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Multilevel Modeling Tutorial Using SAS, State, HLM, R, SPSS, and MplusUpdated: March 2015Multilevel Modeling TutorialTable of Contents Introduction ..................................................................................................................................................
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Multilevel modeling tutorial is a statistical technique used to analyze data that has a hierarchical structure.
Researchers, statisticians, and analysts who work with hierarchical data may be required to use multilevel modeling tutorial.
To fill out a multilevel modeling tutorial, one must have knowledge of statistical software and understand how to specify the model.
The purpose of multilevel modeling tutorial is to analyze data that has a hierarchical structure and account for the dependencies among the observations.
Information such as the variables used in the model, the random effects, fixed effects, and the overall model fit must be reported on a multilevel modeling tutorial.
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