Understanding the effect of immunity on over-dispersed criminal victimizations: zero-inflated analysis of household victimizations in the NCVS
This study aims to empirically test the immunity effect on the frequency distribution of household victimizations. To clarify the immunity effect, the statistical construction of zero-inflated models is reviewed and compared with that of non-zero-inflated models. The Benjamini and Hochberg correctio...
| Autores principales: | ; |
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| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| En: |
Crime & delinquency
Año: 2017, Volumen: 63, Número: 9, Páginas: 1116-1145 |
| Acceso en línea: |
Volltext (Resolving-System) |
| Journals Online & Print: | Gargar...
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| Verificar disponibilidad: | HBZ Gateway |
| Palabras clave: |
MARC
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| 100 | 1 | |a Seong-min, Park |4 aut | |
| 245 | 1 | 0 | |a Understanding the effect of immunity on over-dispersed criminal victimizations |b zero-inflated analysis of household victimizations in the NCVS |c Seong-min Park, Bonnie S. Fisher |
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| 520 | |a This study aims to empirically test the immunity effect on the frequency distribution of household victimizations. To clarify the immunity effect, the statistical construction of zero-inflated models is reviewed and compared with that of non-zero-inflated models. The Benjamini and Hochberg correction is used to address the limitation of p values in multiple testing. Compared with the findings from the non-zero-inflated model, two sets of coefficients from the zero-inflated model reveal that there exist more complex and diverse statuses in the process of household victimization than predicted by risk heterogeneity and event dependence. With these findings, this study suggests that zero-inflated models should be introduced and compared with non-zero-inflated models for the clarification of victimization determinants. | ||
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