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 powerCan 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 researchers560+ pages at a price researchers and students anywhere can affordNew 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.