The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Contextualism and the Development of Effective Prevention Practices
Abstract
Widespread and effective implementation of research-based prevention practices will be facilitated by the explicit adoption of a functional contextualist framework for prevention research. Such a framework has as its central goal predicting and influencing behavior and cultural practices. Research within this framework is evaluated in terms of its ability to contribute to that goal. As a result, it contributes directly to the ultimate goals of prevention science-affecting the incidence and prevalence of problems in populations. The approach contrasts with the mechanist framework, which is implicit in much behavioral science research. The mechanist framework has as its truth criterion the predictive verification of models of the interrelationships among variables. Such models can-but need not-identify manipulable variables that can be exploited to affect problems of interest. Such models require the inclusion of multiple cases for testing and this requirement may impede the tendency of scientists to work with a single school or community. Functional contextualism is suited to the study of the individual case. It provides a framework within which researchers can more readily collaborate with practitioners in the development and further evaluation of practices within the settings where practitioners will ultimately use those practices.
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Prevention efforts can be enhanced by focusing on contextual factors that influence behavioral outcomes and provider practices.
“Prevention efforts can be enhanced by focusing on contextual factors that influence behavioral outcomes and provider practices (Biglan 2004).”
From Intervening at the Setting Level to Prevent Behavioral Incidents in Residential Child Care: Efficacy of the CARE Program Model (2016) · cites this paper as Biglan 2004
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Cites
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“However, identifying such variables is not the central focus of mechanism and models often do not include variables that are directly manipulable (Biglan & Hayes, 1996).”
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Research works printed but not linked: 28
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Cited by
Sorted by citations
Izzo, C. V., Smith, E. G., Holden, M. J., Norton, C. I., Nunno, M. A., & Sellers, D. E. (2016) · Prevention Science · doi:10.1007/s11121-016-0649-0 · Cited by 56
Metadata
- Authors
- Biglan, A.
- Affiliations
- Oregon Research Institute (US)
- Corresponding author
- Biglan, Anthony
- ORCID
- Biglan, Anthony
- Venue
- Prevention Science
- Published
- 2004-03
- Volume
- 5
- Issue
- 1
- Pages
- 15-21
- ISSN
- 1389-4986 (ISSN-L)
- 1573-6695
- OpenAlex
- W2109007492
- Cited by
- 60
- References
- 5
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 1 · 2020: 3 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 1 · 2015: 1 · 2014: 4 · 2013: 5 · 2012: 2
- FWCI
- 7.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Prevention Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
- Social Sciences › Psychology › General Psychology › Academic and Historical Perspectives in Psychology
- Keywords
- functional contextualism, prevention research, behavior prediction, cultural practices, research-practice collaboration, single case study
- MeSH terms
- Preventive Health Services, School Health Services, United States, Program Development, Models, Organizational
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