NCHU Course Outline
Course Name (中) 多變量統計與軟體操作應用(3038)
(Eng.) Multivariate Statistics and Data Analysis
Offering Dept International Bachelor Program in Agribusiness
Course Type Elective Credits 3 Teacher HSIEH CHI MING
Department International Bachelor Program in Agribusiness/Undergraduate Language English Semester 2025-SPRING
Course Description 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.
Prerequisites
self-directed learning in the course N
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
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.
topic Discussion/Production
Networking/Distance Education
Exercises
Discussion
Lecturing
Written Presentation
Attendance
Oral Presentation
Assignment
Quiz
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Intro. Syllabus (Selection of class representative)
Week 2 Review of using Excel I (related to Descriptive Statistics)
Week 3 Review of using Excel II
Ch2: Introduction to SPSS (Missing data, coding, frequency, charts, time series, etc.)
Week 4 Ch1: Inferential Statistics and Test Selection
Week 5 Ch3: Multiple Response
Week 6 Ch4: T Test for Independent Groups
Topic: STP Marketing Process (segmentation, targeting, and positioning)
Week 7 Survey research handbook (Ch4) (Alreck’s textbook) Guide Reading
Week 8 Survey research handbook (Ch5) (Alreck’s textbook) Guide Reading
Week 9 Mid-term proposal review and confirmed due by 4/16 (Wed) (Only topic and selected methods; no oral or attendance)
Week 10 Ch5: Paired-Samples T Test +Ch6: One-Way Analysis of Variance, with Post Hoc Comparisons
Week 11 Survey research handbook (Ch6) (Alreck’s textbook) Guide Reading
Week 12 Ch12: Factor Analysis + Cluster Analysis
Week 13 Proposal presentation
Developing Questionnaire
Week 14 Introduction of Importance-Performance Analysis (IPA)
Ch10: Correlation
Week 15 Ch11: Linear
Ch14: Multiple Regression/Path AnalysisRegression
Week 16 Guest Speaker Speech
Topic: Qualitative research introduction and data analysis (ATLAS.ti softeware)
Week 17 Oral presentation of final paper (Final full paper due by 6/14_Sat)
Week 18 Self-directed learning (學⽣⾃主學習)
Evaluation
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)
Textbook & other References
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.
Teaching Aids & Teacher's Website

Office Hours
Make an appointment
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Update Date, year/month/day：2025/01/15 21:29:36 Printed Date, year/month/day：2025 / 1 / 22
The second-hand book website：http://www.myub.com.tw/