2003
DOI: 10.1023/b:lahu.0000004892.94380.88
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The Misquantification of Probative Value.

Abstract: D. Davis and W. C. Follette (2002) purport to show that when "the base rate" for a crime is low, the probative value of "characteristics known to be strongly associated with the crime . . . will be virtually nil." Their analysis rests on the choice of an arbitrary and inapposite measure of the probative value of evidence. When a more suitable metric is used (e.g., a likelihood ratio), it becomes clear that evidence they would dismiss as devoid of probative value is relevant and diagnostic.

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Cited by 31 publications
(52 citation statements)
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“…Also, ratio distributions are asymmetric with one side of the distribution stretching from 1 to infinity, whereas the other side is compressed between 0 and 1. A standard solution to these problems is to use the log of the C/F ratio rather than the C/F ratio itself (Kaye, 1986). For a correct identification rate of .4 and a false identification rate of .1, the log of the C/F ratio is 1.39.…”
Section: Probative Value Of Eyewitness Identification Evidencementioning
confidence: 99%
“…Also, ratio distributions are asymmetric with one side of the distribution stretching from 1 to infinity, whereas the other side is compressed between 0 and 1. A standard solution to these problems is to use the log of the C/F ratio rather than the C/F ratio itself (Kaye, 1986). For a correct identification rate of .4 and a false identification rate of .1, the log of the C/F ratio is 1.39.…”
Section: Probative Value Of Eyewitness Identification Evidencementioning
confidence: 99%
“…For example, if the correct identification rate is .6 and the false identification rate is .1, the ratio is 6, meaning that a correct identification is 6 times more likely than a false identification (assuming equal numbers of guilty-suspect and innocent-suspect lineups). Despite its longevity as the accuracy measure of choice, researchers and legal scholars have long been aware of its statistical and interpretive limitations (Kaye, 1986). These problems have been most clearly articulated in the recent work of Wixted and Mickes (2012); Gronlund, Wixted, and Mickes (2014);and Clark (2012).…”
Section: Accuracy Of Eyewitness Identification Proceduresmentioning
confidence: 99%
“…NRC studies of forensic science issues have consistently advocated a likelihood ratio interpretation of relevance 12,28 . In this explicitly probabilistic framework, the amount of support that a piece of scientific evidence lends to a hypothesis in question is quantifiable in terms of the probabilities that the evidence would be observed if the hypothesis were true or false 29,30 . Let H be the hypothesis in question, and E be the evidence.…”
Section: Relevance and Admissibility Of Scientific Evidencementioning
confidence: 99%