Cover -- Half-title -- Title -- Copyright -- Dedication -- Contents -- Introduction -- About the book -- Supplementary software -- 1 The conceptual underpinnings of statistical power -- The importance of statistical power -- The book's approach to power -- The effect size concept -- The meaning of power -- Endnotes -- 2 Strategies for increasing statistical power -- Eleven strategies for increasing statistical power -- Summary -- 3 General guidelines for conducting a power analysis -- Estimating power values -- Recommended power and alpha values -- Hypothesizing the effect size -- Selecting an appropriate statistical procedure -- Using pairwise (1 df)contrasts -- The importance of modeling different power parameters -- An algorithm for selecting among analytic options available in later chapters -- For within subject (repeated measures) designs -- For between subject designs -- For other designs -- Reporting the results of a power analysis -- Summary -- Endnote -- 4 The t-test for independent samples -- Purpose of the statistic -- The t-test tables -- Templates for the independent samples t-test -- Summary -- Endnote -- 5 The paired t-test -- Purpose of the statistic -- The paired t-test tables -- Summary -- 6 One-way between subjects analysis of variance -- Purpose of the statistic -- Part I. The F-ratio tables -- Modeling the results -- Estimating sample size -- Part II. The multiple comparison tables -- Modeling the power of an MCP -- Summary -- Endnotes -- 7 One-way between subjects analysis of covariance -- Purpose of the statistic -- Part I. Power of the overall F-ratio -- Part II. Power of individual pairwise contrasts -- Summary -- Endnotes -- 8 One-way repeated measures analysis of variance -- Purpose of the statistic -- Part I. The F-ratio tables -- Part II. The multiple comparison tables.

9 Interaction effects for factorial analysis of variance -- Purpose of the statistic -- Experime tal i teractio s -- Effect sizes for 2 X 2 interactions -- Within subject example of more complex two-factor interactions -- Summary -- 10 Power analysis for more complex designs -- Main effects in two-factor designs -- Estimating the power of complex designs employing three or more factors -- One-way between subjects ANCOVA designs with r values other than 0.40 and 0.60 -- One-way within subject designs with r values other than 0.40 and 0.60 -- Other techniques for adjusting the ES values of main effects and interactions -- Modeling more complex designs employing simpler analogs -- Summary -- Endnotes -- 11 Other power analytic issues and resources for addressing them -- Specialized books on power -- General statistical texts of interest -- Power software -- The journal literature -- Conceptual/philosophical issues -- Power/sample size of specific statistical procedures -- ANOVA/ANCOVA -- Attrition (loss of subjects) -- Bio-equivalence -- Censored data and attrition/loss to follow-up -- Correlation techniques -- Dunnett multiple comparison procedure -- Group means -- Group sequential designs -- Logistic regression -- Logrank test -- Kappa -- Multivariate analysis of variance -- Non-central t and F -- Non-parametric procedures -- Relative risks -- Reliability -- Survival endpoints -- Web based resources -- Additional issues -- Conclusion -- Technical appendix -- Chapter 1. The conceptual underpinnings of statistical power -- Chapter 2. Strategies for increasing statistical power -- Chapter 5. The paired t-test -- Chapter 6. One-way analysis of variance -- Chapter 7. One-way analysis of covariance -- Chapter 8. One-way repeated measures analysis of variance -- Chapter 9. Interaction effects for two-factor between and mixed analysis of variance.

Chapter 10. Power analysis for complex designs -- Bibliography -- Index.