Includes bibliographical references and index.

1. Introduction to Social Science Research Principles and Terminology, 2. Measures of Central Tendency, 3. Measures of Variability, 4. The Normal Distribution, 5. Standardization and z Scores, 6. Standard Errors, 7. Statistical Significance, Effect Size, and Confidence Intervals, 8. t Tests, 9. One-Way Analysis of Variance, 10. Factorial Analysis of Variance, 11. Repeated-Measures Analysis of Variance, 12. Correlation, 13. Regression, 14. Nonparametric Statistics, 15. Factor Analysis and Reliability Analysis: Data Reduction Techniques, 16. Person-Centered Analysis, Appendix A. Area Under the Normal Curve Beyond Z, Appendix B. Critical Values of the t Distributions, Appendix C. Critical Values of the F Distributions, Appendix D. Critical Values of the Studentized Range Statistic (for Tukey HSD Tests), Appendix E: Table of the Fischer’s Z Transformations for Correlation Coefficients, Appendix F. Critical Values of the Mann-Whitney U Statistic, Appendix G. Critical Values for Wilcoxon Signed-Rank Test, Appendix H. Critical Values of the X2 Distributions

"Statistics in Plain English is a straightforward, conversational introduction to statistics that delivers exactly what its title promises. Each chapter begins with a brief overview of a statistic that describes what the statistic does and when to use it, followed by a detailed step-by-step explanation of how the statistic works and exactly what information it provides. Chapters also include an example of the statistic (or statistics) in use in real-world research, "Worked Examples," "Writing It Up" sections that demonstrate how to write about each statistic, "Wrapping Up and Looking Forward" sections, and practice work problems"--