Power Analysis for Experimental Research: A Practical Guide for the Biological, Medical and Social Sciences

Introduction 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.