Detection Theory: A User's Guide

Table of contents

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• Detection Theory: A User's Guide *
• Title Page *
• Contents vii
• Preface xiii
• Introduction xvii
• I - Basic Detection Theory and One-Interval Designs 1
• 1 - The Yes-No Experiment: Sensitivity 3
• 2 - The Yes-No Experiment: Response Bias 27
• 3 - The Rating Experiment and Empirical Rocs 51
• 4 - Alternative Approaches: Threshold Models and Choice Theory 81
• 5 - Classification Experiments for One-Dimensional Stimulus Sets 113
• II - Multidimensional Detection Theory and Multi-Interval Discrimination Designs 139
• 6 - Detection and Discrimination of Compound Stimuli: Tools for Multidimensional Detection Theory 141
• 7 - Comparis on (two-Distribution) Designs for Discrimination 165
• 8 - Classification Designs: Attention and Interaction 187
• 9 - Classification Designs for Discrimination 213

• Detection Theory: A User's Guide *
• Title Page *
• Contents vii
• Preface xiii
• Introduction xvii
• I - Basic Detection Theory and One-Interval Designs 1
• 1 - The Yes-No Experiment: Sensitivity 3
• 2 - The Yes-No Experiment: Response Bias 27
• 3 - The Rating Experiment and Empirical Rocs 51
• 4 - Alternative Approaches: Threshold Models and Choice Theory 81
• 5 - Classification Experiments for One-Dimensional Stimulus Sets 113
• II - Multidimensional Detection Theory and Multi-Interval Discrimination Designs 139
• 6 - Detection and Discrimination of Compound Stimuli: Tools for Multidimensional Detection Theory 141
• 7 - Comparis on (two-Distribution) Designs for Discrimination 165
• 8 - Classification Designs: Attention and Interaction 187
• 9 - Classification Designs for Discrimination 213
• 10 - Identification of Multidimensional Objects and Multiple Observation Intervals 245
• III - Stimulus Factors 267
• 11 - Adaptive Methods for Estimating Empirical Thresholds 269
• 12 - Components of Sensitivity 297
• IV - Statistics 317
• 13 - Statistics and Detection Theory 319
• Appendix 1 - Elements of Probability and Statistics 343
• Appendix 2 - Logarithms and Exponentials 357
• Appendix 3 - Flowcharts to Sensitivity and Bias Calculations 359
• Appendix 4 - Some Useful Equations 369
• Appendix 5 - Tables 374
• Appendix 6 - Software for Detection Theory 431
• Appendix 7 - Solutions to Selected Problems 435
• Glossary 447
• References 463
• Author Index 477
• Subject Index 483