Includes bibliographical references (p. 463-475) and indexes
1. The yes-no experiment : sensitivity -- 2. The yes-no experiment : response bias -- 3. The rating experiment and empirical ROCs -- 4. Alternative approaches : threshold models and choice theory -- 5. Classification experiments for one-dimensional stimulus sets -- 6. Detection and discrimination of compound stimuli : tools for multidimensional detection theory -- 7. Comparison (two-distribution) designs -- 8. Classification designs : attention and interaction -- 9. Classification designs for discrimination -- 10. Identification of multidimensional objects and multiple observation intervals -- 11. Adaptive methods for estimating empirical thresholds -- 12. Components of sensitivity -- 13. Statistics and detection theory
0
"Detection Theory, Second Edition is an introduction to one of the most important tools for analysis of data where choices must be made and performance is not perfect. Originally developed for evaluation of electronic detection, detection theory was adopted by psychologists as a way to understand sensory decision making, then embraced by students of human memory. It has since been utilized in areas as diverse as animal behavior and X-ray diagnosis."--BOOK JACKET