2002
DOI: 10.1037//0022-3514.82.2.180-188
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Unskilled, unaware, or both? The better-than-average heuristic and statistical regression predict errors in estimates of own performance.

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Cited by 18 publications
(11 citation statements)
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“…This study also documented that those surgical trainees who were in the lowest-performing quartile often overestimated their competency-specific performance irrespective of rater group, while the highest-performing residents tended to underestimate their skills. Superficially, these findings may appear to be a regression to the mean performance, 13 but the magnitude of the differences between self-other is greatest in the lowest-performing quar-tiles and for the behavioral skills, especially with nurse raters. In previous studies of the reliability of each rating group, nurses were the most consistent raters but used the rating scale more widely to differentiate high-and low-performing residents.…”
Section: Commentmentioning
confidence: 95%
See 1 more Smart Citation
“…This study also documented that those surgical trainees who were in the lowest-performing quartile often overestimated their competency-specific performance irrespective of rater group, while the highest-performing residents tended to underestimate their skills. Superficially, these findings may appear to be a regression to the mean performance, 13 but the magnitude of the differences between self-other is greatest in the lowest-performing quar-tiles and for the behavioral skills, especially with nurse raters. In previous studies of the reliability of each rating group, nurses were the most consistent raters but used the rating scale more widely to differentiate high-and low-performing residents.…”
Section: Commentmentioning
confidence: 95%
“…Moreover, they demonstrated that high performers slightly underestimate their performance. Krueger and Mueller, 13 on the other hand, attribute their finding of "being unskilled and unaware" to a statistical regression to the mean and relate it to a "better than average" phenomenon. For example, when college professors were asked whether they performed "above-average work," 94% of college professors indicated they were in this category, a figure clearly mathematically impossible 14 but perceptually possible.…”
Section: Conceptual Framework and Backgroundmentioning
confidence: 99%
“…These investors may therefore choose to sell the stock to divest of an unwanted investment (arguably aiding in disciplining the market price), or, believing that they now have an information advantage over some number of less sophisticated investors, to actively attempt to “game” the market. For example, there is a significant literature in psychology concerning how individuals who are the least skilled at a particular task (in this context, unsophisticated investors sifting through accounting information to reveal earnings management) are especially prone to overestimate their ability to do so relative to other individuals (e.g., Kruger and Dunning [1999]). 6 Under these conditions, the naïveté of the unsophisticated investors does not lie in being uninformed about the earnings management, but rather in their overconfidence in thinking that they have an informational advantage compared to other investors (cf., Bloomfield, Libby, and Nelson [1999]).…”
Section: Background and Hypotheses Developmentmentioning
confidence: 99%
“… This “unskilled and unaware” hypothesis has held up to empirical scrutiny under a number of studies (e.g., Krueger and Mueller [2002]), including situations in which the unskilled were given financial incentives to win or lose money based on accuracy (Williams and Gilovich [2008]). …”
mentioning
confidence: 99%
“…Described by David Dunning and Justin Kruger in 1999, it is a cognitive bias that leads people to overestimate their abilities. This lack of insight and illusory superiority can affect judgment 5 6. Furthermore, skills in one area may induce a sense of invulnerability in another, and the effect may persist despite appropriate feedback 7…”
mentioning
confidence: 99%