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you can use this for a wide array of statistics problems including classification, regression, and survival analysis. typically, lisrel is used in the following areas: social research, educational research, medical research, pharmaceutical research, technical research, and engineering research.
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lisrel is popular as professional sem software because of its superb functionality and easy to use interfaces. it is often recommended for educational as well as management or social scientists who want to use sem techniques. lisrel supports all sem types including the path-analytical, correlation, regression, structural equation modeling (sem) for the analysis of structural equation modeling - structural equation modeling, the newest growth modeling techniques, or even causal path analysis for structural equation modeling. lisrel provides multilevel, clustered, a posteriori (data from previous tests), balanced incomplete block design (data from previous tests), and other types of multilevel or clustered design. it also lets you define the test sample size in advance of the analysis.
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