August 2022
Chuck Huber
Director of Statistical Outreach
Data are often made up of groups—students in schools, individuals in companies, repeated measurements on individuals, and the like. Whether the groupings in your data arise in a nested fashion (students nested in schools and schools nested in districts) or in a nonnested fashion (regions crossed with occupations), you can fit a multilevel model to account for the lack of independence within these groups.
Join us as we introduce the concepts and jargon of multilevel modeling for nested and longitudinal data. We will demonstrate how to fit multilevel and longitudinal models using Stata's mixed command and how to visualize the results using Stata's predict, twoway, margins, and marginsplot commands. We will also include a brief introduction to other Stata commands that can be used to fit multilevel models for binary, categorical, count, and survival data as well as multilevel structural equation models (SEMs).
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