一、教導學生如何將「研究流程」、「研究架構」與「統計分析程序」進行一個緊密的連結；
二、教導學生如使用SPSS與LISREL套裝軟體，進行景觀建築與休閒遊憩領域中常用的各種多變量統計分析方法；
三、讓學生了解如何在期刊論文中呈現統計分析的結果。1. Teach students how to connect “research process”, “research structure” and “statistic analysis procedures” in a tight connection;
2. Teach students to use SPSS and LISREL software to carry out various multi-variable statistical analysis methods commonly used in landscape architecture and leisure and leisure areas;
3. Let students understand how to present the results of statistical analysis in journal articles.
Fields in the biological, physical and social sciences frequently collect observations involved several variables. Data analysis on such cases becomes truly fascinating and challenging. Modern computer packages readily provide the techniques for complex statistical data analysis. Therefore, we integrate several aspects of computer usage into the course for illustration. This course contains an understanding of the basic knowledge and well-developed statistical theories necessary for selecting appropriate techniques in a wide variety of application environments. Some topics including principal analysis, factor analysis, canonical correlation analysis, discriminant analysis, clustering and classification analysis etc. are contained in the course.
Fields in the biological, physical and social sciences frequently collect observations involved several variables. Data analysis on such cases becomes truly fascinating and challenging. Modern computer packages readily provide the techniques for complex statistical data analysis. Therefore, we integrate several aspects of computer usage into the course for illustration. This course contains an understanding of the basic knowledge and well-developed statistical theories necessary for selecting appropriate techniques in a wide variety of application environments. Some topics including principal analysis, factor analysis, canonical correlation analysis, discriminant analysis, clustering and classification analysis etc. are contained in the course.
1.邱皓政，(2002)，量化研究與統計分析：SPSS中文視窗版資料分析範例解析(二版)，台北：五南。
2.邱皓政，(2005)，量化研究法(一)，台北：雙葉。
3.邱皓政，(2005)，量化研究法(二)，台北：雙葉。
4.王保進，(2004)，多變量分析，台北：高等教育 (02-2388-5899)。
5.賴虹燕譯、酒井隆著，( 2004)，問卷設計、市場調查與統計分析實務入門，台北：博碩文化。
6.蕭文龍，(2007)，多變量分析最佳入門實用書—SPSS+LISREL(SEM)，台北：諅峰。
7.黃俊英，(2000)，多變量分析，台北：中國經濟企業研究所。
8.劉宏裕等譯 (Gratton, Chris & Jones, Ian原著)，( 2007)，運動研究方法，台北：華都文化。
9.Hair, Black, Babin, Anderson, Tatham. (2006). Multivariate Data Analysis(6th ed.). Upper Saddle River, NJ: Pearson Education.
10.陳昭蓉譯(高橋信原著)，世界第一簡單統計學因素分析篇，台北：世茂。
11.陳昭蓉譯(高橋信原著)，世界第一簡單統計學迴歸分析篇，台北：世茂。
1. Qiu Haozheng, (2002), Quantitative research and statistical analysis: Analysis of SPSS Chinese window version data analysis examples (second edition), Taipei: Wunan.
2. Qiu Haozheng, (2005), Quantitative Research Method (I), Taipei: Double Leaf.
3. Qiu Haozheng, (2005), Quantitative Research Method (II), Taipei: Double Leaf.
4. Wang Baojin, (2004), Multivariate Analysis, Taipei: Higher Education (02-2388-5899).
5. Feng Hong Yan Lu, Takashi Sakai, (2004), Question Design, Market Survey and Statistical Analysis and Initiative, Taipei: Bosing Culture.
6. Xu Wenlong, (2007), The best practical book for multivariate analysis—SPSS+LISREL(SEM), Taipei: Kuaifeng.
7. Huang Junying, (2000), Multivariate Analysis, Taipei: China Economic Enterprise Research Institute.
8. Liu Hongyu et al. (original work by Gratton, Chris & Jones, Ian), (2007), Sports Research Methods, Taipei: Huadu Culture.
9.Hair, Black, Babin, Anderson, Tatham. (2006). Multivariate Data Analysis(6th ed.). Upper Saddle River, NJ: Pearson Education.
10. Translation by Chen Zhaorong (original work by Gao Qiaoxin), the world's first simple statistical factor analysis, Taipei: Shimao.
11. Translation by Chen Zhaorong (original work by Gao Qiaoxin), the world's first simple statistical analysis chapter, Taipei: Shimao.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 分組報告no.1－描述性統計分組報告no.1－描述性統計 Sub-group Report no.1 - Descriptive Statistics |
15 | |
| 分組報告no.2－低階多變量分析分組報告no.2－低階多變量分析 Sub-group Report no.2 - Low-level Multivariate Analysis |
15 | |
| 分組報告no.3－探索性因素分析分組報告no.3－探索性因素分析 Sub-group report no.3-exploratory factor analysis |
15 |
