Confidence Intervals for Proportions and Related Measures of Effect Size [Hardcover]

Confidence Intervals for Proportions and Related Measures of Effect Sizeillustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. The book provides you with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case.

Drawing on his extensive work as a statistician and professor at Cardiff University School of Medicine, the author brings together methods for calculating confidence intervals for proportions and several other important measures, including differences, ratios, and nonparametric effect size measures generalizing Mann-Whitney and Wilcoxon tests. He also explains three important approaches to obtaining intervals for related measures. Many examples illustrate the application of the methods in the health and social sciences. Requiring little computational skills, the book offers user-friendly Excel spreadsheets for download at www.crcpress.com, enabling you to easily apply the methods to your own empirical data.

Hypothesis Tests and Confidence Intervals
Sample and Population
Hypothesis Testing and Confidence Intervals: The Fundamentals
Why Confidence Intervals Are Generally More Informative Than p-Values
Measures of Effect Size
When Are Point and Interval Estimates Less Helpful?
Frequentist, Bayesian and Likelihood Intervals
Just What Is Meant by the Population?
The Unit of Data
Sample Size Planning

Means and Their Differences
Confidence Interval for a Mean
Confidence Interval for the Difference between Means of Independent Samples
Confidence Interval for the Difference between Two Means Based on Individually Paired Samples
Scale Transformation
Non-Pal³"