POLSCI 699 - Statistical Methods in Political Research II
Section: 001
Term: WN 2018
Subject: Political Science (POLSCI)
Department: LSA Political Science
Credits:
4
Advisory Prerequisites:
POLSCI 599 or equivalent and Graduate standing.
Repeatability:
May not be repeated for credit.
Primary Instructor:

This course is an introduction to the quantitative methodology of the social sciences. A thorough introduction to linear-regression analysis is complemented by a more preliminary introduction to the analysis of non-linear functional relationships (especially those associated with binary dependent variables). Teaches students how to construct, estimate, and interpret empirical models which match their theoretical counterparts and maximize leverage from available data for the empirical evaluation of those theoretical propositions. Classic linear regression model, extensions thereof, specifications and data issues therein (such as omitted variables, multicolinearity, and multiplicative interactions), criticism of such models, and some introduction to time-series and binary-dependent-variable models.

Course Requirements:

No data submitted

Intended Audience:

Graduate students

Class Format:

Seminar meets twice a week for an hour and a half each. There is a section taught by a GSI that meets once a week for two hours.

POLSCI 699 - Statistical Methods in Political Research II
Schedule Listing
001 (LEC)
 
11884
Open
11
 
-
TuTh 2:30PM - 4:00PM
002 (DIS)
P
24660
Open
11
11Graduate Standing
-
Th 4:00PM - 5:00PM
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