This course provides students with an introduction to quantitative approaches for assessing the impacts of policies and programs. The focus is on understanding these methods intuitively and applying them, rather than delving deeply into their mathematical foundations. Students will explore the practical application, strengths, and limitations of randomized experiments and quasi-experimental designs through analysis and critique of examples from social work and health-related literature. The goal is to build students skills as both consumers and producers of applied empirical research. Additionally, the course includes hands-on experience with Stata, covering tasks such as data cleaning, management, and analysis of quantitative data.Prerequisites: At least one semester, but preferably one year, of graduate-level statistics,with experience in linear and logistic regression analysis. Stata statistical software will be used in the course.
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