SEM Basics 06 - Matrix Modeling - Latent Variable Modeling pt.2
Channel: OpenMx TV
Date: 23/05/2017

In this video you will learn latent variable modeling in OpenMx.

Download R: https://www.r-project.org/
Download OpenMx: http://openmx.ssri.psu.edu/installing-openmx
Data and Scripts: https://drive.google.com/drive/folders/0B48ddQ1HQJCEekN5WDV3NURNanM?usp=sharing

OpenMx runs on Mac OS X, Windows (XP, Vista, 7, 8), and several varieties of Linux. This means the same scripts you write in Windows will run in Mac OS X or Linux.

OpenMx is free and open source software for use with R that allows estimation of a wide variety of advanced multivariate statistical models. OpenMx consists of a library of functions and optimizers that allow you to quickly and flexibly define an SEM model and estimate parameters given observed data.

OpenMx can be used by those who think in terms of path models or by those who prefer to specify models in terms of matrix algebra. OpenMx is extremely powerful, taking full advantage of the R programming environment. This means that complicated models and data sets can be specified and modified using the R language.