Thursday, January 12, 2012: 8:00 AM-12:00 PM
Independence D (Grand Hyatt Washington)
Speaker/Presenter:
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.
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.
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