1、1多變量分析Multivariate Data Analysis開課教師：周麗芳 開課系所：成功大學社會科學院心理學系暨研究所聯絡方式：(1) 校內分機 56511.e-mail： choulfmail.ncku.edu.tw課程目標：The purpose of this course is to introduce various topics in multivariate analysis, such as Factor Analysis, Multiple Regression Analysis, ANOVA & MANOVA, Regression, MANOVA, SEM and
2、 HLM, and to provide some practical experience in their applications and interpretation. Learning Objectives：1. To use multivariate statistical methods properly in the researches of Psychology, Sociology, Organizational behavior, etc. 2. To be capable of proper statistical reporting and correct inte
3、rpretations of multivariate analysis.3. To carry out multivariate statistical techniques efficiently and effectively using statistical software. 教學方法：1. 教師授課(為主)2. 閱讀討論3. 電腦軟體操作4. 其他。參考書與資料：Textbook: Hair, J.R., Black, W. C., Babin, B. J., & Anderson, R. E. (20106) Multivariate Data Analysis: a Glob
4、al Perspective (7th edition). Global Edition, Pearson Prentice-Hall, Inc 2Reference: Sharma, S. (1996). Applied Multivariate Techniques. John Wiley & Sons, Inc.Cohen, J., Cohen, P., West, S.G. & Aiken, L.S. (2003). Applied. Multiple regression/correlation analysis for the behavioral sciences,(3rd ed
5、ition). Hillsdale, NJ: Lawrence Erlbaum.陳順宇(2005) 。多變量分析。華泰文化。其他待補充課程要求與期待：1. 準時出席，認真聽課，參與討論。 2. 除上課發言、討論外，請勿聊天、喧嘩；打瞌睡請睡像保守、含蓄。3. 上課請勿接聽手機。行動電話關機或切換至震動等無聲模式。 4. 上課請勿照相、錄影與錄音。5. 作業準時繳交、請勿抄襲。 成績評量：1. Individual assignment 60%2. Class participation and discussion. 30%3. Presentation of papers and propo
6、sal. 10%3上課進度：週次 日期 上 課 內 容 備註1 09/16 課程介紹與準備2 09/23 Review Statistics (Chapter 1)3 09/30 Preparing for A Multivariate Analysis： Chapter 2 Examining your data作業一 Cleaning data before running Multivariate Analysis4 10/07 Preparing for A Multivariate Analysis： Chapter 3 Factor Analysis5 10/14 Chapter
7、3 Factor Analysis 作業二 Factor Analysis6 10/21 Chapter 4 Multiple Regression Analysis 7 10/28 Chapter 4 Multiple Regression Analysis8 11/04 Chapter 4 Multiple Regression Analysis ：Moderation and Mediation 作業三 Multiple Regression 9 11/11 運動會停課10 11/17 Chapter 8 ANOVA & MANOVA11 11/25 Chapter 8 ANOVA &
8、MANOVA12 12/02 Chapter 8 ANOVA & MANOVA 作業三 ANOVA/MANOVA13 12/09 Chapter11 Structural Equation Modeling (SEM): An introduction14 12/16 Chapter 12 SEM: Confirmatory FA 作業三 SEM: CFA15 12/23 Chapter 12 SEM: Testing a Structural Model 作業四 SEM: Path Mode16 12/30 Hierarchal Linear Models () l17 01/06 Hierarchal Linear Models ()18 01/13 Hierarchal Linear Models () 作業四 SEM: Path Mode
