Using R with multivariate statistics : a primer /: a primer. (2015)

• Record Type: Book
• Further Information: Note: Randall E. Schumacker.
• Authors: Schumacker, Randall E
• Contents: Chapter 1: Introduction and Overview; Background; Persons of Interest; Factors Affecting Statistics; R Software; Web Resources; Chapter 2: Multivariate Statistics: Issues and Assumptions; Issues; Assumptions; Chapter 3: Hotelling’s T2 : A Two-Group Multivariate Analysis; Assumptions; Univariate versus Multivariate Hypothesis; Practical Examples Using R; Power and Effect Size; Reporting and Interpreting; Chapter 4: Multivariate Analysis of Variance (MANOVA); Assumptions; MANOVA Example: Oneway Design; MANOVA Example: Factorial Design; Effect Size; Reporting and Interpreting; Chapter 5: Multivariate Analysis of Covariance (MANCOVA); Assumptions; MANCOVA; Reporting and Interpreting; Propensity Score Matching; Chapter 6: Multivariate Repeated Measures; Assumptions; Advantages of Repeated Measure Design; Multivariate Repeated Measure Example; Reporting and Interpreting Results; Chapter 7: Discriminant Analysis; Assumptions; Dichotomous Dependent Variable; Polytomous Dependent Variable; Effect Size; Reporting and Interpreting; Chapter 8: Canonical Correlation; Assumptions; R Packages; Canonical Correlation Example; Effect Size; Reporting and Interpreting; Chapter 9: Exploratory Factor Analysis; Types of Factor Analysis; Assumptions; Factor Analysis versus Principal Components Analysis; EFA Example; Factors; Reporting and Interpreting; Chapter 10: Principal Components; Assumptions; Basics of Principal Components Analysis; Principal Component Example; Reporting and Interpreting; Chapter 11: Multidimensional Scaling; Assumptions; R Packages; Goodness of Fit Index; MDS Metric Example; MDS non-Metric Example; Reporting and Interpreting Results; Chapter 12: Structural Equation Modeling; Assumptions; Equal variance-covariance matrices; Correlation vs. Covariance matrix; R packages; Confirmatory Factor Models; Structural Equation Models; Reporting and Interpreting Results;
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2015
• Extent: 1 online resource
• Subjects: 519.53502855133; Multivariate analysis -- Data processing; R (Computer program language); Statistics -- Data processing
• Languages: English
• ISBNs: 9781483377957
• Related ISBNs: 9781483377964
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
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