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9780521809160

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

by
  • ISBN13:

    9780521809160

  • ISBN10:

    0521809169

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2002-10-07
  • Publisher: Cambridge University Press

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Summary

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.

Author Biography

R. Barker Bausell is Professor at the University of Maryland School of Medicine and Director of Research of the Complementary Medicine Program. He has served as the editor-in-chief of the peer-reviewed methodology journal Evaluation and the Health Professions for the past 25 years and has conducted statistical research in a number of disciplines related to the medical sciences. Yu-Fang Li is a Data Analyst at the Department of Veteran's Affairs, Puget Sound Health Care System in Seattle, Washington. She previously worked as a statistical consultant with a particular interest in meta-analysis.

Table of Contents

Introduction ix
The conceptual underpinnings of statistical power
1(15)
Strategies for increasing statistical power
16(20)
General guidelines for conducting a power analysis
36(14)
The t-test for independent samples
50(7)
The paired t-test
57(14)
One-way between subjects analysis of variance
71(40)
One-way between subjects analysis of covariance
111(68)
One-way repeated measures analysis of variance
179(60)
Interaction effects for factorial analysis of variance
239(63)
Power analysis for more complex designs
302(27)
Other power analytic issues and resources for addressing them
329(12)
Technical appendix 341(17)
Bibliography 358(4)
Index 362

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