2021
DOI: 10.1007/s11896-021-09464-9
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The Influence of Inconsistency in Eyewitness Reports, Eyewitness Age and Crime Type on Mock Juror Decision-Making

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Cited by 3 publications
(28 citation statements)
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“…Numerous models of juror decision-making have been proposed to explain how jurors reach their verdicts. Some of these models use math or probabilities to explain jurors' decisions, while others use a narrative approach (i.e., storytelling; Devine, 2012;Devine & Caughlin, 2014;Sprottwood, 2014). The Bayesian Model, for example, uses a math-based approach to predict probabilities of various verdicts from jurors' initial thoughts of guilt and updates the probability of guilt as jurors receive new evidence.…”
Section: Models Of Juror Decision-makingmentioning
confidence: 99%
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“…Numerous models of juror decision-making have been proposed to explain how jurors reach their verdicts. Some of these models use math or probabilities to explain jurors' decisions, while others use a narrative approach (i.e., storytelling; Devine, 2012;Devine & Caughlin, 2014;Sprottwood, 2014). The Bayesian Model, for example, uses a math-based approach to predict probabilities of various verdicts from jurors' initial thoughts of guilt and updates the probability of guilt as jurors receive new evidence.…”
Section: Models Of Juror Decision-makingmentioning
confidence: 99%
“…A juror will use each critical piece of evidence introduced into a case to either increase or decrease their beliefs regarding each fact in question and may update their probability of guilt based on new facts so that each fact varies between zero (i.e., proven false beyond a reasonable doubt) and one (i.e., proven true beyond a reasonable doubt). It is posited that jurors will then apply these probabilities to weigh the evidence and reach a verdict (Devine, 2012;Devine & Caughlin, 2014;Sprottwood, 2014).…”
Section: Models Of Juror Decision-makingmentioning
confidence: 99%
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