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

Murphy, Kevin R.; Myors, Brett; Murphy, Kevin; Wolach, Allen

Couverture souple

ISBN 10 : 0805829474 ISBN 13 : 9780805829471

Editeur : Lawrence Erlbaum Associates Inc, 1998

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.

A propos du livre

Présentation de l'éditeur

This book presents a simple and general method for conducting statistical power analysis based on the widely used F statistic. The book illustrates how these analyses work and how they can be applied to problems of studying design, to evaluate others' research, and to choose the appropriate criterion for defining "statistically significant" outcomes. Statistical Power Analysis examines the four major applications of power analysis, concentrating on how to determine:

*the sample size needed to achieve desired levels of power;

*the level of power that is needed in a study;

*the size of effect that can be reliably detected by a study; and

*sensible criteria for statistical significance.

Highlights of the second edition include: a CD with an easy-to-use statistical power analysis program; a new chapter on power analysis in multi-factor ANOVA, including repeated-measures designs; and a new One-Stop PV Table to serve as a quick reference guide.

The book discusses the application of power analysis to both traditional null hypothesis tests and to minimum-effect testing. It demonstrates how the same basic model applies to both types of testing and explains how some relatively simple procedures allow researchers to ask a series of important questions about their research. Drawing from the behavioral and social sciences, the authors present the material in a nontechnical way so that readers with little expertise in statistical analysis can quickly obtain the values needed to carry out the power analysis.

Ideal for students and researchers of statistical and research methodology in the social, behavioral, and health sciences who want to know how to apply methods of power analysis to their research.

Détails de l'édition

• Éditeur: Lawrence Erlbaum Associates Inc
• Date d'édition: 1998
• ISBN 10: 0805829474
• ISBN 13: 9780805829471
• Reliure: Broché
• Langue: anglais
• Nombre de pages: 128
• Coordonnées du fabricant: non disponible