Statistics I: Descriptives, inference and regression

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 R. The goal of this course is not only to produce sophisticated consumers of quantitative research but also to provide the necessary skills for students to conduct their own research.

Please note: Students with a strong statistics background can apply for a waiver to attend the Statistics II course instead. The waiver process for 1st year students will be organised via Moodle 

Instructor

  • Mark Kayser , Professor of Applied Methods and Comparative Politics