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Positive Youth Development in the United States: Research Findings on Evaluations of Positive Youth Development Programs
Abstract
This article summarizes a much lengthier one that appeared in Prevention and Treatment. The earlier article grew out of a project initiated by the Department of Health and Human Services Office of the Assistant Secretary for Planning and Evaluation. The Positive Youth Development Evaluation project described why policy makers, practitioners, and prevention scientists advocated a shift in approach for how youth issues are addressed in this country. The Positive Youth Development Evaluation project sought to define how youth development programs have been defined in the literature and then to locate, through a structured search, strong evaluations of these programs and summarize the outcomes of these evaluations. In the current article, we explain why prevention has shifted from a single problem focus to a focus on factors that affect both positive and problem youth development, describe what is meant by positive youth development, and summarize what we know about the effectiveness of positive youth development programs.
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Metadata
- Authors
- Catalano, R. F., Berglund, M. L., Ryan, J. A. M., Lonczak, H. S., & Hawkins, J. D.
- Venue
- The ANNALS of the American Academy of Political and Social Science
- Publisher
- SAGE Publications
- Published
- 2004-01
- Volume
- 591
- Issue
- 1
- Pages
- 98-124
- ISSN
- 0002-7162 (ISSN-L)
- 1552-3349
- OpenAlex
- W2166969496
- Cited by
- 1,924
- References
- 11
- FWCI
- 128.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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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.