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HIERARCHICAL LINEAR MODELS I
Aline Sayer, associate professor of psychology and CRF's Methodology Program Director at UMass Amherst, and Natalya Verbitsky, Research Scientist in Statistics at the University of Chicago
Mon 25th, June 2007 - Fri 29th, June 2007
9:00am - 5:00pm
University of Massachusetts Amherst
Hierarchical linear models (HLMs) provide a conceptual framework and a flexible set of analytical tools to study a variety of social, political, and developmental processes. ne major HLM application focuses on the modeling of longitudinal data or the analysis of individual change over time. Another set of applications focuses on data in which persons are clustered within social context such as schools, neighborhoods, or organizations. Participants will be exposed to a wide variety of examples, with emphasis on the interpretation and reporting of results. This workshop is offered in collaboration with the Inter-University Consortium for Political and Social Research (ICPSR) at the University of Michigan.