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Course title |
Communication Research Methods |
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Semester |
111-2 |
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Designated for |
GRADUATE INSTITUTE OF JOURNALISM |
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Instructor |
Adrian Rauchfleisch |
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Curriculum Number |
JOUR7012 |
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Curriculum Identity Number |
342EM1380 |
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Class |
02 |
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Credits |
3.0 |
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Full/Half
Yr. |
Half |
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Required/
Elective |
Required |
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Time |
Tuesday 7,8,9(14:20~17:20) |
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Remarks |
Restriction: within this department (including students taking minor and dual degree program)
The upper limit of the number of students: 15. |
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Course introduction video |
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Table of Core Capabilities and Curriculum Planning |
Table of Core Capabilities and Curriculum Planning |
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Course Syllabus
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Please respect the intellectual property rights of others and do not copy any of the course information without permission
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Course Description |
IMPORTANT: IF YOU COULD NOT BOOK THE CLASS - USE THIS FORM - WILL THEN GET IN TOUCH WITH YOU: https://forms.gle/A6d9DPsiPBwBBBvk8
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. |
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Course Objective |
- 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 |
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Course Requirement |
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Student Workload (expected study time outside of class per week) |
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Office Hours |
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Designated reading |
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/)
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References |
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.
Babbie, E. R. (2013). The practice of social research (Thirteenth edition). Belmont, Calif: Wadsworth Cengage Learning.
Singleton, R., & Straits, B. C. (2010). Approaches to social research (5th ed). New York: Oxford University Press. |
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Grading |
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