教學大綱 Syllabus

科目名稱:媒體與社會研究方法

Course Name: Foundations in Researching Media and Social World

修別:選

Type of Credit: Elective

3.0

學分數

Credit(s)

30

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

This course is specifically designed for GCIT students who either a) have never conducted research before, b) have never designed their own research before, or c) have conducted research before, but have never done so in one of the social sciences (i.e., communication, psychology, sociology, etc.). It takes a ground-up approach to give these students a comprehensive understanding of 1) what kinds of research designs are appropriate for a master’s level capstone or thesis, 2) how to prepare a research proposal, and 3) the basic components of a research paper. It is intended to be taken the semester before beginning a capstone project or thesis, although it can be taken earlier if the student so chooses. This course is NOT open to students from other departments or courses under any circumstances.

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

    1. Students should understand the core principles of ethics and practical and/or theoretical impact when it comes to study design.
    2. Students should be able to design a basic study on their own.
    3. Students should be able to craft a proposal that adequately explains the purpose, design, and importance of a project.

    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

    Date

    Topic

    Course Content

    Required Readings

    Notes

    09/15

    Introduction

    • Introduction to professor
    • Review syllabus
    • Q&A with professor

    N/A

    N/A

    09/22

    Introduction to Research Variables

    • What is a variable?
    • Structuring a hypothesis
    • Structuring a research question

    1 (Chapters 2 & 3)

    N/A

    09/29

    Overview of Qualitative Techniques

    • Goals of qualitative work
    • Interviews/Focus Groups
    • Content Analyses

    9, 10

    N/A

    10/06

    Overview of Quantitative Techniques

    • Goals of quantitative work
    • Experiments
    • Surveys

    2 (Chapter 1)

    N/A

    10/13

    Performing a literature review

    • Introduction to Google Scholar
    • Introduction to APA formatting
    • Practice Time!

    3

    Bring your laptop to work on!

    10/20

    Writing an Introduction

    • Three paragraph structure
    • Practice Time!

    N/A

    Bring your laptop to work on!

    10/27

    Ethics in Research I

    • Basic ethical principles in research with human subjects
    • Research conducted abroad vs. in Taiwan
    • Going through a typical ethics committee application

    4

    N/A

    11/03

    Ethics in Research II

    • Ethical study design
    • Workarounds for common ethical obstacles
    • Designing an informed consent document

    5

    Bring your laptop to work on!

    11/10

    Writing a Theoretical Background

    • Structuring around variables
    • Structuring around research questions
    • Practice Time!

    N/A

    Introduction due by 11:59pm

     

    Bring your laptop to work on!

    11/17

    Designing for impact

    • How to turn a thesis into a capstone and vice versa
    • Thinking of academic impact
    • Thinking of societal impact

    1 (Chapter 9)

    N/A

    11/24

    Qualitative Data Analysis I

    • Learning the steps for grounded theory

    7

    N/A

    12/01

    Qualitative Data Analysis Part II

    • Learning the steps for dictionary-based content analysis

    6

    N/A

    12/08

    Writing a Methodology

    • Learning the basic structure
    • For proposal vs. For thesis/capstone
    • Practice Time!

    N/A

    Theoretical Background due by 11:59pm

     

    Bring your laptop to work on!

    12/15

    Practical Planning

    • Planning a research budget
    • Recruitment strategies
    • Time Management

    5

    N/A

    12/22

    Quantitative Data Analysis Part I

    • Installing R & R Studio
    • Importing data
    • Basic data cleaning and manipulation

    2 (Chapter 3)

    Bring your laptop to work on!

    12/29

    Quantitative Data Analysis Part II

    • Deciding what kind of analysis you need
    • Running an ANOVA
    • Running a t-test
    • Running a regression

    2 (Chapters 7 & 10)

    Methodology due by 11:59pm

     

    Bring your laptop to work on!

    01/05

    Free time to work on your final proposals – no class!

