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Introduction to Multilevel Modeling

Monday, June 17, 2013 at 10:00am to 12:00pm

Savage Hall, 200

Introduction to Multilevel Modeling

Multilevel models (also referred to as mixed models or hierarchical models) are used when observations are not independent. Data clustering
occurs with many experimental designs (e.g., split plot designs), with social science data collected simultaneously on different units of analysis (e.g., households and their individual members), with
measurements taken on the same units over several time periods (longitudinal studies) and with spatial data. The purpose of this workshop is to introduce the concepts that form the basis of these models, the underlying statistical model and the estimation techniques that are used. Many examples will be presented during the workshop to enable participants to recognize such models when encountered in their own research, to analyze them and interpret the
results.

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