| Description |
1 online resource (453 p.) |
| Contents |
Cover -- Endorsement Page -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Introduction -- Part I Basic Detection Theory and One-Interval Designs -- Chapter 1 The Yes-No Experiment: Sensitivity -- Understanding Yes-No Data -- Implied Receiver Operating Characteristics -- The Signal-Detection Model -- Calculational Methods -- Essay: The Provenance of Detection Theory -- Summary -- Computational Appendix -- Calculation of the Function for the ROC Curve on Probability Coordinates -- Supplementary Material -- Problems -- References |
|
Chapter 2 The Yes-No Experiment: Response Bias -- Two Examples -- Measuring Response Bias -- Alternative Measures of Bias -- Isobias Curves -- Experimental Manipulation of Bias -- Comparing the Bias Measures -- How Does the Participant Choose a Decision Rule? -- Calculating Hit and False-Alarm Rates from Parameters -- Variability of Decision Criteria -- Essay: On Human Decision-Making -- Summary -- Computational Appendix -- Supplementary Material -- Problems -- References -- Chapter 3 Beyond Binary Responses: The Rating Experiment and Empirical Receiver Operating Characteristics |
|
Design of Rating Experiments -- Receiver Operating Characteristic Analysis -- Relationship between Binary and Rating Responses -- ROC Analysis with Slopes Other Than 1 -- Estimating Bias -- Systematic Parameter Estimation and Methods of Calculation -- Alternative Ways to Generate ROCs -- Another Kind of ROC: Type 2 -- Essay: Are ROCs Necessary? -- Summary -- Computational Appendix -- Supplementary Material -- Problems -- References -- Chapter 4 Classification Experiments for One-Dimensional Stimulus Sets -- Design of Classification Experiments -- Perceptual One-Dimensionality |
|
Two-Response Classification -- Experiments with More Than Two Responses -- Nonparametric Measures -- Comparing Classification and Discrimination -- Summary -- Problems -- References -- Chapter 5 Threshold Models and Choice Theory -- Single High-Threshold Theory -- Low-Threshold Theory -- Double High-Threshold Theory -- Choice Theory -- Measures Based on Areas in ROC Space: Unintentional Applications of Choice Theory -- Nonparametric Analysis of Rating Data -- Essay: The Appeal of Discrete Models -- Summary -- Computational Appendix -- Problems -- References |
|
Part II Multidimensional Detection Theory and Multi-Interval Discrimination Designs -- Chapter 6 Detection and Discrimination of Compound Stimuli: Tools for Multidimensional Detection Theory -- Distributions in One- and Two-Dimensional Spaces -- Some Characteristics of Two-Dimensional Spaces -- Compound Detection -- Inferring the Representation from Data -- Summary -- Problems -- References -- Chapter 7 Comparison (Two-Distribution) Designs for Discrimination -- Two-Alternative Forced-Choice -- Yes-No Reminder Paradigm -- Two-Alternative Forced-Choice Reminder |
| Notes |
Description based upon print version of record |
|
Essay: Psychophysical Comparisons and Comparison Designs |
| Form |
Electronic book
|
| Author |
Macmillan, Neil A
|
|
Creelman, C. Douglas
|
| ISBN |
9781000440348 |
|
1000440346 |
|
