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Contents
  1. About this book
  2. 1. Foreword
Planning a Study
  1. 2. A Few Words About Causality
  2. 3. Variance and Error
  3. 4. Design
  4. 5. Effect Size and Power
  5. 6. Sample Size
Describing and Preparing Data
  1. 7. Describing Data
  2. 8. Assumptions and Outliers
  3. 9. Normalization, Standardization, and Data Transformation
Comparing Groups
  1. 10. t-Tests and Their Rank-Based Alternatives
  2. 11. Equivalence Testing
  3. 12. ANOVA: Analysis of Variance
  4. 13. Factorial ANOVA and Interactions
  5. 14. ANCOVA: Analysis of Covariance
  6. 15. MANOVA: Multiple Analysis of Variance
Repeated Measures
  1. 16. Repeated-Measures ANOVA
  2. 17. Mixed Designs
Relationships Between Variables
  1. 18. Correlations
  2. 19. Chi-Square Test
  3. 20. Simple Linear Regression
  4. 21. Multiple Linear Regression Analysis
  5. 22. Categorical Predictors
  6. 23. Multiple Logistic Regression
  7. 24. Mediation Analysis
  8. 25. Path Analysis
  1. References

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