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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



April 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

[…T]his is a book that students will keep for their entire career. It will be handy year after year as they are designing and conducting research. It will help them to design studies that answer their exact research hypothesis, rather than designing studies around the techniques they know how to use.

Joe Benz, University of Neraska Kearney

Clear writing style, nice tables and charts, and good references to journal articles for each statistic make this valuable for reviewing statistics and for helping decide which statistic to use in a research situation.

Dr. T. John Alexander, Texas Wesleyan University

The consistency of the visual presentation of the topics is very clear and helpful. Things to consider is more simple and easy to understand and use than any other supplemental books I have used.

Yeonsoo Kim, University of Nevada, Las Vegas

Short, concise treatment of topics is a notable strength of this book. Each test is boiled down to its basics, giving a precise and ‘in the nutshell’ reference that students are likely to find straightforward and helpful.

Nicole McDonald, Cornerstone University

Excellent supplement for my students conducting their capstone study!

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

KEY FEATURES:

 

  • A unique table of statistics at the front of the book points readers to the right procedure to use, along with a standard table of contents.
  • Dozens of the most common and useful statistical analyses are explained, providing comprehensive coverage of all the procedures most researchers will ever need.
  • Real-life examples for many different designs and statistics show the application of almost every type of statistical analysis in context.
  • Each procedure includes a set of things to consider, along with helpful details on how a stat is used and interpreted.
  • Full citations of real-life studies allow readers to look up the actual study to learn more about real-world use of the statistical procedures.

Sage College Publishing

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