POLSCI 699 - Statistical Methods in Political Research II
Winter 2021, Section 001
Instruction Mode: Section 001 is  Online (see other Sections below)
Subject: Political Science (POLSCI)
Department: LSA Political Science
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Advisory Prerequisites:
POLSCI 599 or equivalent and Graduate standing.
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.


POLSCI 699 - Statistical Methods in Political Research II
Schedule Listing
001 (LEC)
TuTh 2:30PM - 4:00PM
002 (DIS)
2Graduate Standing
F 11:00AM - 12:00PM

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