    01/12

    Building something practical from research

    • Educational product
    • Policy-based product
    • Evaluation of a technique

    8

    Proposal due by 11:59pm

    授課方式Teaching Approach

    80%

    講述 Lecture

    0%

    討論 Discussion

    0%

    小組活動 Group activity

    0%

    數位學習 E-learning

    20%

    其他: Others: In-class individual practice time

    評量工具與策略、評分標準成效Evaluation Criteria

    • The course is structured around the creation of a capstone/thesis proposal, and it is this proposal that will constitute 85% of the course grade. However, this grade will be divided into four subsections that each have a different due date.
      • Introduction – 20%
      • Theoretical Background – 30%
      • Methodology – 25%
      • Final proposal – 10%
        • The final proposal will be graded based on your edits of the feedback given on the previous three parts. This will not constitute writing a new proposal, but rather putting together and editing the three previous sections upon which you have already received feedback.
      • Individual rubrics will be presented in class for each assignment, but generally-speaking, you will be graded on 1) formatting, 2) English quality, and 3) content accuracy/mastery for each of the three subsections of the proposal that are handed in.
    • Final presentation – 15%
      • This will be a 10-minute presentation describing …
        • What your research topic is
        • The current state of the literature
        • The importance of your topic
        • Your research questions and/or hypotheses
        • Your proposed research design
      • It will be graded as follows:
        • Staying within 9-11 minutes (-1 for each minute off) = x/5
        • Covering all of the above elements (-1 for each element missing) = x/5
        • Answering at least 2 questions from the class = x/2
        • Asking at least one question of another speaker = x/1
        • Presentation coherence/clarity = x/2
        • Total = x/15
    • Grades can be expected for each assignment within 2-3 weeks of handing in the assignment. If you do not receive your grade in that timeframe (and the professor has not indicated that it will be taking longer), please contact the professor to ensure that the original submission was received.
    • All due dates are indicated in the syllabus, and all assignments (except the final presentation) can be handed in by email to christinelcook@outlook.com.

    指定/參考書目Textbook & References

    1. Shoemaker, P. J., Tankard, J. W. Jr., & Lasorsa, D. L. (2004). How to build social science theories. Sage Publications Inc.
    2. Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. Sage Publications Ltd.
    3. Purdue University College of Liberal Arts. (2023). APA style workshop. Purdue Online Writing Lab. Retrieved from https://owl.purdue.edu/owl/research_and_citation/apa_style/apa_overview_and_workshop.html
    4. British Psychological Association. (2021). BPS code of human research ethics. The British Psychological Society. Retrieved from https://explore.bps.org.uk/content/report-guideline/bpsrep.2021.inf180
    5. Ryerson University Research Ethics Board. (2017). Guidelines for recruitment of research participants. Ryerson University. Retrieved from https://www.torontomu.ca/content/dam/research/documents/ethics/guidelines-for-recruitment-of-research-participants.pdf
    6. White, M. D., & Marsh, E. E. (2006). Content analysis: A flexible methodology. Library Trends, 55(1), 22-45. https://doi.org/10.1353/lib.2006.0053
    7. Dye, T. (2023). Qualitative data analysis: Step-by-step guide (manual vs. automatic). InSights. Retrieved from https://getthematic.com/insights/qualitative-data-analysis/
    8. IDRC. (2023). How to write a policy brief. Resources for IDRC grantees. Retrieved from https://www.idrc.ca/en/funding/resources-idrc-grantees/how-write-policy-brief
    9. George, T. (2022, December 2). Types of interviews in research: Guide & examples. Scribbr. Retrieved from https://www.scribbr.com/methodology/interviews-research/#:~:text=An%20interview%20is%20a%20qualitative,by%20their%20level%20of%20structure.
    10. Elo, S., Kääriäinen, M., Kanste, O., Pölkki, T., Utriainen, K., & Kyngäs, H. (2014). Qualitative content analysis: A focus on trustworthiness. SAGE Open, 4(1). https://doi.org/10.1177/2158244014522633

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    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

    Yes

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