Brief Course Description
1. Course Title:
Multivariate Data Analysis
2. Language of Instruction:
Tiếng Việt
3. Course Code:
MAT708002
4. Credits:
2
5. Course Objectives:
The Multivariate Data Analysis course systematically provides multivariate analysis methods for primary data commonly used in business analysis as well as academic research. This course fosters students' ability to construct and test measurement scales for latent constructs used in academic research in the field of behavioral science, utilizing SPSS and AMOS software. Students will also learn the theory and application of Cluster Analysis to group survey subjects with similar characteristics based on selected analysis attributes; Discriminant Analysis techniques to identify features that distinguish subjects in a study; Correspondence Analysis and Multidimensional Scaling to map people's cognitive perceptions of the objects of interest; and finally, the Logistic Regression tool, which is used to model the relationship between a binary dependent variable and one or more independent variables, helping in classification and prediction tasks.
6. Brief Description of Course Content:
The Multivariate Data Analysis course provides a systematic approach to multivariate analysis of primary data that is commonly used in business analysis as well as academic research. This course equips learners the way to build & test construct scales used in research and applications, using SPSS and AMOS software. Techniques for testing the effects of moderator and mediate variables in research models. In addition, learners also know how to use cluster analysis to group objects, and discriminant analysis to find features to help distinguish objects, or multidimensional scaling to draw the perceptual mapping of mind people about interested objects.