American Journal of Criminal Justice Volume: 45 Dated: 2019 Pages: 379-409
Since there is currently no guidance for best practices in deciding how many records to use in providing data for the National Incident-Based Reporting System (NIBRS), the current research addressed this gap by examining the impact of this decision on descriptive analyses and regression estimates.
In an effort to upgrade and improve criminal justice statistics, the Uniform Crime Reporting (UCR) program is currently in the process of transitioning from the Summary Reporting System (SRS) to the National Incident-Based Reporting System (NIBRS). Although this transition will increase the capacity for law enforcement agencies and analysts to make informed decisions regarding crime and policing policy, the detail of NIBRS increases analytic complexity. More specifically, NIBRS includes variables in six data segments, five of which can include multiple records per incident. As a result, analysts must decide how many records to use. The results of the current project indicate some estimates are measured accurately by using only one record, with the use of three records reducing inaccuracy; and with some exceptions, using more than three records is methodologically unnecessary. As the NIBRS data become increasingly representative and useful in the coming years, it will be important that they are used both efficiently and effectively. Taken together, this research suggests that for most analyses there is substantial consistency when using at least three records per data segment, but that there are some cases for which the number of records is consequential, and researchers should consider the methodological and theoretical implications of each strategy when choosing between them. 56 references (publisher abstract modified)
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