A longitudinal analysis of factors associated with reporting violent crimes to the police
The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal mode...
Autores principales: | ; |
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Tipo de documento: | Electrónico Artículo |
Lenguaje: | Inglés |
Publicado: |
1994
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En: |
Journal of quantitative criminology
Año: 1994, Volumen: 10, Número: 1, Páginas: 23-39 |
Acceso en línea: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
Journals Online & Print: | |
Verificar disponibilidad: | HBZ Gateway |
Palabras clave: |
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100 | 1 | |a Conaway, Mark R. |e VerfasserIn |4 aut | |
245 | 1 | 2 | |a A longitudinal analysis of factors associated with reporting violent crimes to the police |
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520 | |a The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal models are fit to NCVS data to predict the likelihood of reporting a violent crime to the police based on characteristics of the victim and the incident and based on previous victimization experiences. In both models, it is found that higher reporting rates are associated with positive results accruing from reporting previous victimization to the police. | ||
650 | 4 | |a time-series models | |
650 | 4 | |a Generalized estimating equations | |
650 | 4 | |a Longitudinal Data | |
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