Spring 2024 - POL 201 B100
Introductory Quantitative Methods in Political Science (4)
Class Number: 5331
Delivery Method: Blended
Introduces quantitative research techniques in political science. Introduces important analytical and conceptual skills necessary to understand and evaluate quantitative political science research. Quantitative.
The objective of this module is to introduce students to the practice of quantitative data analysis in the social sciences. The lecture component of the module will provide an introduction to the fundamentals of quantitative measurement, and statistical description, causal inference, and hypothesis testing. It will also provide a foundation for understanding the statistical models used in the social sciences. In the laboratory component, students will learn to apply these techniques to the analysis of social science data. Through lab assignments, students will have the opportunity to test hypotheses and explanations on major research data sets. The module should provide a sound grasp of the possibilities, methods, and dangers inherent in quantitative social and political research. I assume no prior background with using a statistical computer package; however, you will spend significant time in the course learning how to use computers to conduct statistical analyses.
BLENDED Course Format:
Each week will have approximately 5 x 20 minutes = 100 minutes of asynchronous lecture time, 50 minutes of in-person meeting time (optional except when indicated as mandatory), and 110 minutes of in-person tutorials.
- Lab Assignments 30%
- Problem Sets 15%
- Mid‐Term Exam 25%
- Final Exam 30%
THE FUNDAMENTALS OF POLITICAL SCIENCE RESEARCH
BY KELLSTEDT, PAUL M. AND WHITTEN, GUY D.
CAMBRIDGE UNIVERSITY PRESS
PUBLICATION DATE: JUL. 26, 2018
REQUIRED READING NOTES:
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Department Undergraduate Notes:
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