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The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Big-Fish--Little-Pond effect on academic self-concept: A cross-cultural (26-country) test of the negative effects of academically selective schools.

Marsh, Herbert W., Hau, Kit-Tai·2003·American Psychologist

Abstract

Academically selective schools are intended to affect academic self-concept positively, but theoretical and empirical research demonstrates that the effects are negative. The big-fish-little-pond effect (BFLPE), an application of social comparison theory to educational settings, posits that a student will have a lower academic self-concept in an academically selective school than in a nonselective school. This study, the largest cross-cultural study of the BFLPE ever undertaken, tested theoretical predictions for nationally representative samples of approximately 4,000 15-year-olds from each of 26 countries (N = 103,558) who completed the same self-concept instrument and achievement tests. Consistent with the BFLPE, the effects of school-average achievement were negative in all 26 countries (M beta = -.20, SD = .08), demonstrating the BFLPE's cross-cultural generalizability.

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Metadata

Authors
Marsh, H. W., & Hau, K.-T.
Venue
American Psychologist
Published
2003
Volume
58
Issue
5
Pages
364-376
ISSN
  • 0003-066X (ISSN-L)
  • 1935-990X
OpenAlex
W2053043398
Cited by
717
References
60
FWCI
24.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Big-Fish--Little-Pond effect on academic self-concept: A cross-cultural (26-country) test of the negative effects of academically selective schools. https://app.cochat.ai/papers/10.1037/0003-066x.58.5.364
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Marsh, H. W., & Hau, K.-T. (2003). Big-Fish--Little-Pond effect on academic self-concept: A cross-cultural (26-country) test of the negative effects of academically selective schools. American Psychologist. https://doi.org/10.1037/0003-066x.58.5.364

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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.