2008
DOI: 10.1037/0096-3445.137.1.182
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Direct-comparison judgments: When and why above- and below-average effects reverse.

Abstract: Above-average and below-average effects appear to be common and consistent across a variety of judgment domains. For example, several studies show that individual items from a high- (low-) quality set tend to be rated as better (worse) than the other items in the set (e.g., E. E. Giladi & Y. Klar, 2002). Experiments in this article demonstrate reversals of these effects. A novel account is supported, which describes how the timing of the denotation of the to-be-judged item influences attention and ultimately a… Show more

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Cited by 22 publications
(47 citation statements)
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References 72 publications
(125 reference statements)
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“…This motivation clearly plays a role (e.g., Alicke & Govorun, 2005), but there are several reasons to question whether it is a necessary condition (see Chambers & Windschitl, 2004). As noted above, AAEs are observed when other persons, such as acquaintances (Klar, 2002), serve as comparison targets, but also when nonsocial objects (e.g., Giladi & Klar, 2002;Windschitl, Conybeare, & Krizan, 2008) are targets. In addition, people sometimes report that they are below-average on certain desirable attributes (e.g., Kruger, 1999).…”
Section: Sources Of Comparative Biasmentioning
confidence: 94%
“…This motivation clearly plays a role (e.g., Alicke & Govorun, 2005), but there are several reasons to question whether it is a necessary condition (see Chambers & Windschitl, 2004). As noted above, AAEs are observed when other persons, such as acquaintances (Klar, 2002), serve as comparison targets, but also when nonsocial objects (e.g., Giladi & Klar, 2002;Windschitl, Conybeare, & Krizan, 2008) are targets. In addition, people sometimes report that they are below-average on certain desirable attributes (e.g., Kruger, 1999).…”
Section: Sources Of Comparative Biasmentioning
confidence: 94%
“…However, when the evidential support for the two hypotheses is strong, the relevant sum might systematically exceed 1.0. These instances of noncomplementarity (and closely related findings, e.g., see Eiser, Pahl, & Prins, 2001;Klar & Giladi, 1997;Lehman, Krosnick, West, & Li, 1992;Moore & Kim, 2003;Windschitl, Conybeare, & Krizan, 2008;Windschitl et al, 2003) can be generally attributed to focalism: a tendency to base a probability judgment primarily on the evidence directly relevant to the focal hypothesis (i.e., the hypothesis for which a probability estimate is sought) rather than the alternative hypothesis. There are actually several versions of focalism accounts (see Chambers & Windschitl, 2004), but each one ultimately stipulates that probability judgments will reflect assessments of evidence for the focal hypothesis more so than assessments of evidence for the alternative hypothesis.…”
Section: Goal 1: a Formalized Model Of Egocentrism In Optimismmentioning
confidence: 99%
“…K would be a default or general expectancy for the types of items being considered. EST would predict that individual focal items drawn from an attractive or otherwise superior set of items would tend to be rated as comparatively better than the other items in the set because s(A) would be greater than K. Focal items from an inferior set would be rated as comparatively worse because s(A) < K (see e.g., Giladi & Klar, 2002;Suls et al, 2007;Windschitl et al, 2008).…”
Section: Est As An Integrative Frameworkmentioning
confidence: 99%
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