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Produktbild: Using R W/multivariate Statist

Using R W/multivariate Statist

Fr. 113.00

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Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.07.2015

Verlag

KNV Besorgung

Seitenzahl

408

Maße (L/B/H)

23.1/18.7/2.5 cm

Gewicht

710 g

Sprache

Englisch

ISBN

978-1-4833-7796-4

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.07.2015

Verlag

KNV Besorgung

Seitenzahl

408

Maße (L/B/H)

23.1/18.7/2.5 cm

Gewicht

710 g

Sprache

Englisch

ISBN

978-1-4833-7796-4

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  • Produktbild: Using R W/multivariate Statist
  • Preface
    Acknowledgments
    About the Author
    1. Introduction and Overview
    Background
    Persons of Interest
    Factors Affecting Statistics
    R Software
    Web Resources
    References
    2. Multivariate Statistics: Issues and Assumptions
    Issues
    Assumptions
    SPSS Check
    Summary
    Web Resources
    References
    3. Hotelling's T2 : A Two-Group Multivariate Analysis
    Overview
    Assumptions
    Univariate Versus Multivariate Hypothesis
    Practical Examples Using R
    Power and Effect Size
    Reporting and Interpreting
    Summary
    Exercises
    Web Resources
    References
    4. Multivariate Analysis of Variance
    MANOVA Assumptions
    MANOVA Example: One-Way Design
    MANOVA Example: Factorial Design
    Effect Size
    Reporting and Interpreting
    Summary
    Exercises
    Web Resources
    References
    5. Multivariate Analysis of Covariance
    Assumptions
    Multivariate Analysis of Covariance
    Reporting and Interpreting
    Propensity Score Matching
    Summary
    Web Resources
    References
    6. Multivariate Repeated Measures
    Assumptions
    Advantages of Repeated Measure Design
    Multivariate Repeated Measure Examples
    Reporting and Interpreting Results
    Summary
    Exercises
    Web Resources
    References
    7. Discriminant Analysis
    Overview
    Assumptions
    Dichotomous Dependent Variable
    Polytomous Dependent Variable
    Effect Size
    Reporting and Interpreting
    Summary
    Exercises
    Web Resources
    References
    8. Canonical Correlation
    Overview
    Assumptions
    R Packages
    Canonical Correlation Example
    Effect Size
    Reporting and Interpreting
    Summary
    Exercises
    Web Resources
    References
    9. Exploratory Factor Analysis
    Overview
    Types of Factor Analysis
    Assumptions
    Factor Analysis Versus Principal Components Analysis
    EFA Example
    Reporting and Interpreting
    Summary
    Exercises
    Web Resources
    References
    Appendix: Attitudes Toward Educational Research Scale
    10. Principal Components Analysis
    Overview
    Assumptions
    Basics of Principal Components Analysis
    Principal Component Example
    Reporting and Interpreting
    Summary
    Exercises
    Web Resources
    References
    11. Multidimensional Scaling
    Overview
    Assumptions
    R Packages
    Goodness-of-Fit Index
    MDS Metric Example
    MDS Nonmetric Example
    Reporting and Interpreting Results
    Summary
    Exercises
    Web Resources
    References
    12. Structural Equation Modeling
    Overview
    Assumptions
    Equal Variance-Covariance Matrices
    Correlation Versus Covariance Matrix
    R Packages
    CFA Models
    Structural Equation Models
    Reporting and Interpreting Results
    Summary
    Exercises
    Web Resources
    References
    Statistical Tables
    Table 1: Areas Under the Normal Curve (z Scores)
    Table 2: Distribution of t for Given Probability Levels
    Table 3: Distribution of r for Given Probability Levels
    Table 4: Distribution of Chi-Square for Given Probability Levels
    Table 5: The F Distribution for Given Probability Levels (.05 Level)
    Table 6: The Distribution of F for Given Probability Levels (.01 Level)
    Table 7: Distribution of Hartley F for Given Probability Levels
    Chapter Answers
    R Installation and Usage
    R Packages, Functions, Data Sets, and Script Files
    Index