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)

5

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

    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

     

    6. 課程表

     

    週次

     

    上課內容

    1

     

    Course Description;

    Review I: Fundamental Statistics (four ppt files)

    2

     

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

    Readings: Chapter 2, ppt files (four ppt files)

    3

     

    Review III: Path, Factor & Regression Analysis

    Readings: Chapter 9, 10, ppt files (four ppt files)

    4

     

    Structure Equation Modeling: Introduction

    Readings: Hershberger (2003); Chapter 1, 3

    5

     

    Structural and Measurement Models I, Project Initiatives

    Readings: Chapter 4

    6

     

    Structural and Measurement Models II

    Readings: MacCallum & Austi (2000), Chapter 5

    7

     

    Structural and Measurement Models III

    Readings: McDonald & Ho (2002), Chapter 8

    8

     

    Midterm

    9

     

    LISREL Software Demo

    Readings: Chapter 6, 7, ppt files

    10

     

    Structural and Measurement Models IV

    Project Discussion

    11

     

    Multi-group Structuring Equation Modeing

    Readings: Sa’nchez-Franco (2006), Chapter 11

    12

     

    Mean Structuring

    Readings: Chapter 12

    13

     

    Formative vs. Reflective Indicators I

    Readings: MacKenzie, Podsakoff, & Jarvis (2005)

    14

     

    Formative vs. Reflective Indicators II

    15

     

    PLS Software Demo

    AMOS Software Demo

    16

     

    HLM

    17

     

    Project Presentation & Course Summary

    18

     

    Final week

    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

    Required Textbooks

     

    邱皓政(2011),結構方程模式:SIMPLIS原理與應用(第二版)。台北,雙葉

    田部井明美著; 陳耀茂編審 (2005),共變異數構造分析AMOS使用手册 ,臺北市:鼎茂

    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 – 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

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

    課程相關連結Course Related Links

    線上上課網址
    https://nccutw.webex.com/nccutw/j.php?MTID=ma465bf6e9fc4b5860bef2860f13747e3
    

    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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