教學大綱 Syllabus

科目名稱:高等量化研究

Course Name: Advanced Quantitative Research

修別:必

Type of Credit: Required

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

教授社會科學進階量化資料分析方法,講授結構方程式模型理論,模型建構以及系統操作。

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

    2. 課程目的

    了解理論研究的研究過程

    培養資料分析的方法

    每周課程進度與作業要求 Course Schedule & Requirements

     

    6. 課程表

    週次

    上課內容與指定閱讀資料

    1

    9/3

    Course Description;

    Review I: Fundamental Statistics (four ppt files)

    29/10

    Review II: Theory Construction; Data Preparation, Correlation, Path

    Readings: Chapter 5, ppt files (four ppt files)

    39/17

    Review III: Path, Factor & Regression Analysis

    Readings: Chapter 6-1, 6-2; 7-1, 7-2; ppt files (four ppt files)

    49/24

    Structure Equation Modeling: Introduction

    Readings: Hershberger (2003); Chapter 1, 2

    510/1

    Structural and Measurement Models I, Project Initiatives

    Readings: Chapter 3

    610/8

    Structural and Measurement Models II

    Readings: MacCallum & Austi (2000), Chapter 4

    710/15

    Structural and Measurement Models III

    Readings: McDonald & Ho (2002), Chapter 6

    810/22

    Midterm

    910/29

    AMOS Software Demo

    Readings: Chapter 7

    1011/5

    Project Discussion

    Readings: Chapter 8

    1111/12

    Multi-group Structuring Equation Modeing

    Readings: Sa’nchez-Franco (2006), Chapter 9, 10

    1211/19

    Mean Structuring

    Readings: Chapter 10-6

    1311/26

    Formative vs. Reflective Indicators I

    Readings: MacKenzie, Podsakoff, & Jarvis (2005), Chapter 12

    1412/3

    Formative vs. Reflective Indicators II

    1512/10

    PLS Software Demo

    1612/17

    Project Presentation & Course Summary

    授課方式Teaching Approach

    60%

    講述 Lecture

    20%

    討論 Discussion

    20%

    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

    3. 上課型式

    程設計以互動為主,上課方式將包括課堂講授、與口頭報告

     

    4. 課程要求

    主動參與課堂討論

    所有作業以文書工具處理後準時email繳交,逾時不接受

     

    5. 評分方式

    作業與課堂參與40%、期中考20%期末報告40%

    指定/參考書目Textbook & References

    Readings

    邱皓政(2024),結構方程模式:原理與應用(第三版)。台北,雙葉

    Chu, P.-Y., & Chiu, J. F. (2003). Factors influencing household waste recycling behavior: Test of an integrated model, Journal of Applied Social Psychology, 33 (3), 604-626.

     

    Hershberger, S. (2003). The growth of structural equation modeling: 1994-2001.

    Structural Equation Modeling. 10, 35-46.

     

    MacCallum, R. C. & Austi, J. T. (2000). Applications of structural equation modeling in psychological research. Annual Review of Psychlogy, 51, 201-226.

     

    MacKenzie, S. B., Podsakoff, P. M., Jarvis, C. (2005). The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions. Journal of Applied Psychology. 90(4):710-730.

     

    McDonald, M. P., & Ho, M.R. (2002). Principles and practice in reporting structural equation modeling. Psychological Methods, 7, 64-82.

     

    Sa’nchez-Franco, M. J. (2006). Exploring the influence of gender on the web usage via partial least squares, Behaviour & Information Technology, 25 (1), 19 – 3

    McDonald, M. P., & Ho, M.R. (2002). Principles and practice in reporting structural equation modeling. Psychological Methods, 7, 64-82.

    Sa’nchez-Franco, M. J. (2006). Exploring the influence of gender on the web usage via partial least squares, Behaviour & Information Technology, 25 (1), 19 – 36.

    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

    書名 Book Title 作者 Author 出版年 Publish Year 出版者 Publisher ISBN 館藏來源* 備註 Note

    維護智慧財產權,務必使用正版書籍。 Respect Copyright.

    本課程可否使用生成式AI工具Course Policies on the Use of Generative AI Tools

    完全開放使用 Completely Permitted to Use

    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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