| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| 課程主要介紹迴歸分析之相關方法以及其理論。此外，如何利用所學迴歸方法來做實際資料分析亦是本課程之重點。 |
| 1.Critical Thinking |
| 2.Global Awareness |
| 6.Independent Problem-Solving |
|
|
| Lecturing |
| Other |
| Discussion |
| Exercises |
| Visit |
| topic Discussion / Production |
|
| Assignment |
| Oral Presentation |
| Attendance |
| Written Presentation |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
課程介紹 |
| Week 2 |
簡單線性迴歸模型 |
| Week 3 |
簡單線性迴歸模型 |
| Week 4 |
複迴歸模型 |
| Week 5 |
複迴歸模型 |
| Week 6 |
非線性迴歸模型 |
| Week 7 |
放假 |
| Week 8 |
期中報告 |
| Week 9 |
邏輯斯Logistic迴歸模型 |
| Week 10 |
邏輯斯Logistic迴歸模型 |
| Week 11 |
迴歸之調節效果 |
| Week 12 |
迴歸之調節效果 |
| Week 13 |
迴歸之中介效果 |
| Week 14 |
路徑分析 |
| Week 15 |
SPSS PROCESS操作介紹 ~ 以調節與中介效果為例 |
| Week 16 |
期末報告 |
self-directed
learning |
01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.
02.Viewing multimedia materials related to industry and academia.
04.Participation in visits or internships at industry, government, or academic institutions.
|
|
| Evaluation |
Homework 25%
Class Participation 15%
Midterm Project 30%
Final Project 30% |
| Textbook & other References |
1. 量化研究與統計分析：SPSS與R資料分析範例解析，邱皓政著，五南出版社，2019年。
2. 應用線性迴歸模型第四版，陳至安等譯，華泰文化，2005年。
3.應用線性迴歸，馮文俊譯，五南圖書，1996年。
4. 給論文寫作者的統計指南，顏志龍、鄭中平著，五南出版社，2017年。
|
| Teaching Aids & Teacher's Website |
| 請至i-Learning系統下載 |
| Office Hours |
| Thursday 11:00~13:00 |
| Sustainable Development Goals, SDGs(Link URL) |
| 04.Quality Education | include experience courses：N |
|