Analyzing block randomized studies: the example of the Jersey City drug market analysis experiment
While block randomized designs have become more common in place-based policing studies, there has been relatively little discussion of the assumptions employed and their implications for statistical analysis. Our paper seeks to illustrate these assumptions, and controversy regarding statistical appr...
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Beteiligte: | ; |
Medienart: | Elektronisch Aufsatz |
Sprache: | Englisch |
Veröffentlicht: |
2020
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In: |
Journal of experimental criminology
Jahr: 2020, Band: 16, Heft: 2, Seiten: 265-287 |
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Volltext (lizenzpflichtig) |
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Verfügbarkeit prüfen: | HBZ Gateway |
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Zusammenfassung: | While block randomized designs have become more common in place-based policing studies, there has been relatively little discussion of the assumptions employed and their implications for statistical analysis. Our paper seeks to illustrate these assumptions, and controversy regarding statistical approaches, in the context of one of the first block randomized studies in criminal justice—the Jersey City Drug Market Analysis Project (DMAP). |
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ISSN: | 1572-8315 |
DOI: | 10.1007/s11292-018-9349-z |