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On Setting Response Criteria for Calibrated Subjective Probability Estimates

โœ Scribed by Hongbin Gu; Thomas S. Wallsten


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
145 KB
Volume
45
Category
Article
ISSN
0022-2496

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โœฆ Synopsis


Framing the issue of subjective probability calibration in signal-detectiontheory terms, this paper first proves a theorem regarding the placement of well-calibrated response criteria and then develops an algorithm guaranteed to find such criteria, should they exist. Application of this algorithm to tasks varying in difficulty and number of response categories shows that perfect calibration is easiest to attain under median difficulty levels (d$r1.4) and is practically or theoretically impossible to attain when the task is either very hard (d $r0.5) or very easy (d$r10). Implications for calibration research, including the hard easy effect, are discussed.


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