課程資訊
課程名稱
傳播研究方法
Communication Research Methods 
開課學期
112-2 
授課對象
社會科學院  新聞研究所  
授課教師
劉好迪 
課號
JOUR7012 
課程識別碼
342EM1380 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期二7,8,9(14:20~17:20) 
上課地點
新聞315 
備註
本課程以英語授課。
限本系所學生(含輔系、雙修生)
總人數上限:15人 
 
課程簡介影片
 
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課程概述

While this course is primarily aimed at graduate-level students, undergraduates may be considered on a case-by-case basis under exceptional circumstances.
IMPORTANT: IF YOU COULD NOT BOOK THE CLASS - USE THIS FORM - WILL THEN GET IN TOUCH WITH YOU: https://forms.gle/Y1GJkj2aWhhMs369A
You can also directly contact me: adrian.rauchfleisch@gmail.com

This course offers a comprehensive overview of research methods in communication science. You will be introduced to various research designs, including experiments, surveys, content analysis, and computational approaches to data analysis. You will also learn how to critically evaluate social science research, including open science's importance and how qualitative and quantitative methods can be used in conjunction. We will utilize the programming language R to analyze and visualize data throughout the course as well as some Python for automatic content analysis. 

課程目標
- learn the basic methods in social research
- learn how to use R
- be ready to conduct your own research
- be prepared for social research in the big data age
- be prepared to start your thesis
 
課程要求
 
預期每週課後學習時數
1. Assignments (20%)
- Short weekly assignments in the first third of the semester
2. Midterm quiz (25%)
3. Research proposal (5%)
- Write a 1-2 page research proposal.
4. Final presentation (5%)
- Present preliminary results of your research project
5. Research report (45%)

 
Office Hours
 
指定閱讀
 
參考書目
Research methods in social sciences (available in the course folder)
Babbie, E. R. (2013). The practice of social research (Thirteenth edition). Belmont, Calif: Wadsworth Cengage Learning.
Croucher, S. M., & Cronn-Mills, D. (2021). Understanding Communication Research Methods. Routledge.
Singleton, R., & Straits, B. C. (2010). Approaches to social research (5th ed). New York: Oxford University Press.
Salganik, M. J. (2018). Bit by bit: social research in the digital age. Princeton: Princeton University Press. (https://www.bitbybitbook.com/en/1st-ed/preface/)

Data visualizations and statistics (available in the course folder)
Healy, K. (2018). Data visualization: a practical introduction. Princeton, NJ: Princeton University Press. (http://socviz.co/)
Wheelan, C. J. (2014). Naked statistics: stripping the dread from the data. New York: Norton.
Kabacoff, R. (2015). R in action: data analysis and graphics with R (Second edition). Shelter Island: Manning.
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
無資料