POLSCI 300 - Quantitative Empirical Methods of Political Science
Section: 001
Term: FA 2017
Subject: Political Science (POLSCI)
Department: LSA Political Science
Requirements & Distribution:
SS, QR/1
Advisory Prerequisites:
One Political Science course.
May not be repeated for credit.
Primary Instructor:

This course focuses on one of the central aspects of social science: how to acquire and analyze systematically information that, for the most part, doesn’t lend itself to experimental treatment.

This course offers an introduction to the methods political scientists use to construct, to estimate, and to evaluate systematically empirical representations of theoretical propositions about politics. The course emphasizes the formulation of positive political theories; the derivation of hypotheses from, and the specification of empirical models of, those theories; and the use of data to estimate those empirical models and evaluate those hypotheses.

Course Requirements:

Regular readings, class attendance and participation, biweekly homework assignments, and a take-home final.

Problem sets (5-10 total, approx. biweekly, 5-10% each), class participation (15%), and a take-home final (35%). Depending on the credit hours, the number of the homework problem sets will vary.

Intended Audience:

This is particularly relevant for students who are interested in the quantitative study of politics.

No background in statistics is required. We use and discuss statistical concepts and reasoning, but the course instruction will include any mathematics and statistics needed from the ground up.

Class Format:

Some class sessions may involve discussion of those exercises, which students should bring, completed, to class. Lecture notes and other course materials will be provided before class sessions as well; students should have read those and bring them to class as well.

POLSCI 300 - Quantitative Empirical Methods of Political Science
Schedule Listing
001 (LEC)
TuTh 4:00PM - 5:30PM
002 (DIS)
Th 6:00PM - 7:00PM
003 (DIS)
F 9:00AM - 10:00AM
004 (DIS)
F 12:00PM - 1:00PM
NOTE: Data maintained by department in Wolverine Access. If no textbooks are listed below, check with the department.

ISBN: 0691175462
Quantitative social science : an introduction, Author: Imai, Kosuke,
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