Frey presents students, academics, researchers, and professionals working in a variety of contexts with his comprehensive guide to when and how to use a variety of statistical techniques in a variety of research settings. The author has organized the forty modules that make up the main body of his text in four sections devoted to frequency analysis, group comparisons, repeated measures analysis, and correlational analysis. Specific subjects covered in the text include the binomial test, the single-sample test, analysis of covariance, and many others. Bruce B. Frey is a faculty member of the University of Kansas. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)
Bruce Freys Theres a Stat for That!is a brief, straightforward, and to-the-point guide to decidingwhich 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!
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.
Recenzijos
[ 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
Theres 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. Cramérs 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
Bruce B. Frey, PhD, is an award-winning researcher, author, teacher, and professor of educational psychology at the University of Kansas. He is the editor of The SAGE Encyclopedia of Educational Research, Measurement and Evaluation and the SAGE Encyclopedia of Educational Design. In addition to being the lead author for The Statistics for People Who (Think They) Hate Statistics series, his books for SAGE include Theres a Stat for That!, Modern Classroom Assessment, and 100 Questions (and Answers) About Tests and Measurement. He also wrote Statistics Hacks for OReilly Media. In his spare time, Bruce leads a secret life as Professor Bubblegum, host of a YouTube channel and Echo Valley, a podcast that celebrates bubblegum pop music of the late 1960s. The show is wildly popular with the young people.
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