Research Decisions and Estimation With Confidence and Power

This book is about research with an emphasis on inference, sample size, confidence intervals, and a rational approach to power, offered at an affordable price for students everywhere. It explores current controversies in inferential statistics. It deals with sample size estimation for a wide variety of experimental situations.

• An updated general statistics text/reference that emphasizes the latest approaches to a priori sample size and power
• Can be used as a text for majors or non-majors in statistics, as a curriculum for any level of statistical training, or as a reference for researchers
• 560+ pages at a price researchers and students anywhere can afford
• New material researched from classical and recent literature (extensive citations and index)
• Avoids the use of the unfortunately common "large," "medium," and "small," which has been discredited for decades, including by the tacit admission of its author, Cohen (1988, p25)
• Discusses ways to avoid pitfalls due to the lack of robustness of the ANOVA, the fact that data is almost never normal etc.