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The Yes-No Experiment: Response Bias CHAPTER 2, Detection Theory: A User’s Guide
Definition ,[object Object],[object Object]
Characteristic 1 ,[object Object],[object Object]
Example 2a ,[object Object],[object Object],d' are approximately 1.0 in both conditions. The "yes" response is more frequent in the Hypnotized condition
Example 2b ,[object Object],[object Object],d' increases Is there a change in response bias?
Characteristic 2 ,[object Object],[object Object],[object Object]
Criterion location (c) ,[object Object],[object Object],[object Object]
 
 
Mapping between H-F and d'-c ,[object Object],[object Object],[object Object],[object Object]
Relative criterion location (c') ,[object Object],[object Object]
Likelihood ratio (β)
β = slope of ROC
 
Isobias curve ,[object Object],[object Object]
 
 
 
 
Comparing the bias measures ,[object Object],[object Object],[object Object]
Three standards ,[object Object],[object Object],[object Object],[object Object]
Empirical isobias curves ,[object Object],[object Object]
c isobias curve ,[object Object],[object Object],[object Object],[object Object]
β isobias curve ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
Monotonicity of isobias curves ,[object Object],[object Object],[object Object],[object Object]
Independence of bias from sensitivity ,[object Object],[object Object],[object Object],[object Object]
Optimal decision rules ,[object Object],[object Object],[object Object],[object Object],Set a criterion at the importance ratio Neyman-Pearson objective Obtain an H as high as possible while keeping F below a predertermined level
On human decision making ,[object Object],[object Object],[object Object]
Should we always encourage an "unbiased" decision? ,[object Object],[object Object],[object Object],[object Object],[object Object]

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DETECTION THEORY CHAPTER 2