A longitudinal analysis of factors associated with reporting violent crimes to the police

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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...

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Detalles Bibliográficos
Autores principales: Conaway, Mark R. (Autor) ; Lohr, Sharon L. 1960- (Autor)
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 1994
En: Journal of quantitative criminology
Año: 1994, Volumen: 10, Número: 1, Páginas: 23-39
Acceso en línea: Volltext (lizenzpflichtig)
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Palabras clave:
time-series models
Generalized estimating equations
Longitudinal Data
Descripción
Sumario: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.
ISSN:1573-7799
DOI:10.1007/BF02221007