Rutgers University 3 credits Public Administration
Covers various advanced, multivariate statistical techniques used in public administration and policy research. Begins with regression models for limited dependent variables, i.e., models for nominal outcomes, ordered outcomes, and count outcomes, using maximum likelihood estimation techniques. The course then covers the basics of panel data analyses and multi-level data analyses. Throughout, students will be given hands-on training in the use of statistical software, the interpretation of results from real data, and the translation of results into useful summaries through tables and figures. Students are encouraged to apply the methods learned to their own datasets, including data from their ongoing projects or dissertation research. Prerequisite: 26:834:607.
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