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NIBRS Data Available for Secondary Analysis

dc.contributor.authorZelenock, Thomas J.en_US
dc.contributor.authorDunn, Christopher S.en_US
dc.date.accessioned2006-09-11T15:41:05Z
dc.date.available2006-09-11T15:41:05Z
dc.date.issued1999-06en_US
dc.identifier.citationDunn, Christopher S.; Zelenock, Thomas J.; (1999). "NIBRS Data Available for Secondary Analysis." Journal of Quantitative Criminology 15(2): 239-248. <http://hdl.handle.net/2027.42/45110>en_US
dc.identifier.issn0748-4518en_US
dc.identifier.issn1573-7799en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45110
dc.description.abstractThe NIBRS data program currently being implemented by the FBI and local lawenforcement agencies has by now produced sufficient data for archiving anddistribution. Although not representative of crime in the United States, existing NIBRS data can be used to investigate the nature of crimesknown to the police compared to the traditional UCR data. The Bureau ofJustice Statistics has requested the National Archive of Criminal JusticeData to store and make NIBRS data available to interested users. The datafrom 1996 will shortly be available from the NACJD web site. The 1996 datacontain almost 6.5 million records and the FBI's full file includes about 361 Mbytes of data. The data have been disaggregated from the FBI's complex single file into 11 segment levels or record types. This makes theindividual record types easier and faster to analyze than using the fullfile, which more closely resembles a relational database than a hierarchicalfile. However, splitting apart the record types requires that specialprocedures be used to merge files of different record types, which would benecessary if a user were interested in analyzing variables appearing in morethan one record type (e.g., comparing offender and victim ages). These procedures are described, and a test comparing the time to run a simple frequencycount using the full file against the merged files shows that using themerged files is considerably more efficient. Also discussed are some futuredevelopments to facilitate the analysis of NIBRS data.en_US
dc.format.extent102608 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Kluwer Academic/Plenum Publishers ; Springer Science+Business Mediaen_US
dc.subject.otherSecondary Analysisen_US
dc.subject.otherUCRen_US
dc.subject.otherSociologyen_US
dc.subject.otherSocial Sciences, Generalen_US
dc.subject.otherStatistics, Generalen_US
dc.subject.otherCriminologyen_US
dc.subject.otherMethodology of the Social Sciencesen_US
dc.subject.otherNIBRSen_US
dc.subject.otherCrime Statisticsen_US
dc.subject.otherArchiveen_US
dc.titleNIBRS Data Available for Secondary Analysisen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelLaw and Legal Studiesen_US
dc.subject.hlbtoplevelGovernment, Politics and Lawen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumNational Archive of Criminal Justice Data, Inter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumInter-university Consortium for Political and Social Research, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45110/1/10940_2004_Article_220510.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1007583007317en_US
dc.identifier.sourceJournal of Quantitative Criminologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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