Course catalog

Recommended - A- or higher in augmented PubPol 639: Quantitative Methods for Program Evaluation - Non Ford School Students contact the instructor for evaluation / permission. 

The objective of this course is to provide a foundation in statistics and their application to questions in public policy and social science research.

This advanced seminar challenges public policy majors to consider how policy issues are framed and addressed in a non-US context.

Pre-requisite - PubPol 639: Quantitative Methods for Program Evaluation

This course developed from an initiative of the International Policy Students Association (IPSA) at the Ford School of Public Policy. It will be in two parts.

This is a core course restricted to Ford School students only.

Students will understand how to design, execute, and interpret the results from advanced estimation techniques beyond the standard OLS model.

This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the U.S.

This is a core course restricted to Ford School students only. Registration is by permission only.

Students will understand how to design, execute, and interpret the results from advanced estimation techniques beyond the standard OLS model.

This is a core course restricted to Ford School students only.

Prerequisite: B- or better in PubPol 639 or equivalent.

This is a core course restricted to Ford School students only. Registration is by permission only.

Students will understand how to design, execute, and interpret the results from advanced estimation techniques beyond the standard OLS model.

This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, chi-squared, F), sampling distributions, confidence intervals, and hypothesis testing.

Students will understand how to design, execute, and interpret the results from advanced estimation techniques beyond the standard OLS model.

Download the Coursemart audio (.mp3)

This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.

This is a core course restricted to Ford School students only

This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.

This section explores the politics of policymaking processes in a comparative perspective. Students will learn how these processes are shaped by economic, social, cultural, and institutional factors.

This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the U.S.

This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.

This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.

This section explores the politics of policymaking processes in a comparative perspective. Students will learn how these processes are shaped by economic, social, cultural, and institutional factors.

This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.

This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the U.S.

This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the U.S.

This course covers descriptive statistics, probability theory, probability distributions (normal, binomial, Poisson, exponential), sampling distributions, confidence intervals, and hypothesis testing.