Multivariate Data Analysis Chapter 5 Discrimination Analysis and Logistic Regression

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Chapter 5. What Are Discrimination Analysis and Logistic Regression?Analogy with Regression and MANOVAHypothetical Example of Discriminant AnalysisA Two Group Discriminant Analysis: Purchasers Versus NonpurchasersA Geometric Representation of the Two Group Discriminant FunctionA Three-group Exa
Multivariate Data Analysis Chapter 5 Discrimination Analys...

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1. Multivariate Data Analysis Chapter 5 ? Discrimination Analysis and Logistic Regression MIS 6093 Statistical Method Instructor: Dr. Ahmad Syamil

2. Chapter 5 What Are Discrimination Analysis and Logistic Regression? Analogy with Regression and MANOVA Hypothetical Example of Discriminant Analysis A Two Group Discriminant Analysis: Purchasers Versus Nonpurchasers A Geometric Representation of the Two Group Discriminant Function A Three-group Example of Discriminant Analysis: Switching Intentions

3. Chapter 5 The Decision Process for Discriminant Analysis Stage 1: Objectives of Discriminant Analysis Stage 2: Research Design for Discriminant Analysis Selection of Dependent and Independent Variables Sample Size Division of the Sample Stage 3: Assumptions of Discriminant Analysis

4. Chapter 5 The Decision Process for Discriminant Analysis Cont. Stage 4: Estimation of the Discriminant Model and Assessing Overall Fit Computation Method Statistical Significance Assessing Overall Fit Calculating Discriminant Z Score Evaluating Group Differences Assessing Group Membership Prediction Accuracy Casewise Diagnostics Misclassification of Individual Cases Summary

5. Chapter 5 The Decision Process for Discriminant Analysis Cont. Stage 5: Interpretation of the Results Discriminant Weights Discriminant Loadings Partial F Values Interpretation of Two or More Functions Rotation of the Discriminant Functions Potency Index Graphical Display of Discriminant Loadings Which Interpretive Method to Use?

6. Chapter 5 The Decision Process for Discriminant Analysis Cont. Stage 6: Validation of the Results Split-Sample or Cross-Validation Procedures Profiling Group Differences

7. Chapter 5 Logistic Regression: Regression with a Binary Dependent Variable Representation of the Binary Dependent Variable Estimating the Logistic Regression Model Interpreting the Coefficients Assessing the Goodness-of-Fit of the Estimated Model Testing for Significance of the Coefficients Other Similarities To Multiple Regression

8. Chapter 5 A Two-group Illustrative Example Stage 1: Objectives of the Discriminant Analysis Stage 2: Research Design of the Discriminant Analysis Selection of Dependent and Independent Variables Sample Size Division of the Sample Stage 3: Assumption of Discriminant Analysis

9. Chapter 5 A Two-group Illustrative Example Cont. Stage 4: Estimation of the Discriminant Function and Assessing Overall Fit Estimation of the Discriminant Function Assessing Overall Fit Casewise Diagnostics Stage 5: Interpretation of the Discriminant Function Stage 6: Validation of the Discriminant Results A Managerial Overview

10. Chapter 5 A Three-group Illustrative Example Stage 1: Objectives of the Discriminant Analysis Stage 2: Research Design of the Discriminant Analysis Stage 3: Assumptions in Discriminant Analysis Stage 4: Estimation of the Discriminant Function and Assessment Estimation of the Discriminant Functions Statistical Significance Assessing Overall Fit Casewise Diagnostics

11. Chapter 5 A Three-group Illustrative Example Cont. Stage 5: Interpretation of Three-group Discriminant Analysis Results Rotation Assessing the Contribution of Predictor Variables Stage 6: Validation of the Discriminant Results A Managerial Overview

12. Chapter 5 An Illustrative Example of Logistic Regression Summary Questions References ???end


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