- English
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eBook - ePub
About this book
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!
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access There′s a Stat for That! by Bruce B. Frey in PDF and/or ePUB format, as well as other popular books in Education & Experimental Methods in Education. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Acknowledgements
- Title Page
- Copyright Page
- Contents
- There’s a Stat for That!
- Publisher Note
- 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 Analysis of Covariance
- Module 14 Multivariate Analysis of Variance
- Part 3 Repeated Measures 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 When you wish to analyze a chain of correlations among several interval level variables
- Module 39 Structural Equation Modeling When you wish to analyze a set of correlational chains and theoretical unmeasured variables
- Module 40 Hierarchical Linear Modeling When you wish to control for the fact that your data are not independent of each other
- Index
- Publisher Note