Power Analysis for Experimental Research
A Practical Guide for the Biological, Medical and Social Sciences
1st Edition
Published on 20. December 2004
978-0-511-05770-0 (ISBN)
Description
Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will approve experiments, particularly where they involve the use of human subjects. This comprehensive, yet accessible, book provides practising researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and the normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables to guide the reader without the need for further calculations or statistical expertise. This will be an indispensable text for researchers and graduates in the medical and biological sciences needing to apply power analysis in the design of their experiments.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
189 Tables, unspecified; 6 Line drawings, unspecified
File size
1,74 MB
ISBN-13
978-0-511-05770-0 (9780511057700)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
R. Barker Bausell | Yu-Fang Li
Power Analysis for Experimental Research
A Practical Guide for the Biological, Medical and Social Sciences
Book
03/2006
Cambridge University Press
€75.20
Shipment within 15-20 days
R. Barker Bausell | Yu-Fang Li
Power Analysis for Experimental Research
A Practical Guide for the Biological, Medical and Social Sciences
Book
09/2002
Cambridge University Press
€173.60
Shipment within 15-20 days
Persons
R. Barker Bausell is Professor at the University of Maryland School of Medicine and Director of Research of the Complementary Medicine Program. YU-FANG LI is a Data Analyst at the Department of Veteran's Affairs, Puget Sound Health Care System in Seattle, Washington.
Content
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.
