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Multivariate Data Analysis Chapter 8 - Canonical Correlation Analysis

Multivariate Data Analysis Chapter 8 - Canonical Correlation Analysis. MIS 6093 Statistical Method Instructor: Dr. Ahmad Syamil. Chapter 8. What Is Canonical Correlation? Hypothetical Example of Canonical Correlation . Chapter 8 Analyzing Relationships with Canonical Correlation.

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Multivariate Data Analysis Chapter 8 - Canonical Correlation Analysis

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  1. Multivariate Data AnalysisChapter 8 - Canonical Correlation Analysis MIS 6093 Statistical Method Instructor: Dr. Ahmad Syamil

  2. Chapter 8 • What Is Canonical Correlation? • Hypothetical Example of Canonical Correlation

  3. Chapter 8Analyzing Relationships with Canonical Correlation • Stage 1: Objectives of Canonical Correlation Analysis • Stage 2: Designing a Canonical Correlation Analysis • Stage 3: Assumptions in Canonical Correlation

  4. Chapter 8Analyzing Relationships with Canonical Correlation Cont. • Stage 4: Deriving the Canonical Functions and Assessing Overall Fit • Deriving Canonical Functions • Which Canonical Functions Should Be Interpreted? • Level of Significance • Magnitude of the Canonical Relationships • Redundancy Measure of Shared Variance

  5. Chapter 8Analyzing Relationships with Canonical Correlation Cont. • Stage 5: Interpreting the Canonical Variate • Canonical Weights • Canonical Loadings • Canonical Cross-Loadings • Which Interpretation Approach to Use • Stage 6: Validation and Diagnosis

  6. Chapter 8An Illustrative Example • Stage 1: Objectives of Canonical Correlation Analysis • Stages 2 and 3: Designing a Canonical Correlation Analysis and Testing the Assumptions • Stage 4: Deriving the Canonical Functions and Assessing Overall Fit • Statistical and Practical Significance • Redundancy Analysis

  7. Chapter 8An Illustrative Example Cont. • Stage 5: Interpreting the Canonical Variates • Canonical Weights • Canonical Loadings • Canonical Cross-Loadings • Stage 6: Validation and Diagnosis

  8. Chapter 8 • A Managerial Overview • Summary • Questions • References ……end

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