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Test Bank For Applied Statistics: From Bivariate Through Multivariate Techniques Second Edition by Rebecca (Becky) M. (Margaret) Warner

Name: Test Bank For Applied Statistics: From Bivariate Through Multivariate Techniques Second Edition by Rebecca (Becky) M. (Margaret) Warner
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ISBN-10 ‏ : ‎ 141299134X
ISBN-13 ‏ : ‎ 978-1412991346
Author: Rebecca M. Warner

Rebecca M. Warner′s Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

Table of Contents:

PrefaceAcknowledgmentsAbout the AuthorChapter 1. Review of Basic ConceptsChapter 2. Basic Statistics, Sampling Error, and Confidence IntervalsChapter 3. Statistical Significance TestingChapter 4. Preliminary Data ScreeningChapter 5. Comparing Group Means Using the Independent Samples t TestChapter 6. One-Way Between-Subjects Analysis of VarianceChapter 7. Bivariate Pearson CorrelationChapter 8. Alternative Correlation CoefficientsChapter 9. Bivariate RegressionChapter 10. Adding a Third Variable: Preliminary Exploratory AnalysesChapter 11. Multiple Regression With Two Predictor VariablesChapter 12. Dummy Predictor Variables in Multiple RegressionChapter 13. Factorial Analysis of VarianceChapter 14. Multiple Regression With More Than Two PredictorsChapter 15. Moderation: Tests for Interaction in Multiple RegressionChapter 16. MediationChapter 17. Analysis of CovarianceChapter 18. Discriminant AnalysisChapter 19. Multivariate Analysis of VarianceChapter 20. Principal Components and Factor AnalysisChapter 21. Reliability, Validity, and Multiple-Item ScalesChapter 22. Analysis of Repeated MeasuresChapter 23. Binary Logistic RegressionAppendix A: Proportions of Area Under a Standard Normal CurveAppendix B: Critical Values for t DistributionAppendix C: Critical Values of FAppendix D: Critical Values of Chi-SquareAppendix E: Critical Values of the Pearson Correlation CoefficientAppendix F: Critical Values of the Studentized Range StatisticAppendix G: Transformation of r (Pearson Correlation) to Fisher ZGlossaryReferencesIndex