Guided tour
Introduction
List of figures
List of tables
List of boxes
Acknowledgements
Part 1: Descriptive statistics
1. Why you need statistics: Types of data
2. Describing variables: Tables and diagrams
3. Describing variables numerically: Averages, variation and spread
4. Shapes of Distributions of Scores
5. Standard deviation and z-scores: The standard unit of measurement in statistics
6. Relationships between two or more variables: Diagrams and tables
7. Correlation coefficients: Pearson correlation and Spearman's rho
8. Regression: Prediction with precision
Part 2: Significance testing
9. Samples and populations: Generalising and inferring
10. Statistical significance for the correlation coefficient: A practical introduction to statistical inference
11. Standard error: The standard deviation of the means of samples
12. The t-test: Comparing two samples of correlated/related/paired scores
13. The t-test: Comparing two samples of unrelated/uncorrelated scores
14. Chi-square: Differences between samples of frequency data
15. Probability
16. Reporting significance levels succinctly
17. One-tailed versus two-tailed significance testing
18. Ranking tests: Nonparametric statistics
Part 3: Introduction to analysis of variance
19. The variance ratio test: The F-ratio to compare two variances
20. Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA
21. Analysis of variance for correlated scores or repeated measures
22. Two-way analysis of variance for unrelated/uncorrelated scores: Two studies for the price of one?
23. Multiple comparisons in ANOVA: Just where do the differences lie?
24. Mixed-design ANOVA: Related and Unrelated Variables together
25. Analysis of covariance: Controlling for additional variables
26. Multivariate Analysis of Variance (MANOVA)
27. Discriminant (Function) analysis especially in MANOVA
28. Statistics and the analysis of experiments
Part 4: More advanced correlational statistics
29. Partial correlation: Spurious correlation, third or confounding variables, suppressor variables
30. Factor analysis: Simplifying complex data
31. Multiple regression and multiple correlation
32. Path analysis
33. The analysis of a questionnaire/survey project
Part 5: Assorted advanced techniques
34. The size of effects in statistical analysis: Do my findings matter?
35. Meta-analysis: Combining and exploring statistical findings from previous research
36. Reliability in scales and measurement: Consistency and agreement
37. Confidence intervals
38. The influence of moderator variables on relationships between two variables
39. Statistical power analysis: getting the sample size right
Part 6: Advanced qualitative or nominal techniques
40. Log-Linear Methods: The analysis of complex contingency tables
41. Multinomial logistic regression: Distinguishing between several different categories
42. Binomial Logistic Regression
Appendices
Appendix A: Testing for excessively skewed distributions
Appendix B1: Large sample formulae for the nonparametric tests
Appendix B2: Nonparametric tests for three or more groups
Appendix C: Extended table of significance for the Pearson correlation coefficient
Appendix D: Table of significance for the Spearman correlation coefficient
Appendix E: Extended table of significance for the t-test
Appendix F: Table of significance for Chi-square
Appendix G: Extended table of significance for the sign test
Appendix H: Table of significance for the Wilcoxon Matched Pairs Test
Appendix I: Table of significance for the Mann-Whitney U-test
Appendix J: Table of significance values for the F-distribution
Appendix K: Table of significant values oft when making multiple t-tests
Glossary
References
Index