1.課堂參與 Class Participation：20% 2.作業 Assignments：30% 3.期中考 Midterm (線上)：20% 4.期末考 Final Exam (線上)：30%
課程大綱 Course syllabus
本課程教學大綱已提供完整英文資訊（本選項僅供統計使用，未提供完整英文資訊者，得免勾記）【Provide information of course syllabus in English.(This is for statistical use only. For those who do not provide information of course syllabus in English, do not check this field.)】
本課程的前半段會先介紹如何設計相關量化研究，並應用進階的迴歸分析方法，同時透過實際操作教學，讓學生了解調節式中介效果 (moderated mediation) 與中介式調節效果 (mediated moderation) 的分析步驟，學習描述資料及解釋分析結果，並將這些方式應用於組織行為、人力資源管理及相關社會科學研究領域。除了前述量化研究方法外，本階段也會介紹基本的質性研究分析概念與方法，讓學生能了解不同的研究設計方式。 The first section of this course will introduce students to Quantitative Method and Advanced Regression Analysis. Students will learn mediated moderation and moderated mediation and apply these statistical techniques to the applications of Human Resource Management. Also, students will learn to use computer packages to perform data analysis, to interpret and report the analytical results. In addition, we will briefly touch the base of Qualitative Method. 本課程的後半段主要介紹結構方程模式在人力資源管理上的應用。除此之外，也會簡單介紹潛在變項與量表的發展與修訂。學生透過課程學習使用電腦統計軟體進行參數與模型的估計、解釋資料分析的結果，並能與其研究社群溝通與討論資料分析的結果。 The second section of this course will introduce students to structural equation modeling (SEM) in the applications of organizational behavior, human resource management, and the social sciences more broadly. Students will learn to examine the characteristics of observed variables (e.g., skewness and kurtosis), to use computer packages to perform parameter or model estimation, to interpret and report the results of data analysis, and to communicate statistical ideas and results with their colleagues. Also, we will briefly cover the concept of instrument development and revision. 本課程的主題包括：多元迴歸分析、探索性因素分析、驗證性因素分析、路徑分析、結構方程模式、質性研究簡介。 General topics covered in this course include: Multiple Regression, Exploratory and Confirmatory Factor Analysis, Path Analysis, Structural Equation Modeling, and Qualitative Method.
課程目標 Objectives
1. 熟悉量化研究的研究設計方式。 2. 熟悉基礎統計知識與線性迴歸模式的資料分析方式與統計軟體。 3. 了解基本的質性研究分析概念與方法。 4. 能夠使用參數估計或假設檢定進行模式的推論，並以有意義的方式詮釋分析結果。 5. 熟悉因素分析(探索性與驗證性)、結構方程模式與其在人力資源管理上之應用。 6. 能夠以統計分析軟體SPSS與Mplus進行不同模型的資料分析。 1. Be familiar with research design in Quantitative Method 2. Be familiar with basic statistical concepts, linear regression analysis, and its associated software program package 3. Be familiar with basic concepts in Qualitative Method 4. Be able to perform parameter or model estimation and to interpret and report the results of data analysis meaningfully 5. Be familiar with factor analysis, structural equation modeling, and its applications in the Human Resource Management 6. Be able to set up and execute the software programs SPSS and Mplus for statistical modeling
1.課堂參與 Class Participation：20% 2.作業 Assignments：30% 3.期中考 Midterm：20% 4.期末考 Final Exam：30%
參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念，不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use
使用教師自編與補充之課程講義教材，如有補充閱讀資料，會於上課前上傳給學生。 Supplemental materials will be given and students are expected to read them before class. 推薦書單: Recommended Readings Section 1 1. Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd Edition). New York, NY: The Guilford Press. 2. Hayes, A. F. (2018). Partial, conditional, and moderated mediation: Quantification, inference, and interpretation. Communication Monographs, 85, 4-40. 3. Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76, 408-420. Section 2 4. DeVallis, R. F. (2016). Scale Development: Theory and Applications (4th edition). Thousand Oaks, CA: Sage Publications. 魏勇剛、龍長權、宋武 (2010) 譯。量表編製：理論與應用(第二版，2002年)。臺北：五南。 5. 邱皓政 (2012)。量化研究法(三)：測驗原理與量表發展技術。臺北：雙葉。 6. 邱皓政 (2011)。結構方程模式：LISREL/SIMPLIS原理與應用(第二版)。臺北：雙葉。 7. 陳新豐 (2014)。結構方程模式：Mplus的應用。臺北：心理。
彈性暨自主學習規劃 Alternative learning periods
本門課程是否有規劃實施學生彈性或自主學習內容（每1學分2小時）
Is any alternative learning periods planned for this course (with each credit corresponding to two hours of activity)?
