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Overview | |
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Introduction | |
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The Nature of Multivariate Data | |
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Overview of Multivariate Methods | |
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Format of Succeeding Chapters | |
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Vectors and Matrixes | |
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Introduction | |
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Definitions | |
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Geometric Interpretation of Operations | |
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Matrix Properties | |
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Learning Summary | |
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Exercises | |
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Analysis of Interdependence | |
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Regression Analysis | |
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Introduction | |
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Regression Analysis: How it Works | |
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Sample Problem: Leslie Salt Property | |
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Learning Summary | |
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Exercises | |
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Principal Components Analysis | |
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Introduction | |
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Principal Components: How it Works | |
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Sample Problem: Gross State Production | |
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Questions Regarding the Application of Principal Components | |
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Learning Summary | |
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Exercises | |
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Exploratory Factor Analysis | |
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Introduction | |
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Exploratory Factor Analysis: How it Works | |
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Sample Problem: Perceptions of Ready-to-Eat Cereals | |
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Questions Regarding the Application of Factor Analysis | |
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Learning Summary | |
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Exercises | |
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Confirmatory Factor Analysis | |
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Introduction | |
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Confirmatory Factor Analysis: How Does it Work? Sample Problems | |
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Questions Regarding the Application of Confirmatory Factor Analysis | |
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Learning Summary | |
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Exercises | |
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Multidimensional Scaling | |
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Introduction | |
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Metric MDS: How Does it Work? Non-Metric MDS: How Does it Work? Individual Differences Scaling: How Does It Work? Centroid Scaling: How Does it Work? A Note on Model Validation | |
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Learning Summary | |
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Exercises | |
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Clustering | |
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Introduction | |
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Objectives of Cluster Analysis | |
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Measures of Distance, Dissimilarity, and Density | |
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Agglomerative Clustering: How IT Works | |
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Partitioning: How it Works | |
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Sample Problem: Preference Segmentation | |
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Questions Regarding the Application of Cluster Analysis | |
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Learning Summary | |
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Exercises | |
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Analysis of Dependence | |
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Canonical Correlation | |
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Introduction | |
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Canonical Correlation: How Does it Work? Sample Problem | |
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Questions Regarding the Application of Canonical Correlation | |
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Learning Summary | |
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Exercises | |
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Structural Equation Models with Latent Variables | |
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Introduction | |
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Structural Equations with Latent Variables: How Does it Work? Sample Problem: Modeling the Adoption of Innovation | |
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Questions Regarding the Application of Structural Equations with Latent Variables | |
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Learning Summary | |
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Exercises | |
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Analysis of Variance | |
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Introduction | |
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Anolva And Ancova: How Does it Work? Sample Problem: Test Marketing a New Product | |
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Multiple Analysis of Variance (MANOVA): How Does it Work | |
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Sample Problem: Testing Advertising Message Strategy | |
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Questions Regarding the Application of Manova and Mancova | |
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Learning Summary | |
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Exercises | |
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Discriminant Analysis | |
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Introduction | |
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Two-Group Discriminant Analysis: How Does it Work? Sample Problem: Book Club Data | |
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Questions Regarding the Application of Two-Group Discriminant Analysis | |
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Multiple Discriminant Analysis: How Does it Work? Sample Problem: Real Estate | |
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Questions Regarding the Application of Multiple Discriminant Analysis | |
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Learning Summary | |
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Exercises | |
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Logit Choice Models | |
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Introduction | |
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Binary Logit Model: How Does it Work? Sample Problem: Books Direct | |
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Multinomial Logit Model: How Does it Work? Sample Problem: Brand Choice | |
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Questions Regarding the Application of Logit Choice Models | |
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Learning Summary | |
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Exercises | |