Introduces quantitative research methodology, including techniques needed to explore the student’s doctoral thesis questions from a quantitative perspective. Offers students an opportunity to learn how to move from designing a quantitative study to data collection through analysis and interpretation of quantitative data. Topics include the basic logic of statistical inference, the manipulation and description of data, survey techniques, and secondary data analysis. Covers a variety of statistical methods used within policy research to calculate descriptive statistics and techniques to evaluate the relationship between variables such as crosstabs, t-tests, correlation, and regression analysis. Students apply these techniques through assignments and performing quantitative data analysis.