Brief Course Description
1. Course Title:
(EN) Multivariate Data analysis
2. Language of Instruction:
3. Course Code:
MAT608001
4. Credits:
3
5. Course Objectives:
• Implement basic and advanced multivariate data analysis methods.
• Comprehend and scientifically interpret the results of multivariate data analysis.
• Apply knowledge and skills in multivariate data analysis to practical applied research.
6. Brief Description of Course Content:
The Multivariate Data Analysis course systematically introduces multivariate analysis methods for primary data, which are commonly used in business analysis and academic research. This course equips students with analytical tools such as factor analysis for validating measurement scales of latent constructs in behavioral science research, cluster analysis for grouping survey respondents, discriminant analysis for identifying characteristics that differentiate groups, correspondence analysis and multidimensional scaling for mapping human perceptions of objects of interest, mediation variable analysis and moderation variable analysis using the least squares regression technique. Lastly, the course covers two-way analysis of variance (ANOVA).