Personal contact, individuation, and the better-than-average effect.
Abstract
Research in which people compare themselves with an average peer has consistently shown that people evaluate themselves more favorably than they evaluate others. Seven studies were conducted to demonstrate that the magnitude of this better-than-average effect depends on the level of abstraction in the comparison. These studies showed that people were less biased when they compared themselves with an individuated target than when they compared themselves with a nonindividuated target, namely, the average college student. The better-than-average effect was reduced more when the observer had personal contact with the comparison target than when no personal contact was established. Differences in the magnitude of the better-than-average effect could not be attributed to the contemporaneous nature of the target's presentation, communication from the target, perceptual vividness, implied evaluation, or perceptions of similarity
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Cited by (38)
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- Representativeness revisited: Attribute substitution in intuitive judgment.Kahneman, Daniel, Frederick, Shane · 2002 · Heuristics and Biases
- Who makes acquisitions? CEO overconfidence and the market's reaction☆MALMENDIER, U, TATE, G · 2008 · Journal of Financial Economics
- The Affect HeuristicSlovic, Paul, Finucane, Melissa, Peters, Ellen, MacGregor, Donald G. · 2002 · Heuristics and Biases
- The bias blind spot: perceptions of bias in self versus othersPronin, Emily, Lin, Daniel Y., Ross, Lee · 2002 · Personality and Social Psychology Bulletin
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Personal contact, individuation, and the better-than-average effect. https://app.cochat.ai/papers/10.1037//0022-3514.68.5.804
- The paper
- Alicke, M. D., Klotz, M. L., Breitenbecher, D. L., & Yurak, T. J. (1995). Personal contact, individuation, and the better-than-average effect. Journal of Personality and Social Psychology. https://doi.org/10.1037//0022-3514.68.5.804
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.