國立中興大學教學大綱
課程名稱 (中) 多變量統計與軟體操作應用(3038)
(Eng.) Multivariate Statistics and Data Analysis
開課單位 國農企學程
課程類別 選修 學分 3 授課教師 謝奇明
選課單位 國農企學程 / 學士班 授課使用語言 英文 英文/EMI Y 開課學期 1132
課程簡述 This course provides an introduction to statistical analysis, covering both descriptive and inferential statistics. The techniques and tools of multivariate statistical analysis play a critical role in fundamental disciplines within the social sciences, including Economics, Management, Psychology, Sociology, Agribusiness, and more. This course emphasizes the application of these techniques rather than their mathematical foundations.

By the end of the course, students are expected to effectively use widely adopted tools to analyze collected data for their final projects. Additionally, students will acquire skills in multivariate statistical methods and learn to apply them in their respective fields to address practical issues, such as consumer behavior analysis, agricultural product market investigations, or market segmentation.
先修課程名稱
課程含自主學習 N
課程與核心能力關聯配比(%) 課程目標之教學方法與評量方法
課程目標 核心能力 配比(%) 教學方法 評量方法
A key aim of this course is to provide students with a clear understanding of the primary multivariate methods, the knowledge of how to apply them, and the ability to use relevant analytical software.
專題探討/製作
網路/遠距教學
習作
討論
講授
書面報告
出席狀況
口頭報告
作業
測驗
授課內容(單元名稱與內容、習作/每週授課、考試進度-共18週)
週次 授課內容
第1週 Intro. Syllabus (Selection of class representative)
第2週 Review of using Excel I (related to Descriptive Statistics)
第3週 Review of using Excel II
Ch2: Introduction to SPSS (Missing data, coding, frequency, charts, time series, etc.)
第4週 Ch1: Inferential Statistics and Test Selection
第5週 Ch3: Multiple Response
第6週 Ch4: T Test for Independent Groups
Topic: STP Marketing Process (segmentation, targeting, and positioning)
第7週 Survey research handbook (Ch4) (Alreck’s textbook) Guide Reading
第8週 Survey research handbook (Ch5) (Alreck’s textbook) Guide Reading
第9週 Mid-term proposal review and confirmed due by 4/16 (Wed) (Only topic and selected methods; no oral or attendance)
第10週 Ch5: Paired-Samples T Test +Ch6: One-Way Analysis of Variance, with Post Hoc Comparisons
第11週 Survey research handbook (Ch6) (Alreck’s textbook) Guide Reading
第12週 Ch12: Factor Analysis + Cluster Analysis
第13週 Proposal presentation
Developing Questionnaire
第14週 Introduction of Importance-Performance Analysis (IPA)
Ch10: Correlation
第15週 Ch11: Linear
Ch14: Multiple Regression/Path AnalysisRegression
第16週 Guest Speaker Speech
Topic: Qualitative research introduction and data analysis (ATLAS.ti softeware)
第17週 Oral presentation of final paper (Final full paper due by 6/14_Sat)
第18週 Self-directed learning (學⽣⾃主學習)
學習評量方式
1. Homework: 15%
2. Group mid-term paper proposal: 20%
3. Group final paper (paper + presentation): 50%
4. Self-evaluation and peer evaluation: 15%
※Regular attendance is expected, and the student(s) will be withdrawn from the course if more than 3 absences (including excused and unexecuted absences)
教科書&參考書目(書名、作者、書局、代理商、說明)
Text book /key reading:
Ho, R. (2013). Handbook of univariate and multivariate data analysis with IBM SPSS. CRC Press.
References readings :
1. Spencer, N. H. (2013). Essentials of multivariate data analysis. CRC Press.
2. Alreck, P. L., & Settle, R. B. (2005). The survey research handbook. McGraw-Hill.
課程教材(教師個人網址請列在本校內之網址)

課程輔導時間
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