This course introduces graduate students to quantitative methods in political science. During the first half of the course, we will focus on linear regression models. The topics covered include discussions of the mathematical bases for such models, their estimation and interpretation, model assumptions and techniques for addressing violations of those assumptions, and topics related to model specification and functional forms. During the second half of the course, students will be introduced to the likelihood principle as a theory of inference, including models for binary and count data.
The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to interpret quantitative analyses in published work, to understand the logic of statistical inference and to recognize and understand basic regression models. It provides the skills necessary to conduct your own quantitative analyses and teaches how to do so using R. This class lays the foundation for Advanced Quantitative Methods, which will be taught in Spring 2022.
Lectures take place on Wednesdays, and corresponding labs are on Thursdays (same week) and Mondays and Tuesdays (following week). Homework assignments are assigned and collected on Tuesdays, and you have one week to complete them. Office hours are online, on Mondays (lab) and Tuesdays (lecture).
Wednesday (Thomas) 8:30-10:00
Thursday (Oliver) 10:15-11:45 in A5,6 C-108
Monday (Viktoriia) 12:00-13:30 in A5,6 C-108
Tuesday (David) 17:15-18:45 online
Assigned after Tuesday lab
Due Tuesday in a week, 23:59
HWs 1-2: HWs 3-10:
Midterm - 50%
Data Essay - 50%
Problem Sets - Pass/Fail
Here you can find the info you need to prepare for lecture and labs.
We expect everyone will have questions at some point in the semester, so we encourage you to use the following resources for help.
If you have a question during lecture or lab, feel free to ask it! There are likely other students with the same question, so by asking you will create a learning opportunity for everyone.
The teaching team is here to help you be successful in the course. You are encouraged to attend office hours during the times posted on the home page to ask questions about the course content and assignments. From our experience, we can best help if you come with a specific question in mind.
For time management reasons, if you plan to come to Monday or Thursday (lab) office hours, we ask you to please sign up by 17:00 on the day before (you can use the form below), with at least one specific question you want to have answered. You don’t need to sign up for Tuesday office hours.
Students regularly run into the same issues as one another, so it’s helpful to ask these questions in a shared space. You are thus welcome to post questions in our Slack workspace, in the
#help channel. You can ask questions and help each other out by answering questions of your peers. We will monitor the channel and try to respond to your questions there ASAP.
If you have questions about personal matters that are not appropriate for the public space like Slack channels (e.g., illness, accommodations, etc.), please don’t hesitate to email us.