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There's a Stat for That!
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There's a Stat for That!
What to Do & When to Do it



May 2015 | 120 pages | SAGE Publications, Inc

Bruce Frey’s There’s a Stat for That! is a brief, straightforward, and to-the-point guide to deciding which statistical analysis to use and when to use it. Designed for consultants, researchers, students, and those who already have the resources to tell them how to perform the analyses, this text explains why a particular statistical approach is the right one to use. The book affirms that regardless of the group design, once the variables are chosen and the measurement strategy is worked out, one can rest assured that there is a stat for that!



 
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

Excellent supplement for my students conducting their capstone study!

Dr Nikki Shipley
Health Services Mgmt Dept, University Of La Verne
May 20, 2015

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