管理資料分析
Data Analysis for Management
| 節 | 週二 |
|---|---|
A 18:30–19:20 | 管理資料分析 TD 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 根據陽明交大上課時間表所列
統計方法是管理資料分析的核心技術,本課程介紹在管理資料分析上應用廣泛的統計方法,包括單變量統計線性模式(含迴歸 (regression)、變異數分析 (ANOVA) 和共變數分析(ANCOVA) 模式),二元羅吉斯迴歸 (binary logistic regression) 以及多變量之主成份分析(principal components)、探索性因素分析 (exploratory factor analysis, EFA) 及驗證性因素分析 (confirmatory factor analysis, CFA),目的是使同學對這些方法有正確的認識與了解,另亦熟悉統計套裝軟體SAS在資料管理與分析上的操作技巧,期能提供同學們在修習管理知識及進行碩士論文研究過程中之實質助益。
統計學
無備註
參考書籍: [1] Afifi, A. A. and Clark, V. (1990), Computer-Aided Multivariate Analysis (2nd ed.), New York: Van Nostrand Reinhold. [2] Agresti, A. (2007), An Introduction to Categorical Data Analysis (2nd ed.), New York: Wiley. [3] Allison, P. D. (1991), Logistic Regression Using the SAS System: Theory and Application, Cary, NC: SAS Institute Inc. [4] Baron, R. M., and Kenny, D. A. (1986), The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations, Journal of Personality and Social Psychology, 51, 1173–1182. [5] Berenson, M. L., Levine, D. M. and Goldstein, M. (1983), Intermediate Statistical Methods and Applications: A Computer Package Approach, Englewood Cliffs, NJ: Prentice-Hall. [6] Draper, N. R. and Smith, H. (1998), Applied Regression Analysis (3rd ed.), New York: Wiley. [7] Freund, R. J. and Littell, R. C. (2000), SAS System for Regression (3rd ed.), Cary, NC: SAS Institute Inc. [8] Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis: A Global Perspective (7th ed.), Upper Saddle River, NJ: Pearson Education. [9] Hosmer, D. W. and Lemeshow, S. (1989), Applied Logistic Regression, New York: Wiley. [10] Johnson, R. A. and Wichern, D. W. (2007), Applied Multivariate Statistical Analysis (6th ed.), Pearson International Edition. [11] Kleinbaum, D. G., Kupper, L. L., Muller, K. E. and Nizam, A. (1998), Applied Regression Analysis and Other Muitivariable Methods (3rd ed.), Boston: Duxbury Press. [12] Littell, R. C., Milliken, G. E., Stroup, W. W., Wolfinger, R. D., and Schabenberger, O. (2006), SAS for Mixed Models (2nd ed.), Cary, NC: SAS Institute Inc. [13] Littell, R. C., Stroup, W. W., and Freund, R. J. (2002), SAS for Linear Models (4th ed.), Cary, NC: SAS Institute Inc. [14] Morrison, D. F. (1990), Multivariate Statistical Methods (3rd ed.), New York: McGraw-Hill. [15] O’Rourke, N., Hatcher, L. and Stepanski, E. J. (2005), A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics (2nd ed.), Cary, NC: SAS Institute Inc. [16] Preacher, K. J., and Hayes, A. F. (2004), SPSS and SAS procedures for estimating indirect effects in simple mediation models, Behavior Research Methods, Instruments, and Computers, 36, 717–731. [17] Rencher, A. C. (1995), Methods of Multivariate Analysis, New York: Wiley. [18] Strokes, M. E., Davis, C. S., and Koch, G. G. (1995), Categorical Data Analysis Using the SAS System, Cary, NC: SAS Institute Inc. [19] 鍾惠民、吳壽山、周賓凰、范懷文 (民95),「財金計量」(修正版),台北市:雙葉書廊。
1. 學期作業: 期中考後有一次學期作業,教科書各章後之習題請自行練習,解答在書末光碟中。 2. 考試狀況: 期中考與期末考各一次。 3. 評量方法: 作業 20%,期中考 30%,期末考 50%。 4. 教學方法及教學相關配合事項(如網站、助教、圖書講義及資料庫等): 全程由教師講授,以板書為主,並提供SAS講義給同學參考使用。
Introduction to Statistical Methods and Data Analysis
1. The Role of Statistical Methods and Data Analysis in Management 2. Introduction to Statistical Package SAS
- 講授：
- 3
Multiple Regression
1. Multiple Regression 2. Multicollinearity, Variable Selection 3. The Dummy Variable Technique 4. Testing for Moderating and Mediation Effects 5. Bootstrapping 6. Testing Homoscedasticity 7. Testing for Autocorrelation
- 講授：
- 18
ANOVA and ANCOVA
1. One-Factor ANOVA 2. Randomized Block Design 3. Analysis of Covariance 4. Two-Factor ANOVA 5. Nested Design
- 講授：
- 12
Categorical Data Analysis
1. Binary Logistic Regression
- 講授：
- 3
Dimension- Reduction Techniques
1. Principal Components 2. Exploratory Factor Analysis 3. Confirmatory Factor Analysis
- 講授：
- 9
| 週次 | 主題 |
|---|---|
| 第 1 週 | The Role of Statistical Methods and Data Analysis in Management and A General Introduction to Statistical Package SAS 2019/09/10 每週二18:40-21:30 |
| 第 2 週 | Multiple Regression 2019/09/17 每週二18:40-21:30 |
| 第 3 週 | Multicollinearity and Variable Selection 2019/09/24 每週二18:40-21:30 |
| 第 4 週 | The Dummy Variable Technique 2019/10/01 每週二18:40-21:30 |
| 第 5 週 | Testing for Moderating and Mediation Effects 2019/10/08 每週二18:40-21:30 |
| 第 6 週 | Bootstrapping 2019/10/15 每週二18:40-21:30 |
| 第 7 週 | Testing Homoscedasticity 2019/10/22 每週二18:40-21:30 |
| 第 8 週 | Testing for Autocorrelation 2019/10/29 每週二18:40-21:30 |
| 第 9 週 | 2019/11/05 每週二18:40-21:30 |
| 第 10 週 | 期中考 2019/11/12 每週二18:40-21:30 |
| 第 11 週 | Randomized Block Design (RBD) and Analysis of Covariance(ANCOVA) 2019/11/19 每週二18:40-21:30 |
| 第 12 週 | Two-Factor ANOVA (Balanced and Unbalanced) 2019/11/26 每週二18:40-21:30 |
| 第 13 週 | Nested Designs, Mixed Models 2019/12/03 每週二18:40-21:30 |
| 第 14 週 | Binary Logistic Regression 2019/12/10 每週二18:40-21:30 |
| 第 15 週 | Principal Components 2019/12/17 每週二18:40-21:30 |
| 第 16 週 | Exploratory Factor Analysis 2019/12/24 每週二18:40-21:30 |
| 第 17 週 | Confirmatory Factor Analysis 2019/12/31 每週二18:40-21:30 |
| 第 18 週 | 期末考 7019/01/07 每週二18:40-21:30 |
Kutner, M. H., Nachtsheim, C. J., Neter, J., and Li, W. (2005), Applied Linear Statistical Models (5th ed.), McGraw-Hill International Edition.
- 地點
- 教授研究室
- 時間
- 每週二16:00 ~ 18:00 (其他時間可先預約)
- 聯絡方式
- cding@mail.nctu.edu.tw