否：教師需於「每週課程內容及預計進度」填寫18週課程進度（每1學分18小時之正課內容）。 No：The instructor will include an 18-week course plan in the weekly scheduled progress (each credit corresponds to 18 hours of instruction)
是：教師需於「每週課程內容及預計進度」填寫16週課程內容（每1學分16小時之正課內容），並於下列欄位填寫每1學分2小時學生彈性或自主學習內容。 Yes：The instructor will include a 16-week course plan in the weekly scheduled progress (each credit corresponds to 16 hours of instruction);the details of the planned alternative learning periods are provided below (each credit corresponds to two hours of activity).
學生彈性或自主學習活動 Alternative learning periods
勾選或填寫規劃內容 Place a check in the appropriate box or provide details
時數 Number of hours
學生分組實作及討論 Group work and discussion
參與課程相關作業、作品、實驗 Participation in course-related assignments, work, or experiments
參與校內外活動（研習營、工作坊、參訪）或競賽 Participation in on- or off-campus activities (e.g., seminars, workshops, and visits) or competitions
課外閱讀 Extracurricular reading
線上數位教材學習 Learning with online digital learning materials
其他（請填寫規劃內容） Other (please provide details)
每週課程內容及預計進度 Weekly scheduled progress
週次
日期
授課內容及主題
Week
Date
Content and topic
1
2020/02/27~2020/02/29
調節式中介效果 I Moderated Mediation I
2
2020/03/01~2020/03/07
調節式中介效果 II Moderated Mediation II
3
2020/03/08~2020/03/14
中介式調節效果 I Mediated Moderation I
4
2020/03/15~2020/03/21
中介式調節效果 II Mediated Moderation II
5
2020/03/22~2020/03/28
期中考 Midterm
6
2020/03/29~2020/04/04
期中考檢討與討論 Discussion of Midterm
7
2020/04/05~2020/04/11
質性研究 I Qualitative Method I
8
2020/04/12~2020/04/18
質性研究 II Qualitative Method II
9
2020/04/19~2020/04/25
簡介潛在變項與量表的發展 Introudction to Latent Variables and Instrument Development
10
2020/04/26~2020/05/02
探索性因素分析 I Exploratory Factor Analysis I
11
2020/05/03~2020/05/09
探索性因素分析 II Exploratory Factor Analysis II
12
2020/05/10~2020/05/16
驗證性因素分析 I Confirmatory Factor Analysis I
13
2020/05/17~2020/05/23
驗證性因素分析 II Confirmatory Factor Analysis II
14
2020/05/24~2020/05/30
結構方程模式 I 簡介 Structural Equation Modeling I
15
2020/05/31~2020/06/06
結構方程模式 II (中介效果) Structural Equation Modeling II (Mediation)
16
2020/06/07~2020/06/13
結構方程模式 III (調節效果、調節式中介效果) Structural Equation Modeling III (Moderation and Moderated Mediation)
17
2020/06/14~2020/06/20
期末考 Final Exam
18
2020/06/21~2020/06/24
期末考檢討與討論 Discussion of Final Exam
課業討論時間 Office hours
時段1 Time period 1: 時間 Time：星期二10:00-12:00 地點 Office/Laboratory：4081 時段2 Time period 2： 時間 Time：星期四14:00-16:00 地點 Office/Laboratory：4075-1
系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilitics of the dcpartment and the university
系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilities of the department and the university
課堂活動與評量方式 Class activities and evaluation
本課程欲培養之能力與素養 This course enables students to achieve.
紙筆考試或測驗 Test.
課堂討論︵含個案討論︶ Group discussion (case analysis).
個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment.
群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment.
個人口頭報告 Indivisual oral presentation.
群組口頭報告 Group oral presentation.
課程規劃之校外參訪及實習 Off-campus visit and intership.
證照/檢定 License.
參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions.
課外閱讀 Outside reading.
※系所學生專業能力 Basic disciplines and core capabilities of the department
1.學生能注意倫理的議題及專業倫理。 1. Students are able to pay attention to ethical subjects and professional ethics.
2.學生能有效溝通並有良好的團隊合作。 2. Students are able to communicate effectively and have good teamwork.
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3.學生能具備國際觀。 3. Students are able to possess a global perspective.
4.學生能發展邏輯思考及資訊科技能力以解決問題。 4. Students are able to possess appropriate abilities in information technology.
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5.學生能具備充分的專業知能。 5. Students are able to develop logical thinking and problem solving abilities.
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6.學生能注意並參與社會責任的議題。 6. Students are able to possess sufficient professional competency.
※全校學生基本素養與核心能力 Basic disciplines and core capabilities of the university
1.表達與溝通能力。 1. Articulation and communication skills
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2.探究與批判思考能力。 2. Inquisitive and critical thinking abilities
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3.終身學習能力。 3. Lifelong learning
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4.倫理與社會責任。 4. Ethnics and social responsibility
5.美感品味。 5. Aesthetic appreciation
6.創造力。 6. Creativity
7.全球視野。 7. Global perspective
8.合作與領導能力。 8. Team work and leadership
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9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature