There's a stat for that! : what to do & when to do it
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Bibliographic Information
There's a stat for that! : what to do & when to do it
SAGE, c2016
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Note
Includes index
Description and Table of Contents
Description
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!
Table of Contents
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. Cramer'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
by "Nielsen BookData"