一般
Important announcement
Due to the pandemic prevention measures, this class will be held on google meet from 13th-26th September. The links for joining the classes are provided in the weekly schedule below.
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Important announcement
Due to the pandemic prevention measures, this class will be held on google meet from 13th-26th September. The links for joining the classes are provided in the weekly schedule below.
Join this week class on this link: meet.google.com/qwd-hpwq-jtd
Introduction methods and model building
1 Basic concept of multivariate analysis
2 Types of multivariate techniques
3 A structured approach to multivariate model building
Join this week's class on this link: meet.google.com/mgt-vfjv-ebw
Cleaning and transforming data
1 Graphical examination of data
2 Missing data and outliers
3 Testing assumptions of multivariate analysis
Simple and multiple regression
1 What is multiple regression analysis?
2 A decision process for multiple regression analysis
Multiple discriminant analysis and logistic regression
1 What are discriminant analysis and logistic regression?
2 Hypothetical example of discriminant analysis
Multiple discriminant analysis and logistic regression
3 The decision process for discriminant analysis
paper reading
ANOVA and MANOVA
11.1 MANOVA: Extending univariate methods for assessing group differences
11.2 A hypothetical illustration of MANOVA
Cluster analysis
1 What is cluster analysis?
2 How does cluster analysis work
3 Cluster analysis decision process
Factor analysis
1 What is factor analysis
2 Factor analysis decision process
3 Examples
Social network analysis
1 What is social network analysis?
2 SEM and other multivariate techniques
3 The role of theory in structural equation modeling
15.4 A simple example of SEM