of Cincinnati

“Paul did a great job of presenting very complex topics in easy-to-understand language.“
   Dennis Grey, University of Illinois at Chicago                     

 “Dr. Allison has the magic of breaking down complicated statistics into simple practical terms that anyone from any field will be able to take them home and apply them practically in their research. “  
Ju Helen Wong, University of Manchester

For information on other courses, go to




Contact Information

Payment Instructions

  • All major credit cards are accepted. The fee of $795 includes all course materials.

    If you are paying by check, make the check out to Statistical Horizons LLC and send to

    Statistical Horizons LLC
    530 New Gulph Rd.
    Haverford, PA  19041

    If you want to pay by purchase order, please email a copy of the purchase order to, or fax it to 419-818-1220.

    Our Tax ID number is 26-4576270.

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