Society for Social Work and Research

Sixteenth Annual Conference Research That Makes A Difference: Advancing Practice and Shaping Public Policy
11-15 January 2012 I Grand Hyatt Washington I Washington, DC

RMW-3 Multilevel and Longitudinal Analysis

Thursday, January 12, 2012: 8:00 AM-12:00 PM
Independence D (Grand Hyatt Washington)
Speaker/Presenter:
Andrew Grogan-Kaylor, PhD, University of Michigan-Ann Arbor
Multilevel models have become a standard statistical tool for quantitative research on neighborhoods, communities and schools. Perhaps surprisingly, the multilevel model for crosssectional data can easily accommodate longitudinal data, where study participants are observed repeatedly over the course of time. This workshop focuses on the use of multilevel models for cross-sectional and longitudinal data analysis for social work research. The workshop is conceptualized as covering the following topics: (1) the wide prevalence of clustered data in social research, and the necessity of statistically accounting for clustering, (2) the multilevel model for cross-sectional data, (3) the extension of multilevel modeling to longitudinal research (i.e. growth trajectory models), and (4) multilevel models for categorical outcomes.
Multilevel models have become a standard statistical tool for quantitative research on neighborhoods, communities and schools. Perhaps surprisingly, the multilevel model for crosssectional data can easily accommodate longitudinal data, where study participants are observed repeatedly over the course of time. This workshop focuses on the use of multilevel models for cross-sectional and longitudinal data analysis for social work research. The workshop is conceptualized as covering the following topics: (1) the wide prevalence of clustered data in social research, and the necessity of statistically accounting for clustering, (2) the multilevel model for cross-sectional data, (3) the extension of multilevel modeling to longitudinal research (i.e. growth trajectory models), and (4) multilevel models for categorical outcomes.
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