Power analysis for experimental research a practical guide for the biological, medical, and social sciences - Bausell, Rufus Barker 1942- (Cambridge University Press, 2002)
Includes bibliographical references (pages 358-361) and index
Cover; Half-title; Title; Copyright; Dedication; Contents; 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
Power 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