Statistical Power Analysis : a Simple and General Model for Traditional and Modern Hypothesis Tests /

Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical a...

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Bibliographic Details
Main Author: Murphy, Kevin R., 1952-
Corporate Author: Ebook Library
Other Authors: Myors, Brett, Wolach, Allen
Format: eBook
Language:English
Published: New York, NY : Routledge, Taylor & Francis, 2014.
Edition:4th ed.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical analysis how to obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to choose the appropriate criterion for defining statistically significant outcomes are sprinkled throughout. The book presents a simple and general model for statistical power analysis based on the F statistic and reviews how to determine: the sample size needed to achieve desired levels of power; the level of power needed in a study; the size of effect that can be reliably detected by a study; and sensible criteria for statistical significance.
Item Description:Electronic resource.
Physical Description:1 online resource (244 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9781317680574
131768057X