教學大綱 Syllabus

科目名稱:數量研究方法

Course Name: Quantitative Research Methods

修別:選

Type of Credit: Elective

3.0

學分數

Credit(s)

10

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

The purpose of this doctoral seminar is to provide students with some exposure to empirical modeling in business.

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

    After taking this course, students should have an understanding of the various issues surrounding data analysis and model building. More importantly, they would know where to look for reference when modeling issues come up.

    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

    Week

    Topic

    Instructor

    Teaching Activities and Homework

    1 (9/11)

    Course overview and introduction

    Dr. Ho

     

    2 (9/18)

    Theory development

    Dr. Ho

     

    3 (9/25)

    Regression

    Dr. Ho

     

    4 (10/2)

    Generalized linear models: Poisson and logit/probit regression

    Dr. Ho

     

    5 (10/09)

    Moderation and mediation

    Dr. Ho

     

    6 (10/16)

    Causal inference and endogeneity

    Dr. Ho

     

    7 (10/23)

     EXAM I

    Dr. Ho

     

    8 (10/30)

    Advanced methods: choice modeling

    Dr. Ho

     

    9 (11/6)

    Advanced methods: survival modeling

    Dr. Ho

    Homework

    10 (11/13)

    Flexible Week

    11 (11/20)

    Research Project Proposal

    Dr. Ho

     

    12 (11/27)

    Survey Design I

    Chi-square, t-test,

    ANOVA, ANCOVA

    Dr. Park

    SPSS

    13 (12/4)

    Survey Design II

    Moderated Mediation

    vs. Mediated Moderation

    vs. Moderation-as-process

    Dr. Park

    SPSS

    14 (12/11)

    Survey Design III

    Factor Analysis (CFA, EFA)

    Path Analysis

    Dr. Park

    SPSS & AMOS

    15 (12/18)

    Structural Equation Model (SEM)

    Dr. Park

    AMOS

    16 (12/25)

    EXAM II

    Dr. Park

     

    17 (1/1)

    Flexible Week (New Year)

    18 (1/8)

    Presentation

    Dr. Ho & Dr. Park

     

    授課方式Teaching Approach

    70%

    講述 Lecture

    30%

    討論 Discussion

    0%

    小組活動 Group activity

    0%

    數位學習 E-learning

    0%

    其他: Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    Homeworks

    Midterm

    Final project/presentation

    Class participation

    指定/參考書目Textbook & References

    Freedman, D. A. (2009). Statistical models: Theory and practice. Cambridge: Cambridge University Press.

    Hair, Joseph, F. Jr., Black, William C. Babin, Barry J., Anderson, Rolph E., and Tatham, Ronald L. (2010). Multivariate Data Analysis, 7th Edition. Englewood Cliffs, NJ: Prentice Hall.

    Software: Students are required to use R to complete the assignments.

    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

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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

    需經教師同意始得使用 Approval

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