Estimating The Impact Of Classification Error On The ' Statistical Accuracy ' Of Uniform Crime Reports

866 Words Dec 5th, 2015 4 Pages
The article I will be analyzing is called, “Estimating the Impact of Classification Error on the ‘‘Statistical Accuracy’’ of Uniform Crime Reports” By James J. Nolan, Stephen M. Haas, Jessica S. Napier. This article talks about a study the authors made for estimating classification error in police records and determining the accuracy of official crime statistics that were reported to the Uniform Crime Reports (UCR). Classification errors happen when a criminal offense is misclassified by police before being submitted into the UCR database. This article talks about a study conducted in police agencies in rural states. The study is made in a methodological approach in 3 stages, 1.) Pre-screening, 2.) Selecting and reviewing sampled records and 3.) Calculating statistical accuracy. Findings in a UCR aren’t always accurate because many aspects are more accounted for than others.
As some of us may already know, the UCR program has been a very valuable tool for police and criminologist to try and understand the nature and extent of crime in areas around the nation. The UCR report is not measured by sample but provides a full accounting of crimes that are only recorded by police. In the book,” Research methods for criminal justice and criminology.” By Michael G. Maxfield and Earl R. Babbie, does talk about how police based crime measures can obtain errors for the simple fact that not all crimes are known by the police. Their best bet in measuring the most accurate data is…

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