skip navigation

PUBLICATIONS

Register for Latest Research

Stay Informed
Register with NCJRS to receive NCJRS's biweekly e-newsletter JUSTINFO and additional periodic emails from NCJRS and the NCJRS federal sponsors that highlight the latest research published or sponsored by the Office of Justice Programs.

NCJRS Abstract

The document referenced below is part of the NCJRS Virtual Library collection. To conduct further searches of the collection, visit the Virtual Library. See the Obtain Documents page for direction on how to access resources online, via mail, through interlibrary loans, or in a local library.

 

NCJ Number: 148022 Find in a Library
Title: LONGITUDINAL ANALYSIS OF FACTORS ASSOCIATED WITH REPORTING VIOLENT CRIMES TO THE POLICE
Journal: Journal of Quantitative Criminology  Volume:10  Issue:1  Dated:(March 1994)  Pages:23-39
Author(s): M R Conaway; S L Lohr
Date Published: 1994
Page Count: 17
Type: Research (Applied/Empirical)
Format: Article
Language: English
Country: United States of America
Annotation: This article discusses the use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS).
Abstract: These 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, higher reporting rates were associated with positive results accruing from reporting previous victimization to the police. 6 tables and 24 references
Main Term(s): Statistics
Index Term(s): Citizen crime reporting; Longitudinal studies; Police-victim interaction; Time series; Victimization surveys
To cite this abstract, use the following link:
http://www.ncjrs.gov/App/publications/abstract.aspx?ID=148022

*A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's website is provided. Tell us how you use the NCJRS Library and Abstracts Database - send us your feedback.