2019
DOI: 10.1016/j.jml.2018.10.002
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Making sense of sequential lineups: An experimental and theoretical analysis of position effects

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Cited by 25 publications
(136 citation statements)
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References 23 publications
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“…Constraining the models so that s t = s s = 1 did not significantly worsen the fit for SDT-MAX, χ 2 (1) = .28, p = .60, or SDT-SEQ, χ 2 (1) = .61, p = .43. This indicates that equal-variance models adequately capture these data, in contrast to long-standing findings of unequal target and lure distribution variance reported in the literature on basic recognition memory (Egan, 1958;Mickes et al, 2007) and in recent lineup research (Wilson et al, 2019;.…”
Section: Underlying Discriminabilitycontrasting
confidence: 62%
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“…Constraining the models so that s t = s s = 1 did not significantly worsen the fit for SDT-MAX, χ 2 (1) = .28, p = .60, or SDT-SEQ, χ 2 (1) = .61, p = .43. This indicates that equal-variance models adequately capture these data, in contrast to long-standing findings of unequal target and lure distribution variance reported in the literature on basic recognition memory (Egan, 1958;Mickes et al, 2007) and in recent lineup research (Wilson et al, 2019;.…”
Section: Underlying Discriminabilitycontrasting
confidence: 62%
“…On the other hand, it is possible that sequential presentation may induce retroactive interference through re-encoding of lineup items into memory. This would be expected to have a greater impact on items appearing later in the sequence which is suggested by the finding reported by Wilson et al (2019) that underlying discriminability may increase over the course of the sequential lineup, at least after position 1. The point is that because the two procedures have different characteristics, it is likely they induce a range of effects on memory which, in the cases we have so far examined, more or less cancel out.…”
Section: Diagnostic Feature Detection Theorymentioning
confidence: 90%
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“…Sometimes the results of an ROC analysis based on an atheoretical measure like pAUC do not agree with the results based on a theoretical measure like d' obtained by fitting a theoretical model to the same data (e.g., Kaesler et al, 2020;Rotello & Chen, 2016;Wilson et al, 2019). Therefore, we fit a signal-detection model to our data, which confirmed our pAUC findings.…”
Section: Signal Detection Modelsupporting
confidence: 49%
“…Several studies have reported position effects in sequential lineups, wherein the likelihood of a suspect being identified changes depending on where within the sequence he is placed (e.g., Carlson, Gronlund, & Clark, 2008;Clark & Davey, 2005;Horry et al, 2012;Meisters et al, 2018;Wilson, Donnelly, Christenfeld, & Wixted, 2019), although the extant literature varies in terms of whether effects are found with target-present and/or target-absent lineups, or neither (e.g., Dobolyi & Dodson, 2013;Flowe et al, 2016;Kneller, Memon, & Stevenage, 2001;Lindsay & Wells, 1985;Wells et al, 2011;Sporer, 1993). One explanation for such position effects is that the eyewitness's decision criterion may become increasingly liberal as the lineup progresses and the eyewitness begins to feel that she is running out of opportunities to make a positive identification (i.e., a dynamic-conservative shift; Goodsell, Gronlund, & Carlson, 2010;Horry et al, 2012;Meisters et al, 2018; see also Smith, Wells, Lindsay, & Myerson, 2018).…”
Section: Suspect Position Effectsmentioning
confidence: 99%