There's a Stat for That!

What to Do & When to Do it

Häftad, Engelska, 2015

999 kr

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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!

Produktinformation

Utgivningsdatum2015-06-04
Mått152 x 228 x 16 mm
Vikt190 g
FormatHäftad
SpråkEngelska
Antal sidor120
Upplaga1
FörlagSAGE Publications
ISBN9781483318752

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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 There’s a Stat for That!, and 100 Questions (and Answers) About Tests and Measurement. He also wrote Statistics Hacks for O’Reilly 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.

There′s a Stat for That!PrefaceAcknowledgmentsAbout the AuthorThe BasicsPART 1. FREQUENCY ANALYSISModule 1. Binomial TestModule 2. Chi-SquaredModule 3. Kolmogorov-Smirnov TestModule 4. Single-Sample t TestModule 5. Fisher Exact TestModule 6. Two-Way Chi-SquaredPART 2. GROUP COMPARISONSModule 7. Mann-Whitney TestModule 8. Independent t TestModule 9. Median TestModule 10. Kruskal-Wallis TestModule 11. Analysis of VarianceModule 12. Two-Way Analysis of VarianceModule 13. aAalysis of CovarianceModule 14. Multivariate Analysis of VariancePART 3. REPEATED MEASURES OF ANALYSESModule 15. McNemar Change TestModule 16. Wilcoxon Signed Ranks TestModule 17. Paired-Samples t TestModule 18. Cochran Q TestModule 19. Friedman TestModule 20. Repeated Measures Analysis of VarianceModule 21. Two-Way Repeated MeasuresModule 22. Mixed Analysis of VarianceModule 23. Time Series AnalysisPART 4. CORRELATIONAL ANALYSESModule 24. Kappa Coefficient of AgreementModule 25. Spearman Correlation CoefficientModule 26. Phi Correlation CoefficientModule 27. Cramér’s V CoefficientModule 28. Simple Logistic RegressionModule 29. Multiple Logistic RegressionModule 30. Discriminant AnalysisModule 31. Pearson Correlation CoefficientModule 32. Simple Linear RegressionModule 33. Multiple Linear RegressionModule 34. Canonical CorrelationModule 35. Exploratory Factor AnalysisModule 36. Confirmatory Factor AnalysisModule 37. Cluster AnalysisModule 38. Path AnalysisModule 39. Structural Equation ModelingModule 40. Hierarchical Linear ModelingIndex