Latent class analysis of early onset of behavior problems: relevance for predicting offending across the life-course.
Research has demonstrated the importance of early-life behavioral issues for predicting risk for offending throughout the life-course. However, there has yet to be any study that has examined how early behavior problems may cluster together and how these clusters predict offending across the life-co...
| Publicado en: | Criminal Justice Studies Vol. 33; no. 4; pp. 394 - 413 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
Dec2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=147311243&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 147311243 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 1478601X RF4 jtl: Criminal Justice Studies issn: 1478601X maglogo: Y pubinfo: dt: Dec2020 vid: 33 iid: 4 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 147311243 10.1080/1478601X.2020.1715392 ppf: 394 ppct: 19 formats: tig: atl: Latent class analysis of early onset of behavior problems: relevance for predicting offending across the life-course. aug: au: Wojciechowski, Thomas W. affil: School of Criminal Justice, Michigan State University, East Lansing, United States su: Juvenile offenders Analysis of variance Behavior sug: subj: Juvenile offenders Analysis of variance Behavior keyword: early behavior problems juvenile offenders Latent class analysis life course early behavior problems juvenile offenders Latent class analysis life course ab: Research has demonstrated the importance of early-life behavioral issues for predicting risk for offending throughout the life-course. However, there has yet to be any study that has examined how early behavior problems may cluster together and how these clusters predict offending across the life-course. Latent class analysis was used to identify behavior classes comprising the onset of the childhood behavior problems: cheating, disrupting class, being drunk/stoned, stealing, and fighting. Analysis of variance was used to identify between-class differences in risk/protective factors. Age–crime curves were identified for groups to measure offending throughout the life-course. Results indicated that a three-class model best fits the data (Low EOBP, FDC, DCSF). Groups differed in risk/protective factor profiles. Age–crime curves indicated that participants assigned to the DCSF group demonstrated more serious offending in adolescence and that the FDC and DCSF groups demonstrated more serious offending in early adulthood. Identification of individuals reporting disturbing class, fighting, and stealing in childhood may be at elevated risk for more serious offending in adolescence. This may place them at risk for encountering snares in the life-course. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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