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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Otros Autores: | ; |
Tipo de documento: | Electrónico Artículo |
Lenguaje: | Inglés |
Publicado: |
2020
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En: |
Journal of experimental criminology
Año: 2020, Volumen: 16, Número: 2, Páginas: 265-287 |
Acceso en línea: |
Volltext (lizenzpflichtig) |
Journals Online & Print: | |
Verificar disponibilidad: | HBZ Gateway |
Palabras clave: |
Sumario: | 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 |