Detection Theory: A User's Guide (Paperback, 2)

Contents: Preface. Introduction. Part I: Basic Detection Theory and One-Interval Designs. The Yes-No Experiment: Sensitivity. The Yes-No Experiment: Response Bias. The Rating Experiment and Empirical ROCs. Alternative Approaches: Threshold Models and Choice Theory. Classification Experiments for One-Dimensional Stimulus Sets. Part II: Multidimensional Detection Theory and Multi-Interval Discrimination Designs. Detection and Discrimination of Compound Stimuli: Tools for Multidimensional Detection Theory. Comparison (Two-Distribution) Designs for Discrimination. Classification Designs: Attention and Interaction. Classification Designs for Discrimination. Identification of Multidimensional Objects and Multiple Observation Intervals. Part III: Stimulus Factors. Adaptive Methods for Estimating Empirical Thresholds. Components of Sensitivity. Part IV: Statistics. Statistics and Detection Theory. Appendices: Elements of Probability and Statistics. Logarithms and Exponentials. Flowcharts to Sensitivity and Bias Calculations. Some Useful Equations. Tables. Software for Detection Theory. Solutions to Selected Problems.