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NCJRS Abstract


The document referenced below is part of the NCJRS Library collection.
To conduct further searches of the collection, visit the NCJRS Abstracts Database.

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NCJ Number: NCJ 235152   Add to Shopping cart   Find in a Library
Title: Comparison of Imputation Methodologies in the Offenses-Known Uniform Crime Reports
Author(s): Joseph R. Targonski
Date Published: 2011
Page Count: 148
Sponsoring Agency: NLECTC Small, Rural, Tribal and Border Regional Ctr
United States
Grant Number: 2004-IJ-CX-0006
Sale Source: NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States
Document: PDF 
Agency Summary: Agency Summary 
Type: Studies/research reports
Language: English
Country: United States
Annotation: The purpose of this study was to reexamine and recode missing data in the Uniform Crime Reports (UCR) for the years 1977-2000 for all police agencies in the United States. The study found that there are more missing data than identified by the FBI’s quality control.
Abstract: The purpose of this study was to reexamine and recode missing data in the Uniform Crime Reports (UCR) for the years 1977-2000 for all police agencies in the United States. With the newly cleaned dataset, a clearer picture of the UCR error structure would emerge and patterns of missing data could more accurately be described. The study found that there are more missing data than identified by the FBI’s quality control. One of the most widely used and important sources of crime data for criminologists and criminal justice policy stakeholders is the Offenses-Known UCR. However, it comes with many limitations, including missing data from non-compliant police agencies. The missing data are adjusted for by imputing data based on a cross-sectional methodology to maintain comparable trending analysis. The next phase of the project was to create a dataset with only full reporting agencies for a 10 year period, which would be used to test the cross-sectional method against a longitudinal method. This was done by creating simulation data sets that “punched out” the real crime values, thus artificially creating missing data. Each imputation method could then be tested by comparing the imputed value to the actual value. The overall results showed that in most circumstances, the longitudinal method was more accurate at estimating the missing crime data points.
Main Term(s): FBI Uniform Crime Reports
Index Term(s): Unreported crimes ; Uniform crime reporting ; Uniform crime reports ; NIJ final report
 
To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=257128

* A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's web site is provided.


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