Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)


O  Online documents: LISREL 8 for Windows

The online documents on LISREL for Windows consist of user guides, documents about the interpretation of results, and illustrative and technical documents about the statistical methods implemented in LISREL for Windows. These documents are provided below as PDF files. Anyone of these PDF files may be accessed by clicking on the appropriate title. Some of these documents are accompanied by syntax and/or data files. These files are provided as Winzip archives that can be downloaded by clicking on the appropriate link.

U  User guides: LISREL 8 for Windows
I  Interpretation of results: LISREL 8 for Windows
I  Illustrative documents: LISREL 8 for Windows

Overview

Complete continuous variable data based on a simple random sample

Incomplete continuous variable data based on a simple random sample

Complete ordinal variable data based on a simple random sample

Multilevel data

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T  Technical documents

Continuous variable data based on a complex survey

Continuous variable data based on a simple random sample

Complete ordinal variable data based on a simple random sample

Complete censored variable data based on a simple random sample

Multilevel data

O  Other useful links

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