Useful Links
Statistics
Multivariate Analysis
1. Introduction to Multivariate Analysis
2. Foundations in Matrix Algebra and Random Vectors
3. The Multivariate Normal Distribution
4. Data Preparation and Exploration
5. Principal Component Analysis
6. Factor Analysis
7. Multiple Linear Regression
8. Multivariate Analysis of Variance
9. Discriminant Analysis
10. Logistic Regression
11. Cluster Analysis
12. Canonical Correlation Analysis
13. Multidimensional Scaling
14. Advanced Multivariate Methods
Factor Analysis
Factor Analysis Model
Common Factor Model
Mathematical Formulation
Model Components
Common Factors
Unique Factors
Factor Loadings
Model Assumptions
Exploratory vs. Confirmatory Factor Analysis
Exploratory Factor Analysis (EFA)
Purpose and Applications
Model-Free Approach
Confirmatory Factor Analysis (CFA)
Theory-Driven Approach
Model Specification
Hypothesis Testing
Key Concepts
Communality
Definition and Interpretation
Initial Communality Estimates
Uniqueness
Factor Loadings
Interpretation Guidelines
Cross-Loadings
Factor Scores
Factor Extraction Methods
Principal Axis Factoring
Maximum Likelihood Method
Principal Components Method
Image Factoring
Alpha Factoring
Determining Number of Factors
Kaiser's Criterion
Scree Test
Parallel Analysis
Minimum Average Partial Test
Theoretical Considerations
Factor Rotation
Orthogonal Rotation Methods
Varimax
Quartimax
Equamax
Oblique Rotation Methods
Promax
Direct Oblimin
Quartimin
Simple Structure Principle
Factor Analysis Output Interpretation
Factor Pattern Matrix
Factor Structure Matrix
Factor Correlation Matrix
Reproduced Correlation Matrix
Residual Matrix
Factor Score Estimation
Regression Method
Bartlett Method
Anderson-Rubin Method
Model Evaluation
Goodness-of-Fit Assessment
Residual Analysis
Factor Determinacy
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7. Multiple Linear Regression