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PRELIS and LISREL were primarily used for structural equation modeling (SEM) and similar analyses (e.g., confirmatory factor analysis and path analysis). However, LISREL is now a comprehensive data analysis application that can be used to perform linear and nonlinear multilevel or hierarchical linear modeling (HLMs), generalized linear modeling, univariate and multivariate censored regression, and formal inference-based recursive modeling. The analysis of complex samples is also available including generalized linear modeling for complex samples and implementation of design weights in multilevel modeling and sampling weights for SEM.
Throughout this tutorial, the following three data sets will be used: data.100, ex7.raw, and ex64.cov. The data sets are available here for download. If you have LISREL 8.7 installed locally on your own computer, these and other sample data sets are available as part of the LISREL 8.7 installation.
This tutorial is designed specifically to introduce users to the programming language of PRELIS and LISREL. For a detailed overview of SEM and the assumptions of SEM, see the AMOS or Mplus tutorial.
Additional PRELIS and LISREL information may be found on the Web at the SSC FAQs and the Scientific Software International Web site.