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dc.contributor.authorNivette, Amy
dc.date.accessioned2018-12-07T01:44:32Z
dc.date.available2018-12-07T01:44:32Z
dc.date.issued2011
dc.identifier.issn1088-7679
dc.identifier.doi10.1177/1088767911406397
dc.identifier.urihttp://hdl.handle.net/10072/172573
dc.description.abstractCross-national research has increased in the past few decades, resulting in a large body of empirical research. In particular, cross-national studies are often limited in data sources, which restrict variable selection to debatable proxy indicators. This study therefore uses meta-analytic techniques to examine major cross-national predictors of homicide to determine strengths and weaknesses in theory and design. The findings indicate several critical limitations to cross-national research, including biased sample composition, a lack of theoretical clarity in predictor operationalizations, and an overwhelming reliance on cross-sectional design. The predictors that showed the strongest mean effects were Latin American regional dummy variables, income inequality indicators and the Decommodification Index. Conversely, static population indicators, democracy indices, and measures of economic development had the weakest effects on homicide.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSage Publication Ltd
dc.relation.ispartofpagefrom103
dc.relation.ispartofpageto131
dc.relation.ispartofissue2
dc.relation.ispartofjournalHomicide Studies
dc.relation.ispartofvolume15
dc.subject.fieldofresearchCriminology not elsewhere classified
dc.subject.fieldofresearchCriminology
dc.subject.fieldofresearchLaw
dc.subject.fieldofresearchcode160299
dc.subject.fieldofresearchcode1602
dc.subject.fieldofresearchcode1801
dc.titleCross-National Predictors of Crime: A Meta-Analysis
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorNivette, Amy


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