The DOI matches its Crossref record; 177 of the 177 references it cites were found in a registry or an index.
Do Self-Concept Interventions Make a Difference? A Synergistic Blend of Construct Validation and Meta-Analysis
Abstract
Traditional reviews and previous meta-analyses of self-concept interventions have underestimated effect sizes by using an implicitly unidimensional perspective that emphasizes global self-concept. In contrast, this research employed a synergistic blend of meta-analysis and multidimensional construct validation to evaluate the impact of self-concept interventions for children in 145 primary studies (200 interventions). Overall, interventions were significantly effective (d = .51, 460 effect sizes). However, in support of the multidimensional perspective, interventions targeting a specific self-concept domain and subsequently measuring that domain were much more effective (d = 1.16), suggesting sole reliance on global self-concept is inappropriate for evaluating interventions designed to enhance a specific component of self-concept. Other moderators (e.g., feedback, experimental design, target population groups) also influenced effect sizes in ways useful to the design of new interventions. Methodologically, this research also demonstrates the use of both fixed and random effects models and incorporation of multiple outcomes from the same study.
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Cites
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Cited by
Marsh, H. W., & Craven, R. G. (2006) · Perspectives on Psychological Science · doi:10.1111/j.1745-6916.2006.00010.x · Cited by 1,368
Self-citationLife-span development of self-esteem and its effects on important life outcomes.
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Accuracy of teachers' judgments of students' academic achievement: A meta-analysis
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Understanding the Link Between Low Self-Esteem and Depression
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Metadata
- Authors
- O'Mara, A. J., Marsh, H. W., Craven, R. G., & Debus, R. L.
- Venue
- Educational Psychologist
- Publisher
- Informa UK Limited
- Published
- 2006-09
- Volume
- 41
- Issue
- 3
- Pages
- 181-206
- ISSN
- 0046-1520 (ISSN-L)
- 1532-6985
- OpenAlex
- W2049268486
- Cited by
- 466
- References
- 177
- FWCI
- 16.53
- Type
- journal article
- Language
- en
- Open access
- closed
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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.