Type of Credit: Elective
Credit(s)
Number of Students
This is a course that focuses both on the introduction of statistical concepts and the application of statistical techniques. The class will cover topics ranging from descriptive statistics to inferential statistics, including regression analysis.
能力項目說明
The goal of this course is twofold—(1) to introduce basic statistical techniques and (2) to equip students with the ability to apply these techniques in various research settings, including surveys, experiments, and content analysis. This class will also teach you how to perform real analysis using SPSS and how to make sense of outputs. Ultimately, it is hoped that by taking this class, you will be able to develop a study from scratch and finish it as a full paper.
| 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 |
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Week 1 (2/20) |
Introduction |
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Week 2 (2/27) |
First encounter with the data
Readings:
Discussion topics:
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Week 3 (3/5) |
Understanding variability
Readings:
Discussion topics:
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Week 4 (3/12) |
Probability and sampling distribution
Readings:
Discussion topics:
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Week 5 (3/19) |
Hypothesis testing (of means)
Readings:
Discussion topics:
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Week 6 (3/26) |
Comparison of means for two groups
Readings:
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Week 7 (4/2) |
Comparison of means for more than two groups
Readings:
Discussion topics:
Reference articles (1):
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Week 8 (4/9) |
Building scales, validity, and reliability test
Readings:
Discussion topics:
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Week 9 (4/16)
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Association of continuous variables—correlation & regression analysis
Readings:
Discussion topics:
Reference articles (2): Cho, J. (2013). Campaign tone, political affect, and communicative engagement. Journal of Communication, 63(6), 1130-1152.
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Week 10 (4/23)
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Hierarchical linear regression
Discussion topics:
Reference articles (3):
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Week 11 (4/30)
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Mediation
Discussion topics:
Reference articles (4):
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Week 12 (5/7)
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Interactions
Discussion topics:
Reference articles (5):
***Final paper outline (idea) due by Midnight
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Week 13 (5/14) |
Final project idea presentation |
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Week 14 (5/21) |
Association of categorical variables
Readings:
Discussion topics:
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Week 15 (5/28) |
Preliminary results presentation
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Week 16 (6/4) |
Working week 1 (No class)
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Week 17 (6/11) |
Working week 2 (No class)
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Week 18 (6/18) |
Final paper is due by midnight
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Here is a list of what I expect everyone to achieve in the class. Please be reminded that these requirements are necessary conditions for passing the class; i.e., you are not supposed to miss ANY part of the requirements.
(1) Class attendance and participation (10%):
Although attendance seems to be a very basic requirement, I found some people have problem fulfilling it. As a result, please be reminded that I will pay special attention to attendance and punctuality. Students who missed the class twice will be downgraded 3 points (missing 3 times will result in a 6-point downgrade, etc.). I will also grade your participation in class. It is not enough that you just come to class. You are expected to finish the readings before class and actively discuss the readings or methodological problems.
(2) Assignments (30%)
I will give take-home assignments for practice, which should be printed out and turned in to the instructor in the next class. Late assignments will NOT be accepted.
(3) Research ideas and result presentations (15%; 5% for ideas and 10% for the results)
In order to help you finish your term paper on time, I will ask you to propose a research idea on Week 13 and present some preliminary findings on Week 15. You are expected to present a research framework with a diagram to facilitate understanding of your research model.
(4) Individual research project (30%)/presentation (5%)
Finally, what you have learned in the class will culminate a FULL research paper of your interest, which should be based on quantitative analysis. Specifically, this will include outlining a problem, translating the problem into research questions and testable hypotheses, developing measures, and providing an analytic answer. Feel free to provide appendices or additional materials to justify your analytic choices or show competing analytic approaches. In order to produce high-quality papers, the data collected by the Taiwan Communication Surveys are recommended. Therefore, the final paper will pretty much be involving secondary data analysis.
All written assignments in this class should be formatted using 12-point font (Arial, Helvetica, or Times New Roman) and double line spacing, and follow APA style (6th version). Please also make sure that all of your assignments live up to minimal professional standards, i.e., are stapled, have cover pages, page numbers, etc.
In addition, each seminar participant is expected to present his or her research paper to the course, including a longer discussion of the methodological and statistical challenges you encountered in your study. Each paper will also be discussed by another participant, similar to a conference presentation. For the presenters, this means that they should share their papers with their discussant at least 48 hours before the presentation. The discussants, in turn, are expected to provide informed and critical feedback. Like all academic discourse, this feedback should be based on evidence and information rather than normative views and opinions.
The final paper is due at 5pm on June 21, 2017. Please upload your paper to our class Web site. Late paper will not be accepted.