Selection and Influence: A Meta-Analysis of the Association Between Peer and Personal Offending

Whether people are affected by the criminal behavior of peers (the "influence" perspective) or simply prefer to associate with others who are similar in their offending (the "selection" perspective) is a long-standing criminological debate. The relatively recent development of st...

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Bibliographische Detailangaben
1. VerfasserIn: Gallupe, Owen (VerfasserIn)
Beteiligte: Brown, Sarah ; McLevey, John
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2019
In: Journal of quantitative criminology
Jahr: 2019, Band: 35, Heft: 2, Seiten: 313-335
Online-Zugang: Volltext (Resolving-System)
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Zusammenfassung:Whether people are affected by the criminal behavior of peers (the "influence" perspective) or simply prefer to associate with others who are similar in their offending (the "selection" perspective) is a long-standing criminological debate. The relatively recent development of stochastic actor-oriented models (SAOMs—also called SIENA models) for longitudinal social network data has allowed for the examination of selection and influence effects in more comprehensive ways than was previously possible. This article reports the results of a systematic review and meta-analysis of studies that use SAOMs to test for peer selection and influence effects.
ISSN:1573-7799
DOI:10.1007/s10940-018-9384-y