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Alternative Measures of Crime

A Statistical Evaluation

Bibliographic Data

ID2276240
AuthorsLarry J Cohen (0000-0003-2207-0598, University of Illinois Chicago), Larry Cohen (0000-0002-0721-8980, University of Illinois Chicago), Mark I Lichbach (University of Illinois Chicago), Mark Lichbach (0000-0002-2461-5013, University of Illinois Chicago)
Year1982
Volume23
Issue2
Pages253-266
Publication date1982-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSociological Quarterly (JOURNAL)
Journal identifiersISSN: 0038-0253 • E-ISSN: 1533-8525
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1111/j.1533-8525.1982.tb01011.x
OpenAlexW2104929635
LanguageEN
Citations received13
References cited13

The purpose of this paper is to explore two alternative measures of “crime”: official incidence reports, compiled and published as the Uniform Crime Reports (UCR), and citizen-defined victimizations, compiled and published as the National Crime Surveys (NCS). Six categories of crime are examined (auto theft, burglary, larceny, robbery, rape, and assault) for thirty-nine cities, and two categories (auto theft and robbery) are analyzed for ten other cities. Previous studies have approached the problem of comparing UCR and NCS measurements of crime with a “validity and convergence” perspective. The regression model approach we adopt, which expands on those studies, assesses the extent to which these alternative measurements of crime are equivalent, comparable or divergent. We regress victimizations on incidents and then check the goodness-of-fit of our model with three tests: (1) an examination of victimization/incidence ratios for all cities; (2) a determination if confidence intervals placed about victimization estimates included incidents; and (3) a forecast of victimizations using incidents. Results indicated that, in general, the two measurements of property crimes are comparable; however, only those of auto thefts approached equivalence. On the other hand, the measurements of personal crimes are clearly divergent. We conclude that future research must explain why some crimes are easier to assess than others, and why some cities do so much better at assessing crime than other cities

Crime statistics · Criminology · Equivalence (formal languages) · Goodness of fit · Property crime · Statistics · Violent crime · Crime Patterns and Interventions · Mathematics · Psychology · Substance Abuse Treatment and Outcomes · Traffic and Road Safety

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Unique citing works13
Citations per year0,31
Citation span1984 - 2007 (24)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 11

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