TY  - BOOK
AU  - Murphy,Kevin R.
AU  - Myors,Brett
AU  - Wolach,Allen
TI  - Statistical power analysis: a simple and general model for traditional and modern hypothesis tests 
SN  - 9781848725881 (pbk)
U1  - 000SA.093 23
PY  - 2014///
CY  - New York :     
PB  - Routledge, 
KW  - Statistical hypothesis testing
KW  - Statistical power analysis
N1  - Includes bibliographical references and indexes; 1. The power of statistical tests --
2. A simple and general model for power analysis --
3. Power analysis for minimum-effect tests --
4. Using power analyses --
5. Correlation and regression --
6. t-Tests and the one-way analysis of variance --
7. Multifactor ANOVA designs --
8. Studies with multiple observations for each subject: repeated measures and multivariate analysis --
9. The implications of power analyses --
Appendices --
References --
Author index --
Subject index
N2  - 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. The book helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out out the way they do
ER  -