An easy-to-use guide to the application of power analysis to the design of scientific experiments. Num Pages: 376 pages, 6 b/w illus. 189 tables. BIC Classification: PS; TQ. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 22. Weight in Grams: 670. . 2002. hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Power Analysis for Experimental Research: A Practical Guide for the Biological, Medical and Social Sciences
Publisher: Cambridge University Press
Publication Date: 2002
Language: English
ISBN 10: 0521809169
ISBN 13: 9780521809160
Binding: Hardcover
Condition: New

About this title

Synopsis

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. This comprehensive, accessible book provides practicing researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables that make further calculations or statistical expertise unnecessary.

About the Authors

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.

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