Murphy K.R., Myors B., Wolach A. Statistical Power Analysis: A Simple and General Model for Traditional and Modern Hypothesis Tests

Third Edition. — N.-Y.: Routledge, 2008. — 224 p.The Power of Statistical Tests.
The Structure of Statistical Tests.
The Mechanics of Power Analysis.
Statistical Power of Research in the Social and Behavioral Sciences.
Using Power Analysis.
Hypothesis Tests Versus Confidence Intervals.
A Simple and General Model for Power Analysis.
The General Linear Model, the F Statistic, and Effect Size.
The F Distribution and Power.
Using the Noncentral F Distribution to Assess Power.
Translating Common Statistics and ES Measures Into F.
Defining Large, Medium, and Small Effects.
Nonparametric and Robust Statistics.
From F to Power Analysis.
Analytic and Tabular Methods of Power Analysis.
Using the One-Stop F Table.
The One-Stop F Calculator.
Power Analyses for Minimum-Effect Tests.
Implications of Believing That the Nil Hypothesis Is Almost Always Wrong.
Minimum-Effect Tests as Alternatives to Traditional Null Hypothesis Tests.
Testing the Hypothesis That Treatment Effects Are Negligible.
Using the One-Stop Tables to Assess Power to Test Minimum-Effect Hypotheses.
Using the One-Stop F Calculator for Minimum-Effect Tests.
Using Power Analyses.
Estimating the Effect Size.
Four Applications of Statistical Power Analysis.
Calculating Power.
Determining Sample Sizes.
Determining the Sensitivity of Studies.
Determining Appropriate Decision Criteria.
Correlation and Regression.
The Perils of Working With Large Samples.
Multiple Regression.
Power in Testing for Moderators.
Why Are Most Moderator Effects Small?
Implications of Low Power in Tests for Moderators.
The t-Test.
Independent Groups t-Test.
Traditional Versus Minimum-Effect Tests.
One-Tailed Versus Two-Tailed Tests.
Repeated Measures or Dependent t-Test.
The Analysis of Variance.
Which Means Differ?
Multifactor ANOVA Designs.
The Factorial Analysis of Variance.
Factorial ANOVA Example.
Fixed, Mixed, and Random Models.
Randomized Block ANOVA: An Introduction to Repeated-Measures Designs.
Independent Groups Versus Repeated Measures.
Complexities in Estimating Power in Repeated-Measures Designs.
Split-Plot Factorial ANOVA.
Power for Within-Subject Versus Between-Subject Factors.
The Multivariate Analysis of Variance.
The Implications of Power Analyses.
Tests of the Traditional Null Hypothesis.
Tests of Minimum-Effect Hypotheses.
Direct Benefits of Power Analysis.
Indirect Benefits of Power Analysis.
Costs Associated With Power Analysis.
Implications of Power Analysis: Can Power Be Too High?Appendices.
Author Index.
Subject Index.