國立中山大學109學年度第2學期調查研究（二）課程大綱

國立中山大學 109學年度第2學期課程教學大綱

National Sun Yat-sen University 109Academic year Course syllabus

中文名稱
Course name(Chinese)

調查研究（二）

課號
Course Code

BM737

英文名稱
Course name(English)

SURVEY RESEARCH(II)

課程類別
Type of the course

講授類

必選修
Required/Selected

選修

系所
Dept./faculty

企業管理學系博士班

授課教師
Instructor

葉淑娟

學分
Credit

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：Since COVID-19, if distance learning is necessary, the teaching methods would adjust as follows:

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：Since COVID-19, if distance learning is necessary, the evaluation would adjust as follows:

1.Assignment Part I ：50%
2.Assignment Part II：50%

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.)】

Survey Research (II) is an advanced course after the Survey Research I, which is the method of gathering data from respondents thought to be representative of some population, using an instrument composed of closed structure or open-ended items (questions). The course will focus on the methodological work on analyzing survey data by various survey designs. Particularly, not only the traditional inferential statistics will be applied to this course, but also the structural equation modeling and hierarchical linear modeling will be the focus in doing social science research.(Pre-Requisite: “Survey I”(D4010012) or equivalent courses from 社科院 or consent of instructor.)

課程目標 Objectives

After completion of this course, the students are able to:
1) Use descriptive statistics to analyze survey data
2) Use exploratory analytical modeling to analyze survey data
3) Use Confirmatory Factor Analysis to analyze survey data
4) Use Structural Equations for Directly Observed Variables
5) Use Covariance Structure Models to analyze survey data
6) Use Multiple Group Comparison to analyze Panel Data
7) Use Multilevel Covariance Modeling to analyze survey data
8) Use Growth Curve Modeling to analyze Longitudinal Data
9) Writing a research paper after the survey research

授課方式 Teaching methods

Lecture, Discussion, practice modules

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.Participation：20%
2.Homework I：40%
3.Homework II：40%

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

1) IF YOU DID NOT ENROLL “Survey I” before, please do not register “Survey II.” If you have taken a similar course before from 社科院, please contact Dr. Yeh at syeh@faculty.nsysu.edu.tw
2) 請依老師上課給的書單為主

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	2021/02/21~2021/02/27	OFF
2	2021/02/28~2021/03/06	Introduction and Constructing survey data
3	2021/03/07~2021/03/13	Preparing the data analysis
4	2021/03/14~2021/03/20	Treatment of missing data in survey research
5	2021/03/21~2021/03/27	Descriptive statistics
6	2021/03/28~2021/04/03	Inferential statistics by different survey design
7	2021/04/04~2021/04/10	Exploratory Analytical Modeling (including logistic regression analysis, path analysis, and factor analysis)
8	2021/04/11~2021/04/17	Exploratory Analytical Modeling (including logistic regression analysis, path analysis, and factor analysis)
9	2021/04/18~2021/04/24	Midterm
10	2021/04/25~2021/05/01	Introduction to Structural Equation Modeling
11	2021/05/02~2021/05/08	Covariance Structure Models
12	2021/05/09~2021/05/15	Structural Equations for Directly Observed Variables: Recursive and Non-Recursive Models
13	2021/05/16~2021/05/22	OFF
14	2021/05/23~2021/05/29	Multiple Group Comparison with Panel Data
15	2021/05/30~2021/06/05	Multiple Group Comparison with Panel Data
16	2021/06/06~2021/06/12	OFF
17	2021/06/13~2021/06/19	Writing the research report
18	2021/06/20~2021/06/26	Final

課業討論時間 Office hours

時段1 Time period 1:
時間 Time：星期二12:00-14:00
地點 Office/Laboratory：4097
時段2 Time period 2：
時間 Time：星期四12:00-14:00
地點 Office/Laboratory：4097

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.
課外閱讀 Outside reading.
課外閱讀 Outside reading.

※系所學生專業能力 Basic disciplines and core capabilities of the department

1.學術研究(academic research) 1. Academic research.

2.高等管理知識(advanced knowledge in management) 2. Advanced knowledge in management.

3.倫理觀(ethical practice) 3. Ethical practice.

4.問題分析能力(analysis of problems) 4. Analysis of problems.

※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

2.探究與批判思考能力。 2. Inquisitive and critical thinking abilities

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 leadership

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:

尚未建立SDGS資料

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

本課程無註記包含校外實習