Longitudinal and Content 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. While this is sometimes not recognized, multilevel models for longitudinal data are closely related to other important longitudinal data models, such as fixed effects regression, an important technique for controlling for unobserved variables. This course focuses on the use of multilevel and longitudinal data analysis for social work research.
Students must be at the doctoral level to enroll in this class. Those with less than doctoral standing must seek permission of the course instructor. Master's level students should submit a Course Enrollment Petition (on the SSW web site) and consult with the course instructor. Students at less than doctoral standing that enroll may be dropped from the course.
Other SW864 Offerings
The course listings below are provided for reference only. These offerings may be subject to changed of cancellation.
No other course offerings found this term.