PIA 2022 - QUANTITATIVE METHODS

Minimum Credits: 3
Maximum Credits: 3
Introduction to quantitative methods is a foundation course that provides an overview of statistical methods and hands-on applications to managerial decision-making in the public sector. Understanding statistical analysis and being able to work with data are important competencies of professionals in public policy and administration. Course topics include program evaluation, data collection and measurement in public policy and administration, descriptive statistics, hypothesis testing, processes for selecting statistical tests and assessment of statistical assumptions, measures of association and other bivariate statistics, index variable construction, regression analysis, and an overview of selected other statistical and quantitative methods applied to problems of public administration. Students get hands-on experience through the use of a statistical analysis tool. Recognizing the social, political, and economic context of data collection, analysis, and reporting practices in the public sector, this course also discusses the ethics of data analysis and information technology policy and management.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: Graduate School of Public and International Affairs students only.

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