5867 - 數量方法研討 英授 Taught in English
Seminar on Quantitative Methods
教育目標 Course Target
The field of applied statistics focuses on quantitative methods that aid in inferring statistical results and analyzing complex data in a business environment. This course introduces the basic concepts and methods of data science. We will demonstrates basic methods of data analysis, such as t-test, regression, ANOVA, factor analysis, structural equation modelling (SEM), etc.
To conceptually understand the basic ideas of applied statistics and data analysis, we will properly apply these applied statistics methods to real world problems using IBM SPSS (a statistical software), and draw valid conclusions.
You will also formulate, solve, and interpret mathematical models from various applications areas in applied statistics. This course will require the use of personal computers and spreadsheet-based software (SPSS). On SEM, we will use LISREL or AMOS software to introduce confirmatory analysis, second order factor analysis, multiple group analyses, structual model testing, mediating and moderating effect testing, ect.
The field of applied statistics focuses on quantitative methods that aid in inferring statistical results and analyzing complex data in a business environment. This course introduces the basic concepts and methods of data science. We will demonstrates basic methods of data analysis, such as t-test, regression, ANOVA, factor analysis, structural equation modelling (SEM), etc.
To conceptually understand the basic ideas of applied statistics and data analysis, we will properly apply these applied statistics methods to real world problems using IBM SPSS (a statistical software), and draw valid conclusions.
You will also formulate, solve, and interpret mathematical models from various applications areas in applied statistics. This course will require the use of personal computers and spreadsheet-based software (SPSS). On SEM, we will use LISREL or AMOS software to introduce confirmatory analysis, second order factor analysis, multiple group analysis, structural model testing, mediating and moderating effect testing, ect.
參考書目 Reference Books
Required 1: Hair et al. (2006), Multivariate Data Analysis (7th), Prentice Hall
Required 2: 蕭文龍 (2009), 多變量分析最佳入門實用書(第二版):SPSS+LISREL, 碁峰
Recommended: 邱皓政 (2011),量化研究與統計分析-SPSS資料分析範例(第五版),五南
Required 1: Hair et al. (2006), Multivariate Data Analysis (7th), Prentice Hall
Required 2: Zi Wenlong (2009), Best Practical Book for Multivariate Analysis (Second Edition): SPSS+LISREL, Qi Feng
Recommended: Qiu Haozheng (2011), Quantitative Research and Statistical Analysis-SPSS Data Analysis Example (Fifth Edition), Wunan
評分方式 Grading
評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
---|---|---|
作業 Action |
20 | |
專題 Special topic |
30 | |
期中考 Midterm exam |
25 | |
期末考 Final exam |
25 |
授課大綱 Course Plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5867
- 學分 Credit: 0-3
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上課時間 Course Time:Monday/5,6,7[M024]
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授課教師 Teacher:楊溥泰
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修課班級 Class:企管碩1,2
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