PB AF 528
Second quarter of a two-quarter sequence aimed at helping students become informed users and critical consumers of research and statistical analysis. Combines material on research design and data collection methods with tools for multivariate analysis. The multivariate analysis methods include correlation and an introduction to multivariate regression. Prerequisite: PB AF 527.
This course is the second in a two-course sequence aimed at helping Evans School MPA students become informed users and critical consumers of research and statistical analyses. This course introduces the application of probability, hypothesis testing, and confidence intervals to multivariate models in the context of policy and management research.
Student learning goals
Formulate answerable research questions that address complex policy questions;
Be aware of the conditions necessary to establish causal relationships on a given outcome, emphasizing the need to disentangle the effects of multiple factors;
Recognize the implications of research design choices, randomization, concept measurement, and good data collection for the validity and reliability of research results;
Discriminate among data collection methods appropriate to answer a given research question, such as surveys, focus groups, key informant interviews, administrative data, or other methods;
Select appropriate univariate, bivariate, or multivariate analytic techniques to answer a given policy or management question;
Understand the mechanics, assumptions, and interpretation of regression models to policy or management questions, how to use regression models for both prediction and hypothesis testing, and the assumptions behind and possible "fixes" for problems with models.
General method of instruction
Class assignments and grading