Offering students the opportunity to determine and understand statistical analysis by first choosing the answers to basic design questions, readers will find that this hands-on book simplifies a complex research design into a few basic components.  

There′s a Stat for That! Preface Acknowledgments About the Author The Basics PART 1. FREQUENCY ANALYSIS Module 1. Binomial Test Module 2. Chi-Squared Module 3. Kolmogorov-Smirnov Test Module 4. Single-Sample t Test Module 5. Fisher Exact Test Module 6. Two-Way Chi-Squared PART 2. GROUP COMPARISONS Module 7. Mann-Whitney Test Module 8. Independent t Test Module 9. Median Test Module 10. Kruskal-Wallis Test Module 11. Analysis of Variance Module 12. Two-Way Analysis of Variance Module 13. aAalysis of Covariance Module 14. Multivariate Analysis of Variance PART 3. REPEATED MEASURES OF ANALYSES Module 15. McNemar Change Test Module 16. Wilcoxon Signed Ranks Test Module 17. Paired-Samples t Test Module 18. Cochran Q Test Module 19. Friedman Test Module 20. Repeated Measures Analysis of Variance Module 21. Two-Way Repeated Measures Module 22. Mixed Analysis of Variance Module 23. Time Series Analysis PART 4. CORRELATIONAL ANALYSES Module 24. Kappa Coefficient of Agreement Module 25. Spearman Correlation Coefficient Module 26. Phi Correlation Coefficient Module 27. Cramér’s V Coefficient Module 28. Simple Logistic Regression Module 29. Multiple Logistic Regression Module 30. Discriminant Analysis Module 31. Pearson Correlation Coefficient Module 32. Simple Linear Regression Module 33. Multiple Linear Regression Module 34. Canonical Correlation Module 35. Exploratory Factor Analysis Module 36. Confirmatory Factor Analysis Module 37. Cluster Analysis Module 38. Path Analysis Module 39. Structural Equation Modeling Module 40. Hierarchical Linear Modeling Index