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| Preface | ||
| Ch. 1 | Introduction | |
| Ch. 2 | Matrix Algebra | |
| Ch. 3 | Multiple Regression | |
| Ch. 4 | Two-Group Multivariate Analysis of Variance | |
| Ch. 5 | K-Group Manova: A Priori and Post Hoc Procedures | |
| Ch. 6 | Assumptions in Manova | |
| Ch. 7 | Discriminant Analysis | |
| Ch. 8 | Factorial Analysis of Variance | |
| Ch. 9 | Analysis of Covariance | |
| Ch. 10 | Stepdown Analysis | |
| Ch. 11 | Confirmatory and Exploratory Factor Analysis | |
| Ch. 12 | Canonical Correlation | |
| Ch. 13 | Repeated Measures Analysis | |
| Ch. 14 | Categorical Data Analysis: The Log Linear Model | |
| References | ||
| App. A: Statistical Tables | ||
| App. B: Data Sets | ||
| App. C | Obtaining Nonorthogonal Contrasts in Repeated Measures Designs | |
| Answer Section | ||
| Author Index | ||
| Subject Index |
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| $99.99 | Digital |
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Add Applied Multivariate Statistics for the Social Sciences, This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and numerous examples enhance understa, Applied Multivariate Statistics for the Social Sciences to the inventory that you are selling on WonderClubX
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Add Applied Multivariate Statistics for the Social Sciences, This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and numerous examples enhance understa, Applied Multivariate Statistics for the Social Sciences to your collection on WonderClub |