RT Article
T1 Selection and Influence: A Meta-Analysis of the Association Between Peer and Personal Offending
JF Journal of quantitative criminology
VO 35
IS 2
SP 313
OP 335
A1 Gallupe, Owen
A2 Brown, Sarah
A2 McLevey, John
LA English
YR 2019
UL https://krimdok.uni-tuebingen.de/Record/1691512184
AB 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.
K1 Stochastic actor-oriented models
K1 Meta-analysis
K1 Crime
K1 Influence
K1 Selection
DO 10.1007/s10940-018-9384-y