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Teaching SEM using OpenMx

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Picture of user. Fruhling Joined: 06/09/2010

OpenMx Summer School

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Teaching SEM using OpenMx
Could you please add this to the workshop list:

11th MRC Social, Genetic and Developmental Psychiatry Centre Summer School
12th – 16th July 2010
Institute of Psychiatry, King’s College London, London UK
Twin Model Fitting: Introducing the New OpenMx
Next year's OpenMx course: June 20th - 24th, 2011. Registration opens in October 2010.

This course will teach the basic principles of the classical twin model as well as the basic skills to analyze twin data by teaching delegates how to write simple scripts and how to interpret the output.

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Picture of user. neale Joined: 07/31/2009

OpenMx Workshop, Free University of Amsterdam

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Teaching SEM using OpenMx
This thread is to accompany the April 9 2010 workshop at the Free University of Amsterdam. Frequent last minute course revisions and script thingies will be posted here.
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Picture of user. neale Joined: 07/31/2009

OpenMx Workshop, Free University of Amsterdam

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Teaching SEM using OpenMx
This is the Forum for uploading example scripts and presentations for the April 9, 2010 workshop on OpenMx. The draft schedule is as follows:

Program:
Time: Topic: Teachers
8.00 – 8.45 Arrival
8.45 – 9.00 Welcome
9.00 – 10.30 Session 1 Introduction to R and OpenMx Mike Neale /Marleen de Moor
10.30 – 11.00 Coffee break
11.00 – 12.30 Session 2 Univariate twin models Mike Neale /Meike Bartels
12.30 – 13.30 Lunch
13.30 – 15.00 Session 3 Threshold and multivariate models Hermine Maes /Dorret Boomsma
15.00 – 15.30 Coffee break

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Picture of user. Steve Joined: 07/30/2009

Week 7: Maximum Likelihood, Fit Functions, and Data Diagnostics

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UVa Introduction to SEM - Spring 2010
This week's class first covers the basics of maximum likelihood and how various fit functions are calculated and used. This section includes caveats about what is assumed in ML and what can go wrong. Pay attention to the particularly interesting violation of assumptions that leads to the conclusion that every brown haired male in the U.S. is President Obama.

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Picture of user. Steve Joined: 07/30/2009

Week 6: Latent Structure

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UVa Introduction to SEM - Spring 2010
Week 6 of the course presents concepts in latent structure and measurement models. We take a look at 3 possible ways of using latent structure to test theories:

  1. the number of factors problem, i.e., can we collapse two scales into one;
  2. multiple regression using latent variables, i.e, how do we test the prediction of one latent variable from another and what are some limits on our abilities to test such theories; and
  3. mediation models with latent variables and some of the limitations on the conclusions that one can draw from fitting mediation models.
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Picture of user. neale Joined: 07/31/2009

General Discussion about Workshop

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Twin Workshop 2010
This list is for general discussion of the workshop that doesn't neatly fit into one of the days 1-5
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Picture of user. Steve Joined: 07/30/2009

Week 5: Confirmatory Factor Models

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UVa Introduction to SEM - Spring 2010
In the fifth week of the course, we turn our attention to latent variables.

The lecture begins with a review of transformation matrices and principal components from a theoretic standpoint.

We then see how models that include latent predictors can be estimated and gain an understanding of problems of identification.

Next we fit a bunch of OpenMx models to a simulated data set and see how simple structure can emerge.

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Picture of user. Steve Joined: 07/30/2009

Week 4: Manifest Variable Models in OpenMx

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UVa Introduction to SEM - Spring 2010
This week we start with an introduction to R. Then we introduce the OpenMx data structures and syntax. Next, we work through the same models we used last week.

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Picture of user. Steve Joined: 07/30/2009

Week 3: Introduction to Path Analysis

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UVa Introduction to SEM - Spring 2010
The third week of the class focuses on path analysis. We calculate the model-expected components of covariance for some regression models using both path analysis tracing rules and the RAM-style matrix calculation of the effects matrix. These same simple regression models will be used next week as we introduce the OpenMx software syntax.

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Picture of user. Steve Joined: 07/30/2009

Week 2: Matrix Algebra Review

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UVa Introduction to SEM - Spring 2010
The second week of the class is dedicated to reviewing concepts and definitions from matrix algebra that are useful in specifying, fitting, and -- most important -- understanding SEM models. These notes are derived from the course in matrix algebra taught by Ledyard Tucker and passed on by John Nesselroade. I adapted them and translated them into LaTeX for the slides you see here.

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