Multivariate Statistics
(สถิติเชิงพหุ)
Definition
Multivariate Statistics (สถิติเชิงพหุ) Hard Skill
Multivariate Statistics is the branch of statistics that involves observation and analysis of more than one statistical outcome variable at a time to understand relationships and patterns among multiple variables simultaneously.
Expertise Level
Level 1
Basic
1. Understands fundamental statistical concepts such as mean, variance, and correlation.
2. Familiar with basic descriptive statistics for multiple variables.
3. Can interpret simple bivariate relationships and scatterplots.
Level 2
Intermediate
1. Can perform and interpret multivariate analysis techniques such as principal component analysis (PCA) and cluster analysis.
2. Understands assumptions underlying multivariate models.
3. Able to use statistical software to analyze multivariate data sets.
Level 3
Advanced
1. Can design and evaluate complex multivariate statistical models including factor analysis and discriminant analysis.
2. Able to handle high-dimensional data and address multicollinearity issues.
3. Uses advanced multivariate techniques for prediction, classification, and data reduction confidently.
Ministry of Higher Education
Science, Research and Innovation
Call Center 1313
328 Si Ayutthaya Rd., Thung Phaya Thai, Ratchathewi, Bangkok 10400 Tel. 02-610-5200 Fax. 02-354-5524.
Copyright © 2025 Skill Mapping.
This website is an official government agency site under the Office of the Permanent Secretary, Ministry of Higher Education, Science, Research and Innovation. It is established with the aim of improving the quality of management in the Office of the Permanent Secretary to meet public sector management standards, and is not intended for profit. If you find any information on this website that infringes intellectual property rights, please notify us so we can resolve the issue as soon as possible.