SemesterSpring Semester, 2025
DepartmentInternational Master's Program in International Studies, First Year International Master's Program in International Studies, Second Year
Course NameQuantitative Methods in the Studies of International Relations
InstructorLEE CHIA-YI
Credit3.0
Course TypeElective
Prerequisite
Course Objective
Course Description
Course Schedule









































































































































週次



Week

日期



Date

課程主題



Topic

指定閱讀



Required Readings

作業



Homework

1

2/20

Course introduction 



No readings

 

2

2/27

Research design

Agresti & Finlay, Chapter 1



Shively, Chapter 2

HW1

3

3/6

Sampling and measurement

Agresti & Finlay, Chapter 2

HW2

4

3/13

Descriptive statistics

Agresti & Finlay, Chapter 3

HW3

5

3/20

Probability and distribution

Agresti & Finlay, Chapter 4

HW4

6

3/27

Confidence interval

Agresti & Finlay, Chapters 5

HW5

7

4/3

No class (public holiday)

 

 

8

4/10

Significance test

Agresti & Finlay, Chapters 6

 

9

4/17

Midterm exam

 

 

10

4/24

Linear regression

Agresti & Finlay, Chapter 9

HW6

11

5/1

Multiple regression

Agresti & Finlay, Chapters 10 & 11

HW7

12

5/8

Time-series and cross-national analysis

Bell & Jones (2015)

HW8

13

5/15

Guest lecture

 

(topic confirmed)

14

5/22

Logistic regression

Agresti & Finlay, Chapter 15

HW9

15

5/29

Count data analysis

Monogan, Chapter 7

HW10

16

6/5

Presentations of term papers

 

 

17

6/12

Flexible teaching week

 

 

18

6/19

Flexible teaching week

 

 

Teaching Methods
Teaching Assistant

Anthony Chuang (莊雲澔)，lasib890612@gmail.com


Requirement/Grading

Aside from the obvious requirements—class attendance, punctuality, and reading ahead in preparation for lectures, you are required to work on 10 problem sets. Each problem set accounts for 3% of the total grades. I will distribute problem sets every Thursday, and will expect to receive your homework by next Thursday prior to class (submitted to Moodle). Late assignments will not be accepted. Some problem sets are analytical and theoretical, so you are allowed to hand write the answers, although a typed one will be preferred. Some problems sets require you to use the statistical software, and in this case you have to type up your answers. Students are encouraged to work in groups to solve the homework problems, although your submitted homework should be done by yourself.



 



Students are also expected to form teams with 2-3 persons to produce a research paper, which applies quantitative methods from this course. However, PhD students should finish a paper by their own efforts. The structure of the research paper is given in the appendix. The paper should be no longer than 4,500 words. You need to turn in a list of your team members and the paper topic in Week 13 and present your paper in Week 16. The paper is due on Friday, June 6, 11:59pm via Moodle. All students in the same team will get identical grades for the paper, so be sure to collaborate and don’t free ride.



 



Distribution of final grade:



Weekly homework: 30%; Research paper & presentation: 30%; Midterm exam: 40%


Textbook & Reference

Required readings:




  • Agresti, Alan and Barbara Finlay. 2014. Statistical Methods for the Social Sciences. Fourth Edition. New Jersey: Pearson.



Supplementary reading:




  • Shively, Phillip W. 2012. The Craft of Political Research. Ninth Edition. New York: Prentice Hall.

  • Monogan, James E. 2015. Political Analysis Using R. Springer.

  • Bell, Andrew, and Kelvyn Jones. 2015. “Explaining fixed effects: Random effects modeling of time-series cross-sectional and panel data.” Political Science Research and Methods 3(1): 133-153.


Urls about Course
Attachment