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course information of 109 - 2 | 6237 Method and Applications for Data Analysis(資料分析方法與應用)

6237 - 資料分析方法與應用 Method and Applications for Data Analysis


教育目標 Course Target

By the end of this course, students should be able to understand: 1.Factor Analysis (Exploratory vs. Confirmatory factor analysis) 2.Path analysis (causal models) 3.Structural equation modeling (using statistical software packages and interpret the results properly )Students will learn the concept of multivariate analysis and also how to use software to undertake these analyses. After attending the course, students should be able to describe the relationship between commonly used statistical methods and structural equation modeling (SEM); define the statistical concepts behind factor analysis, path analysis, and structural equation modeling; explain the above statistical methods and properly interpret their results.By the end of this course, students should be able to understand: 1.Factor Analysis (Exploratory vs. Confirmatory factor analysis) 2.Path analysis (causal models) 3.Structural equation modeling (using statistical software packages and interpret the results properly)Students will learn the concept of multivariate analysis and also how to use software to undertake these analyses. After attending the course, students should be able to describe the relationship between commonly used statistical methods and structural equation modeling (SEM); define the statistical concepts behind factor analysis, path analysis, and structural equation modeling; explain the above statistical methods and properly interpret their results.


參考書目 Reference Books

1.吳明隆,結構方程模式方法與實務應用,麗文文化
2.豊田秀樹,結構方程模式分析 AMOS,鼎茂圖書出版
3.結構方程模式的基本原理,麗文文化
4. 蕭文龍 ,統計分析SPSS中文版+PLS_SEM(SmartPLS),碁峰。
1. Wu Minglong, Structural Equation Model Method and Practical Application, Liwen Culture
2. Hideki Toyoda, Structural Equation Model Analysis AMOS, Ding Mao Books Publishing
3. Basic principles of structural equation model, Liwen Culture
4. Xiao Wenlong, statistical analysis SPSS Chinese version + PLS_SEM (SmartPLS), Qi Feng.


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
平時成績(出席、參與及作業)平時成績(出席、參與及作業)
Daily results (attendance, participation and homework)
30 五次(含)以上無故缺席0%
分組報告分組報告
Group report
20
期中考及期中報告期中考及期中報告
Midterm exam and midterm report
25
期末報告期末報告
Final report
25

授課大綱 Course Plan

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Course Information

Description

學分 Credit:0-3
上課時間 Course Time:Monday/5,6,7[M408]
授課教師 Teacher:張伊婷
修課班級 Class:資管碩1,2
選課備註 Memo:大學部四年級可選,採人工加選。
授課大綱 Course Plan: Open

選課狀態 Attendance

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