Description
Book SynopsisPower analysis is an essential tool for determining whether a statistically significant result can be expected in an experiment prior to the experiment being performed. This book provides researchers in the medical and biological sciences with an easy-to-use guide to the application of power analysis in the design of experiments.
Table of ContentsIntroduction; 1. The conceptual underpinnings of statistical power; 2. Strategies for increasing statistical power; 3. General guidelines for conducting a power analysis; 4. The t-test for independent samples; 5. The paired t-test; 6. One-way between subjects analysis of variance; 7. One-way between subjects analysis of covariance; 8. One-way repeated measures analysis of variance; 9. Interaction effects for factorial analysis of variance; 10. Power analysis for more complex designs; 11. Other power analytic issues and resources for addressing them; Technical appendix; Bibliography; Index.
