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Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests - Softcover

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9780805829471: Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests

Synopsis

Power analysis is an increasingly important concern in research, particularly in the social and behavioural sciences, where low power is a well-recognized problem. Power analysis helps researchers plan and evaluate studies and helps consumers of research make sense of what they read. This book presents a simple and general method for conducting power analysis in a wide range of studies. This book extends power analysis beyond the traditional, often criticized, hypothesis tests to modern testing methods. These tests query whether the effects of treatments, interventions etc, are sufficiently large to warrant attention, rather than asking whether any effect, no matter how small, exists.

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Review

"I recommend...[it] highly to biostatisticians, econometricians, and statisticians."
Journal of Statistical Computation and Simulation

"This a useful introductory text to power analysis. It would be well suited to researchers who are involved in testing hypotheses on an everyday basis, but without a strong statistical background."
Journal of the Royal Statistical Society

"...Murphy and Myors' ability to explain difficult or obscure concepts in an easy to understand style is what makes this text excellent....Students would find [this book] a refreshing approach to understanding and mastering a sometimes difficult task."
Kim Ernst, Ph.D.
Loyola University

"I found it easy to read and understand--not my typical reaction to a book of this type."
Joe Rosse, Ph.D.
University of Colorado at Boulder

"...I refer graduate students to it as they prepare their dissertation proposals....They turn to it for their research, and that is a very good sign."
James W. Lichtenberg, Ph.D.
University of Kansas

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Murphy, Kevin R., Myors, Brett
Published by Routledge, 1998
ISBN 10: 0805829474 ISBN 13: 9780805829471
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