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Applied Statistics: From Bivariate Through Multivariate Techniques (2nd Revised edition)

Applied Statistics: From Bivariate Through Multivariate Techniques (2nd Revised edition)

By: Rebecca M. Warner (author)Hardback

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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. New to the Second Edition - Includes new chapters on Moderation (Chapter 15) and Mediation (Chapter 16), extending the range of statistical tools covered - Updates all SPSS screen shots and output to ISBM SPSS version 19 - Provides many new references, including for the analysis of data with many zeroes, and problems that can arise when standardized regression coefficients are compared across groups - Offers an expanded glossary of helpful key terms.

About Author

Rebecca M. Warner received a B.A. from Carnegie-Mellon University in Social Relations in 1973 and a Ph.D. in Social Psychology from Harvard in 1978. She has taught statistics for more than 25 years: from Introductory and Intermediate Statistics to advanced topics seminars in Multivariate Statistics, Structural Equation Modeling, and Time Series Analysis. She is currently a Full Professor in the Department of Psychology at the University of New Hampshire. She is a Fellow in the Association for Psychological Science and a member of the American Psychological Association, the International Association for Relationships Research, the Society of Experimental Social Psychology, and the Society for Personality and Social Psychology. She has consulted on statistics and data management for the World Health Organization in Geneva and served as a visiting faculty member at Shandong Medical University in China.


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

Product Details

  • ISBN13: 9781412991346
  • Format: Hardback
  • Number Of Pages: 1208
  • ID: 9781412991346
  • ISBN10: 141299134X
  • edition: 2nd Revised edition

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