This course offers an introduction to quantitative research methods for public policy. By the end of the semester, students should be better acquainted with quantitative methods conducive to empirical policy research and the ability to understand and critique the techniques employed by others. No prior knowledge of statistics is assumed and we will make every effort to address concepts both quantitatively and theoretically. Additionally, every student will attend a weekly lab session run by a teaching assistant in which concepts will be reinforced, where possible, through hands-on application using Stata. The goal of this course is not only to produce sophisticated consumers of quantitative research but to provide the necessary skills for students to conduct their own research. As such, we eschew the conventional stopping point for an introductory statistics course and spend several weeks on multiple regression. Almost no phenomena in the social world result from singular causality, so a useful applied course must train students in assessing multiple causality. We do so. Attendance in both lecture and lab is mandatory. I urge students to keep up with the readings since the information in this class is highly cumulative.
Please note: students with a strong statistic background can apply for a waiver and attend the Statistics II course instead. The waiver process for 1st year students will be organized via Moodle.