管理資料分析

Data Analysis for Management

學期

111-1

學分

3 學分

當期課號

250101

永久課號

MGBM30045

開課單位

管理學院碩士在職專班-經管組

授課教師

丁承

校區

北門

類別

必修

上課時間表

節	週二
A 18:30–19:20	管理資料分析 TB307 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

概述

本課程介紹單變量統計線性模式(包括迴歸(regression)、變異數分析(ANOVA)、和共變數分析(ANCOVA)),類別資料分析之二元羅吉斯迴歸 (binary logistic regression) 以及多變量之構面縮減技術(包括主成份分析(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資料分析方法的觀念有正確的認識與了解,另亦熟悉統計套裝軟體SAS的對應操作方法,期有助於同學在管理上的應用,並培養研究的基礎。

先修科目

統計學

教學方式

全程由教師講授,以板書為主,並提供講義給同學參考使用。上課方式採「實體與線上同步」,線上連結使用 Google Meet,網址為 https://meet.google.com/trp-csne-wpn。

評分方式

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。 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%。

課程大綱

統計在管理研究上扮演的角色
迴歸
變異數分析/共變數分析
類別資料分析
構面縮減技術

週次計畫

週次	主題
第 1 週	The Role of Statistical Methods and Data Analysis in Management, A General Introduction to Statistical Package SAS
第 2 週	Multiple Regression
第 3 週	Collinearity and Variable Selection
第 4 週	General Linear Test
第 5 週	The Dummy Variable Technique, Testing for Moderating Effects
第 6 週	Testing for Mediation Effects and Bootstrapping
第 7 週	Testing Homoscedasticity, Testing for Autocorrelation
第 8 週	期中考
第 9 週	One-Factor ANOVA
第 10 週	Randomized Block Design (RBD) and Analysis of Covariance (ANCOVA)
第 11 週	Two-Factor Crossed Designs and Nested Designs
第 12 週	Binary Logistic Regression and Cross-Validation
第 13 週	Principal Components
第 14 週	Exploratory Factor Analysis
第 15 週	Confirmatory Factor Analysis
第 16 週	期末考
第 17 週	彈性補充教學: Introduction to Multivariate Linear Models and Structural Equation Modeling

教科書

Kutner, M. H., Nachtsheim, C. J., Neter, J., and Li, W. (2005), Applied Linear Statistical Models (5th ed.), McGraw-Hill International Edition. 參考書籍與文獻: [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。

Office Hours

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@nycu.edu.tw