| Description |
1 online resource (850 pages) |
| Contents |
Front Cover; Title Page; Copyright Page; Contents; Preface; 1 Introduction; 1.1 Multivariate Statistics: Why?; 1.1.1 The Domain of Multivariate Statistics: Numbers of IVs and DVs; 1.1.2 Experimental and Nonexperimental Research; 1.1.3 Computers and Multivariate Statistics; 1.1.4 Garbage In, Roses Out?; 1.2 Some Useful Definitions; 1.2.1 Continuous, Discrete, and Dichotomous Data; 1.2.2 Samples and Populations; 1.2.3 Descriptive and Inferential Statistics; 1.2.4 Orthogonality: Standard and Sequential Analyses; 1.3 Linear Combinations of Variables; 1.4 Number and Nature of Variables to Include |
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1.5 Statistical Power1.6 Data Appropriate for Multivariate Statistics; 1.6.1 The Data Matrix; 1.6.2 The Correlation Matrix; 1.6.3 The Variance-Covariance Matrix; 1.6.4 The Sum-of-Squares and Cross-Products Matrix; 1.6.5 Residuals; 1.7 Organization of the Book; 2 A Guide to Statistical Techniques: Using the Book; 2.1 Research Questions and Associated Techniques; 2.1.1 Degree of Relationship Among Variables; 2.1.1.1 Bivariate r; 2.1.1.2 Multiple R; 2.1.1.3 Sequential R; 2.1.1.4 Canonical R; 2.1.1.5 Multiway Frequency Analysis; 2.1.1.6 Multilevel Modeling; 2.1.2 Significance of Group Differences |
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2.1.2.1 One-Way ANOVA and t Test2.1.2.2 One-Way ANCOVA; 2.1.2.3 Factorial ANOVA; 2.1.2.4 Factorial ANCOVA; 2.1.2.5 Hotelling's T 2; 2.1.2.6 One-Way MANOVA; 2.1.2.7 One-Way MANCOVA; 2.1.2.8 Factorial MANOVA; 2.1.2.9 Factorial MANCOVA; 2.1.2.10 Profile Analysis of Repeated Measures; 2.1.3 Prediction of Group Membership; 2.1.3.1 One-Way Discriminant Analysis; 2.1.3.2 Sequential One-Way Discriminant Analysis; 2.1.3.3 Multiway Frequency Analysis (Logit); 2.1.3.4 Logistic Regression; 2.1.3.5 Sequential Logistic Regression; 2.1.3.6 Factorial Discriminant Analysis |
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2.1.3.7 Sequential Factorial Discriminant Analysis2.1.4 Structure; 2.1.4.1 Principal Components; 2.1.4.2 Factor Analysis; 2.1.4.3 Structural Equation Modeling; 2.1.5 Time Course of Events; 2.1.5.1 Survival/Failure Analysis; 2.1.5.2 Time-Series Analysis; 2.2 Some Further Comparisons; 2.3 A Decision Tree; 2.4 Technique Chapters; 2.5 Preliminary Check of the Data; 3 Review of Univariate and Bivariate Statistics; 3.1 Hypothesis Testing; 3.1.1 One-Sample z Test as Prototype; 3.1.2 Power; 3.1.3 Extensions of the Model; 3.1.4 Controversy Surrounding Significance Testing; 3.2 Analysis of Variance |
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3.2.1 One-Way Between-Subjects ANOVA3.2.2 Factorial Between-Subjects ANOVA; 3.2.3 Within-Subjects ANOVA; 3.2.4 Mixed Between-Within-Subjects ANOVA; 3.2.5 Design Complexity; 3.2.5.1 Nesting; 3.2.5.2 Latin-Square Designs; 3.2.5.3 Unequal n and Nonorthogonality; 3.2.5.4 Fixed and Random Effects; 3.2.6 Specific Comparisons; 3.2.6.1 Weighting Coefficients for Comparisons; 3.2.6.2 Orthogonality of Weighting Coefficients; 3.2.6.3 Obtained F for Comparisons; 3.2.6.4 Critical F for Planned Comparisons; 3.2.6.5 Critical F for Post Hoc Comparisons; 3.3 Parameter Estimation; 3.4 Effect Size |
| Notes |
3.5 Bivariate Statistics: Correlation and Regression |
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Print version record |
| Subject |
Multivariate analysis.
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Statistics.
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Multivariate analysis
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Statistics
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| Reading List |
MMM907 prescribed text 2024
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| Form |
Electronic book
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| Author |
Fidell, Linda
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| ISBN |
9780134792859 |
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0134792858 |
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