2016
DOI: 10.1177/1073191115590852
|View full text |Cite
|
Sign up to set email alerts
|

Quantifying the Association of Self-Enhancement Bias With Self-Ratings of Personality and Life Satisfaction

Abstract: Kwan, John, Kenny, Bond, and Robins conceptualize self-enhancement as a favorable comparison of self-judgments with judgments of and by others. Applying a modified version of Kwan et al.'s approach to behavior observation data, we show that the resulting measure of self-enhancement bias is highly reliable, predicts self-ratings of intelligence as well as does actual intelligence, interacts with item desirability in predicting responses to questionnaire items, and also predicts general life satisfaction. Consis… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
41
1

Year Published

2017
2017
2021
2021

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 36 publications
(42 citation statements)
references
References 73 publications
0
41
1
Order By: Relevance
“…If a residual score R S is correlated with simple S judgments, so it is correlated with S after correction for two, or more, other variables. Indeed, in their Table 2, Leising et al (2016) report this extreme dependency (r = .92), raising the question once again of how much has been gained by controlling for multiple variables. Our own data show that over a total of 1,779 cases, simple self-judgments, S, were correlated with the residuals after removing variance shared with judgments of others, O, and test scores, T, at r = .619, which was slightly lower than the correlation between S and the residuals obtained from controlling only T (r = .689).…”
Section: Multiple Correctionsmentioning
confidence: 99%
See 4 more Smart Citations
“…If a residual score R S is correlated with simple S judgments, so it is correlated with S after correction for two, or more, other variables. Indeed, in their Table 2, Leising et al (2016) report this extreme dependency (r = .92), raising the question once again of how much has been gained by controlling for multiple variables. Our own data show that over a total of 1,779 cases, simple self-judgments, S, were correlated with the residuals after removing variance shared with judgments of others, O, and test scores, T, at r = .619, which was slightly lower than the correlation between S and the residuals obtained from controlling only T (r = .689).…”
Section: Multiple Correctionsmentioning
confidence: 99%
“…Residualizing self-judgments reifies the concept of positive (and negative) bias as a trait (Krueger et al, 2013). Reflecting this line of thought, Leising et al (2016) propose that the residuals' "main advantage" is that they will "by definition, be independent of the [predictors, and that they] may thus be independently interpreted" (p. 593). In other words, there is an inferential leap from noting the independence of residuals from one predictor to assuming its independent nature from another.…”
Section: S H S T H T S H T S Tmentioning
confidence: 99%
See 3 more Smart Citations