教學大綱 Syllabus

科目名稱:研究方法

Course Name: Research Methods

修別:必

Type of Credit: Required

3.0

學分數

Credit(s)

25

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

This course teaches students how to complete a research design and basic research methods, including both qualitative and quantitative methods. We will discuss the process of writing a research proposal and cover issues such as framing your research question, collecting data, and analyzing and interpreting data. In addition to introducing widely-used qualitative and quantitative methods in social sciences and international studies, this course will focus on how to practically answer your research questions using different qualitative or quantitative methods.    

 

This course is divided into two parts. Before the mid-term exam, our focus is on quantitative methodology, and every week we will have a one-hour R section in which you will use statistical software R to finish some tasks and analyze data. After the mid-term exam, we will focus on qualitative methodology and cover a number of methods. From Week 2 onwards, you will be given homework to work on every other week, and are expected to submit your answers to the Moodle by the next class (i.e., 9:10am on Friday). Late submissions will not be accepted. There will be a total of five homework throughout the semester. At the end of the semester, you also need to complete a research proposal no longer than 4,000 words and present it in class. The paper is due on December 22nd, 5pm, to the Moodle.

核心能力分析圖 Core Competence Analysis Chart

能力項目說明


    課程目標與學習成效Course Objectives & Learning Outcomes

    Upon completing this course, students are expected to (1) understand how to complete a research design and collect data, (2) be familiar with basic qualitative and quantitative methods, (3) acquire the essential ability to analyze data, and (4) finish a research proposal and apply an appropriate method to answer your research question.     

    每周課程進度與作業要求 Course Schedule & Requirements

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type

    週次

    Week

    日期

    Date

    課程主題

    Topic

    指定閱讀

    Required Readings

    作業

    Homework

    1

    9/13

    Course introduction 

    No readings

     

    2

    9/20

    Building theories and research design

    Chapters 1, 2, 6

    HW1

    3

    9/27

     Sampling, operationalizations, and measurement

    Chapters 5, 7, 8, 9

     

    4

    10/4

     Descriptive statistics

    Chapters 14, 15

    HW2

    5

    10/11

     Relationships between two variables

    Chapter 16

     

    6

    10/18

    Regression analysis I

    Chapter 17

    HW3

    7

    10/25

    Regression analysis II

    + Midterm review

    Chapter 17

     

    8

    11/1

    Midterm exam

     

     

    9

    11/8

    Literature review

    Chapter 3

     

    10

    11/15

    Case studies and comparative studies

    Chapter 12

    HW4

    11

    11/22

    Direct observation

    Chapter 18

    (topic confirmed)

    12

    11/29

    Focus group and elite interviewing

    Chapters 19, 20

    HW5

    13

    12/6

    Guest lecture

     

     

    14

    12/13

    Student presentation

     

     

    15

    12/20

    Student presentation

     

    Paper due

    16

    12/27

    Course wrap up

     

     

    17

    1/3

    Flexible teaching week

     

     

    18

    1/10

    Flexible teaching week

     

     

    授課方式Teaching Approach

    60%

    講述 Lecture

    10%

    討論 Discussion

    10%

    小組活動 Group activity

    10%

    數位學習 E-learning

    10%

    其他: Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    Attendance and participation: 10%; Homework: 20%; Midterm exam: 30%; Final research proposal: 40%

    指定/參考書目Textbook & References

    Required:

    • Rich, Richard C., Craig Leonard Brians, Jarol B. Manheim, and Lars Willnat. 2018. Empirical Political Analysis: Quantitative and Qualitative Research Methods. Ninth Edition. Routledge.

    Supplementary:

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

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

    已申請之圖書館指定參考書目 圖書館指定參考書查詢 |相關處理要點

    維護智慧財產權,務必使用正版書籍。 Respect Copyright.

    課程相關連結Course Related Links

    
                

    課程附件Course Attachments

    課程進行中,使用智慧型手機、平板等隨身設備 To Use Smart Devices During the Class

    需經教師同意始得使用 Approval

    列印