Translating research into evidence-based practice in juvenile justice: brand-name programs, meta-analysis, and key issues
Objectives To investigate the utility of two main approaches for translating research into evidence-based practice in juvenile justice: (a) brand-name programs that are identified by lists of various expert groups and come with implementation and quality assurance packages offered by program develop...
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Veröffentlicht in: | Journal of experimental criminology 2014-06, Vol.10 (2), p.207-225 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Objectives
To investigate the utility of two main approaches for translating research into evidence-based practice in juvenile justice: (a) brand-name programs that are identified by lists of various expert groups and come with implementation and quality assurance packages offered by program developers; and (b) results of large-scale meta-analyses that offer a number of generalized strategies (or generics) for improving existing programs.
Methods
Informed by prospect theory, a first-stage analytic decision-tree model was developed that included three comparable evidence-based programs (two brand names and one generic). Implementation success was a key factor, and analyses were conducted under two conditions.
Results
Under the first condition, where brand-name programs have a large advantage in implementation success over generic programs, it was found that the brand-name programs had the highest expected values. Under the second condition, which considered the role of Lipsey et al.’s (
2010
) Standardized Program Evaluation Protocol, it was found that all three programs produced highly favorable expected values.
Conclusions
Brand-name programs and meta-analyses represent two rigorous and transparent approaches for advancing evidence-based practice in juvenile justice. State governments should consider the merits of both approaches through a decision-tree model, paying particular attention to implementation success as well as financial costs and benefits derived from rigorous cost–benefit analysis. |
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ISSN: | 1573-3750 1572-8315 |
DOI: | 10.1007/s11292-013-9182-3 |