A User's Guide
- Available for pre-order. Item will ship after September 28, 2021
Detection Theory: A User’s Guide is an introduction to one of the most important tools for the analysis of data where choices must be made, and performance is not perfect. In these cases, detection theory can transform judgments about subjective experiences, such as perceptions and memories, into quantitative data ready for analysis and modeling.
For beginners, the first three chapters introduce measuring detection and discrimination, evaluating decision criteria, and the utility of receiver operating characteristics. Later chapters cover more advanced research paradigms including: complete tools for application, including flowcharts, tables, and software; student-friendly language; complete coverage of content area, including both one-dimensional and multidimensional models; integrated treatment of threshold and nonparametric approaches; an organized, tutorial level introduction to multidimensional detection theory; and popular discrimination paradigms presented as applications of multidimensional detection theory.
This modern summary of signal detection theory is both a self-contained reference work for users and a readable text for graduate students and researchers learning the material either in courses or on their own.
Table of Contents
PART I. Basic Detection Theory and One-Interval Designs 1. The Yes-No Experiment: Sensitivity 2. The Yes-No Experiment: Response Bias 3. Beyond Binary Responses: The Rating Protocol and Empirical ROCs 4. Classification Experiments for One-Dimensional Stimulus Sets 5. Threshold Models and Choice Theory; PART II. Multidimensional Detection Theory and Multi-Interval Discrimination Designs 6. Detection and Discrimination of Compound Stimuli 7. Comparison (Two-Distribution) Designs for Discrimination 8. Classification Designs: Attention and Interaction 9. Classification Designs for Discrimination 10. Identification of Multidimensional Objects and Multiple Observation Intervals; PART III. Stimulus Factors 11. Adaptive Methods for Estimating Empirical Thresholds 12. Components of Sensitivity; PART IV. Statistics 13 Statistics and Detection Theory; Appendices Appendix 1. Elements of Probability and Statistics Appendix 2. Logarithms and Exponentials Appendix 3. Flowcharts to Sensitivity and Bias Calculations Appendix 4. Some Useful Equations Appendix 5. Tables Appendix 6. Software for Detection Theory Appendix 7. Solutions to Selected Problems
Michael Hautus is Head of the Psychophysics Laboratory in the School of Psychology at the University of Auckland, New Zealand. His research interests include quantitative assessment of the functioning of the auditory system, modelling auditory, visual, and flavor judgment, and modelling cognitive processes involved in judgment.
"The second edition of Detection Theory has been my invaluable companion for many years. It has always been in easy reach to answer my questions. Now that book will move to a place of honored retirement as I call on this new and improved third edition to guide me." -- Jeremy Wolfe, Brigham and Women’s Hospital & Harvard Medical School, USA
"The great value of signal detection theory is that it protects you from the dangerous intuitions you will almost certainly otherwise have. After these erroneous intuitions are used to interpret data or build a theory, they will eventually be corrected by someone who knows the difference between d′ and β. It would be better to avoid that fate, and the best way to do that is to carefully study this comprehensive handbook." -- John Wixted, University of California, San Diego, USA
"Signal detection theory was developed in the context of research in sensory psychology, but its impact quickly spread to many other areas, in part because the two previous editions of this book provided such a clear explanation of the theory along with a review of its many applications. This third edition of Detection Theory: A User’s Guide has been thoroughly updated and will continue to be an invaluable reference and textbook." -- Walt Jesteadt, Boys Town National Research Hospital, USA
"More than anything else, this book has served as a signpost for my research career. It’s that powerful; the tools that general." -- Caren Rotello, University of Massachusetts, Amherst, USA