List of figures |
List of tables |
List of boxes |
Preface |
Acknowledgements |
Introduction / 1: |
Averages, measures of dispersal and the t-test / 2: |
Summarising data |
Distribution |
Variability |
Testing for differences with the t-test |
Intuitive statistics |
Using one- and two-tailed tests |
A note on statistical power |
Using variance to test hypotheses / 3: |
Calculating F ratios for one-factor between-subjects designs / 4: |
One-factor between-subjects ANOVA: advanced topics / 5: |
ANOVA and the central limit theorem |
Assumptions underlying ANOVA |
Dealing with rogue data |
Following up a one-factor between-subjects ANOVA / 6: |
The meanings of ANOVA outcomes |
Pairwise comparisons for single-factor designs: planned comparisons and post-hoc testing |
Making comparisons between every possible pair of means |
Linear contrast analysis for single-factor designs |
Calculating F ratios for one-factor within-subjects designs / 7: |
Sources of error variability |
Calculating F for a within-subjects design |
Planned comparisons and post-hoc testing |
An introduction to factorial designs and interactions / 8: |
Outcomes of factorial designs |
Managing factorial designs |
Calculating F ratios for two-factor between-subjects designs / 9: |
Analysing a 2 [times] 2 between-subjects factorial design |
Following up a two-factor between-subjects ANOVA / 10: |
Some pitfalls in interpreting interactions |
Interpreting two-factor mixed and within-subjects designs / 11: |
Interpreting a three-factor ANOVA / 12: |
Summary and frequently asked questions / 13: |
A summary of follow-up tests for Analysis of Variance |
Frequently asked questions |
Writing up the results of Analysis of Variance / Appendix A: |
Statistical tables / Appendix B: |
Notes |
References |
Index |