Quantitative Research Methods (POLS 530)

2021 Spring
Faculty of Arts and Social Sciences
Political Science(POLS)
3
10.00
Mert Moral mmoral@sabanciuniv.edu,
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English
Doctoral, Master
POLS529
Formal lecture,Interactive lecture,Recitation,Group tutorial
Discussion based learning,Project based learning,Guided discovery
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CONTENT

This course provides an introduction to quantitative research methods used in political science. Basic exposure is provided to descriptive tabular analysis and statistics, probability, distribution theory, central limit theorem, hypothesis testing, ordinary least squares and multivariate regression methods. It also aims to expose students to ethical consideration in research and publishing.

OBJECTIVE

The purpose of this course is to introduce graduate students to quantitative research methods, particularly to the theory, application, and interpretation of the most commonly used regression methods in social sciences and political science.

LEARNING OUTCOME

By the end of the semester, the students will be able to :
- comprehend and evaluate quantitative political science research,
- design and carry their own quantitative studies,
- choose and apply the most suitable methods,
- learn more advanced methods in the future.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Term-Paper 35
Participation 10
Written Report 10
Presentation 10
Homework 35

RECOMENDED or REQUIRED READINGS

Textbook

Cameron, A. Colin, and Pravin K. Trivedi. 2005. Microeconometrics: Methods and Applications. Cambridge, NY: Cambridge University Press.

King, Gary. 1998. Unifying Political Methodology: The Likelihood Theory of Statistical Inference. Ann Arbor, MA: University of Michigan Press.

Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, CA: SAGE.

Wooldridge, Jeffrey M. 2016. Introductory Econometrics: A Modern Approach. 6th Edition. Mason, OH: South-Western, Cengage Learning.

Optional Readings

Acock, Alan C. 2018. A Gentle Introduction to Stata. 6th Edition. College Station, TX: Stata Press.

Cameron, A. Colin, and Pravin K. Trivedi. 2009. Microeconometrics Using Stata. College Station, TX: Stata Press.

Long, J. Scott, and Jeremy Freese. 2014. Regression Models for Categorical Dependent Variables Using Stata. 3rd Edition. College Station, TX: Stata Press.