Social Science

Experimental Political Science: Causal Inference, Design and Analysis

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The purpose of this course is give students a broad, yet deep understanding of the issues involved in the design and analysis of experiments in each of the major experimental traditions in the discipline, including experimental political economy, political psychology and survey experiments (we will also briefly touch on field experiments, “natural” experiments and quasi- experimental design). After a brief review of the history of experimental re- search in political science, we will cover the (Neyman)-Rubin Causal Model (RCM, also known as the potential outcomes framework). This conceptual framework will serve as the basis for our understanding of all of our notions of causal inference in the course, and is also useful in thinking about the design of observational studies.

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Detail Information

Series Title

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Call Number

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Publisher

: ., 2012

Collation

1-14

Language

English

ISBN/ISSN

N735

Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Experimental Political Science: Causal Inference,

Specific Detail Info

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