Applied Statistics: From Bivariate Through Multivariate Techniques Second

Applied Statistics: From Bivariate Through Multivariate Techniques Second – Digital Instant Dowload.

Product details:

• 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 Author

Chapter 1. Review of Basic Concepts

Chapter 2. Basic Statistics, Sampling Error, and Confidence Intervals

Chapter 3. Statistical Significance Testing

Chapter 4. Preliminary Data Screening

Chapter 5. Comparing Group Means Using the Independent Samples t Test

Chapter 6. One-Way Between-Subjects Analysis of Variance

Chapter 7. Bivariate Pearson Correlation

Chapter 8. Alternative Correlation Coefficients

Chapter 9. Bivariate Regression

Chapter 10. Adding a Third Variable: Preliminary Exploratory Analyses

Chapter 11. Multiple Regression With Two Predictor Variables

Chapter 12. Dummy Predictor Variables in Multiple Regression

Chapter 13. Factorial Analysis of Variance

Chapter 14. Multiple Regression With More Than Two Predictors

Chapter 15. Moderation: Tests for Interaction in Multiple Regression

Chapter 16. Mediation

Chapter 17. Analysis of Covariance

Chapter 18. Discriminant Analysis

Chapter 19. Multivariate Analysis of Variance

Chapter 20. Principal Components and Factor Analysis

Chapter 21. Reliability, Validity, and Multiple-Item Scales

Chapter 22. Analysis of Repeated Measures

Chapter 23. Binary Logistic Regression

Appendix A: Proportions of Area Under a Standard Normal Curve

Appendix B: Critical Values for t Distribution

Appendix C: Critical Values of F

Appendix D: Critical Values of Chi-Square

Appendix E: Critical Values of the Pearson Correlation Coefficient

Appendix F: Critical Values of the Studentized Range Statistic

Appendix G: Transformation of r (Pearson Correlation) to Fisher Z

Glossary

References

Index

Title tag

Mastering Applied Statistics: Bivariate to Multivariate Techniques, Second Edition
Guide to Applied Statistics: Bivariate Through Multivariate Techniques Second Ed.
Step-by-Step Applied Statistics Handbook: Bivariate to Multivariate, Second Edition