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Journal of Quantitative Criminology, 26(4), 527–532. The use of official records to measure crime and delinquency. Expanding our understanding of crime: The National Academies Report on the future of crime statistics and measurement. Impact of “shall-issue” concealed handgun laws on violent crime rates: Evidence from panel data for large urban cities. What methods are most frequently used in research in criminology and criminal justice? Journal of Criminal Justice, 34(2), 147–152. The reliability of police employee counts: Comparing FBI and ICMA data, 1954–2008. Library of congress Washington DC congressional research service. How crime in the United States is measured. Digital analysis of crime statistics: Does crime conform to benford’s law? Journal of Quantitative Criminology, 26(3), 333–349. Uniform crime reporting program: National incident-based reporting system. Justice Quarterly, 33(5), 811–835.įederal Bureau of Investigation. Police manipulations of crime reporting: Insiders’ revelations.
Reported burglary lohrville wi 2006 serial#
Testing for serial correlation in linear panel-data models. Journal of Empirical Legal Studies, 16(2), 198–247.ĭrukker, D. Right-to-Carry Laws and Violent Crime: A Comprehensive Assessment Using Panel Data and a State-Level Synthetic Control Analysis. American Behavioral Scientist, 51(2), 213–231.ĭonohue, J. Bias-crime reporting: Organizational responses to ambiguity, uncertainty, and infrequency in eight police departments. W., McDevitt, J., Farrell, A., & Nolan, J. Window on Washington: True crime stories? Accounting for differences in our national crime indicators. Journal of Research in Crime and Delinquency, 6(1), 71–77.Ĭork, D., Cohen, M., Rand, M. On the validity of official statistics: A comparative study of white, black, and Japanese high-school boys. Imputation methods make crime studies suspect: Detecting biases via regression discontinuity. Trend and deviation in crime rates: Comparison of UCR and NCS data for burglary and robbery. Justice Research and Policy, 16(2), 185–194.īlumstein, A., Cohen, J., & Rosenfeld, R. Considerations and cautions regarding NIBRS data: A view from the field. Journal of Quantitative Criminology, 32(1), 61–87.īibel, D. Telling a similar story twice? NCVS/UCR convergence in serious violent crime rates in rural, suburban, and urban places (1973–2010). Journal of Contemporary Criminal Justice, 24(1), 18–31.īerg, M. The role of state programs in NIBRS data quality: A case study of two states.
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Convergence revisited: A multi-definition, multi-method analysis of the UCR and the NCVS crime series (1973–2008). Federal Bureau of Investigation, Criminal Justice Information Services Division.Īnsari, S., & He, N. Methods of data quality control for uniform crime reporting programs. These results reveal that inconsistencies exist between two official data sources which have the same origin.Īkiyama, Y., & Propheter, S. Results from OLS regressions suggest certain State-level factors significantly predict the observed differences between State and UCR reported Part I offenses.
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Frequency and percentage differences were treated as dependent variables in multivariate models. Percentage differences further indicated that the magnitudes of differences were substantively meaningful. Pairwise correlations indicated strong linear associations and convergence between State and UCR Part I offenses Nationally, but convergence diminished when assessing individual States. Paired samples t-tests revealed significant differences for specific Part I offense counts as reported by individual States and the UCR. State’s Part I offense counts to the FBI’s UCR’s Part I offense counts for the years 2000–2018. Less research has tested whether similar inconsistencies exist between UCR and State annual crime reports. Prior research suggests there are inconsistencies between the UCR and other National-level crime data sources.