Hierarchical Linear Models I: Introduction
The hierarchical linear model (HLM) provides a conceptual framework and a flexible set of analytic tools to study a variety of social, political, and developmental processes. One 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 contexts, such as couples, families, schools, neighborhoods, or organizations. Participants will be exposed to a wide variety of examples, with emphasis on the interpretation and reporting of results.
Instructors: Aline Sayer, Psychology, UMass and Natalya Verbitsky, University of Chicago.
Class size limited.
This workshop is co-sponsored with the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan. CRF actively supports and disseminates social and behavioral sciences research on issues relevant to families.