Measuring interobserver agreement is a method used to evaluate inconsistencies in findings from different evaluators who collect basically the same information. Emphasizing applications over theory, this book provides a comprehensive survey of this method and provides readers with standards and directions on how to run sound clinical and other types of studies. The author clearly explains how to reduce measurement error and presents numerous practical examples of the interobserver agreement approach. To help with problem solving, the treatment includes SAS code, both within the book and on the CRC Web site. An extensive review of the literature provides access to the latest developments in the field.