國立中山大學 110學年度第2學期 課程教學大綱

National Sun Yat-sen University 110Academic year Course syllabus

中文名稱
Course name(Chinese)

人力資源研究方法(二)

課號
Course Code

HRMA916

英文名稱
Course name(English)

RESEARCH METHODOLOGY IN HUMAN RESOURCE MANAGEMENT (II)

課程類別
Type of the course

講授類

必選修
Required/Selected

選修

系所
Dept./faculty

人力資源管理研究所亞太人力資源管理碩士在職專班

授課教師
Instructor

李澄賢    王豫萱    

學分
Credit

3

因應嚴重特殊傳染性肺炎(武漢肺炎),倘若後續需實施遠距授課,授課方式調整如下:

         同步遠距【透過網路直播技術,同時進行線上教學,得採Microsoft Teams、Adobe connect等軟體進行】
同步遠距含錄影【透過網路直播技術,同時進行線上教學並同時錄影,課程內容可擇日再重播,得採Microsoft Teams、Adobe connect等軟體進行】
非同步遠距【課堂錄影或錄製數位教材放置網路供學生可非同時進行線上學習,得採EverCam、PPT簡報錄影、錄音方式進行】
實作類課程,經評估無法採遠距課程教學,後續復課後密集補課

★遠距教學軟體操作說明連結

因應嚴重特殊傳染性肺炎(武漢肺炎),倘若後續需實施遠距授課,評分方式調整如下:

        
1.課堂參與 Class Participation20%
2.小組作業 Assignments30%
3.期中考 Midterm30%
4.期末考 Final Exam20%

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



授課方式 Teaching methods

         講授與討論 Lecture and Discussion





評分方式﹝評分標準及比例﹞Evaluation (Criteria and ratio)等第制單科成績對照表 letter grading reference

        
1.課堂參與 Class Participation20%
2.小組作業 Assignments30%
3.期中考 Midterm30%
4.期末考 Final Exam20%

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
WeekDateContent and topic
12022/02/13~2022/02/19基本統計複習 Refresh Statistics
22022/02/20~2022/02/26迴歸分析 Regression Analysis I
32022/02/27~2022/03/05簡介潛在變項與量表的發展 Introudction to Latent Variables and Instrument Development
42022/03/06~2022/03/12探索性因素分析 Exploratory Factor Analysis
52022/03/13~2022/03/19驗證性因素分析 I Confirmatory Factor Analysis I
62022/03/20~2022/03/26驗證性因素分析 II Confirmatory Factor Analysis II
72022/03/27~2022/04/02結構方程模式 I 簡介 Structural Equation Modeling I
82022/04/03~2022/04/09結構方程模式 II 中介效果 Structural Equation Modeling II (Mediation)
92022/04/10~2022/04/16結構方程模式 III 調節效果 Structural Equation Modeling III (Moderation)
102022/04/17~2022/04/23期中考 Midterm
112022/04/24~2022/04/30質性研究 I Qualitative Method I
122022/05/01~2022/05/07質性研究 I Qualitative Method II
132022/05/08~2022/05/14結構方程模式 IV 調節式中介效果 Structural Equation Modeling IV (Moderated Mediation)
142022/05/15~2022/05/21結構方程模式 IV 調節式中介效果 Structural Equation Modeling IV (Moderated Mediation)
152022/05/22~2022/05/28結構方程模式 V 中介式調節效果 Structural Equation Modeling IV (Mediated Moderation)
162022/05/29~2022/06/04結構方程模式 V 中介式調節效果 Structural Equation Modeling IV (Mediated Moderation)
172022/06/05~2022/06/11期末考 Final Exam
182022/06/12~2022/06/18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.學生能注意企業倫理及專業倫理。 1. Students are able to pay attention to business and professional ethics.           
2.學生能習得專業知識並成為具備足夠能力的管理者。 2. Students are able to acquire professional knowledge and become the managers who possess adequate abilities.VVV V V   V
3.學生能發展自己的邏輯思考及解決問題的能力。 3. Students are able to develop their own logical thinking and problem solving abilities.VVV V V   V
4.學生能加強自己的領導能力。 4. Students are able to strengthen their leading abilities.V V V V   V
5.學生能具備國際觀。 5. Students are able to have global perspectives.           
6.學生能注意並參與社會責任的議題。 6. Students are able to strengthen their leading abilities.           
※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 skillsV V V V   V
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilitiesVVV V V   V
3.終身學習能力。 3. Lifelong learning           
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 leadershipV V V V   V
9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature            

本課程與SDGs相關項目:The course relates to SDGs items:

        
SDG1-消除貧窮(No Poverty)
SDG2-消除飢餓 (Zero Hunger)
SDG3-良好健康與福祉(Good Health and Well-being)
SDG4-教育品質(Quality Education)
SDG5-性別平等(Gender Equality)
SDG6-乾淨水源與公共衛生(Clean Water and Sanitation)
SDG7-可負擔乾淨能源(Affordable and Clean Energy)
SDG8-優質工作與經濟成長(Decent Work and Economic Growth)
SDG9-工業、創新和基礎建設(Industry,Innovation and Infrastructure)
SDG10-減少不平等(Reduced Inequalities)
SDG11-永續城市(Sustainable Cities and Communities)
SDG12-責任消費與生產(Responsible Consumption and Production)
SDG13-氣候行動(Climate Action)
SDG14-海洋生態(Life Below Water)
SDG15-陸域生態(Life on Land)
SDG16-和平、正義和穩健的制度(Peace,Justice And Strong Institutions)
SDG17-促進目標實現的全球夥伴關係(Partnership for the Goals)
本課程和SDGS無關

本課程校外實習資訊: This course is relevant to internship:

         本課程包含校外實習(本選項僅供統計使用,無校外實習者,得免勾記)
The course includes internship.(For statistical use only. If the course without internship, please ignore this item.)

實習定義:規劃具有學分或時數之必修或選修課程,且安排學生進行實務與理論課程實習,於實習終了取得考核證明繳回學校後,始得獲得學分;或滿足畢業條件者。(一般校內實習請勿勾選此欄位)

Internship: The required or elective courses should include credits and learning hours. Students should participate in the corporative company or institution to practice and learn the real skills. An internship certification must be handed in at the end of internship to get the credits or to fulfil the graduation requirements.

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