Tags

Type your tag names separated by a space and hit enter

The association between school exclusion, delinquency and subtypes of cyber- and F2F-victimizations: identifying and predicting risk profiles and subtypes using latent class analysis.
Child Abuse Negl. 2015 Jan; 39:109-22.CA

Abstract

This purpose of this paper is to identify risk profiles of youth who are victimized by on- and offline harassment and to explore the consequences of victimization on school outcomes. Latent class analysis is used to explore the overlap and co-occurrence of different clusters of victims and to examine the relationship between class membership and school exclusion and delinquency. Participants were a random sample of youth between the ages of 12 and 18 selected for inclusion to participate in the 2011 National Crime Victimization Survey: School Supplement. The latent class analysis resulted in four categories of victims: approximately 3.1% of students were highly victimized by both bullying and cyberbullying behaviors; 11.6% of youth were classified as being victims of relational bullying, verbal bullying and cyberbullying; a third class of students were victims of relational bullying, verbal bullying and physical bullying but were not cyberbullied (8%); the fourth and final class, characteristic of the majority of students (77.3%), was comprised of non-victims. The inclusion of covariates to the latent class model indicated that gender, grade and race were significant predictors of at least one of the four victim classes. School delinquency measures were included as distal outcomes to test for both overall and pairwise associations between classes. With one exception, the results were indicative of a significant relationship between school delinquency and the victim subtypes. Implications for these findings are discussed.

Authors+Show Affiliations

African American Studies and Criminology, Northeastern University, 200F Renaissance Park, 360 Huntington Ave., Boston, MA 02115, USA.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

25194718

Citation

Barboza, Gia Elise. "The Association Between School Exclusion, Delinquency and Subtypes of Cyber- and F2F-victimizations: Identifying and Predicting Risk Profiles and Subtypes Using Latent Class Analysis." Child Abuse & Neglect, vol. 39, 2015, pp. 109-22.
Barboza GE. The association between school exclusion, delinquency and subtypes of cyber- and F2F-victimizations: identifying and predicting risk profiles and subtypes using latent class analysis. Child Abuse Negl. 2015;39:109-22.
Barboza, G. E. (2015). The association between school exclusion, delinquency and subtypes of cyber- and F2F-victimizations: identifying and predicting risk profiles and subtypes using latent class analysis. Child Abuse & Neglect, 39, 109-22. https://doi.org/10.1016/j.chiabu.2014.08.007
Barboza GE. The Association Between School Exclusion, Delinquency and Subtypes of Cyber- and F2F-victimizations: Identifying and Predicting Risk Profiles and Subtypes Using Latent Class Analysis. Child Abuse Negl. 2015;39:109-22. PubMed PMID: 25194718.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - The association between school exclusion, delinquency and subtypes of cyber- and F2F-victimizations: identifying and predicting risk profiles and subtypes using latent class analysis. A1 - Barboza,Gia Elise, Y1 - 2014/09/05/ PY - 2014/03/01/received PY - 2014/08/06/revised PY - 2014/08/08/accepted PY - 2014/9/8/entrez PY - 2014/9/10/pubmed PY - 2015/9/12/medline KW - Academic performance KW - Aggression KW - Bullying KW - Cybervictimization KW - Latent class analysis SP - 109 EP - 22 JF - Child abuse & neglect JO - Child Abuse Negl VL - 39 N2 - This purpose of this paper is to identify risk profiles of youth who are victimized by on- and offline harassment and to explore the consequences of victimization on school outcomes. Latent class analysis is used to explore the overlap and co-occurrence of different clusters of victims and to examine the relationship between class membership and school exclusion and delinquency. Participants were a random sample of youth between the ages of 12 and 18 selected for inclusion to participate in the 2011 National Crime Victimization Survey: School Supplement. The latent class analysis resulted in four categories of victims: approximately 3.1% of students were highly victimized by both bullying and cyberbullying behaviors; 11.6% of youth were classified as being victims of relational bullying, verbal bullying and cyberbullying; a third class of students were victims of relational bullying, verbal bullying and physical bullying but were not cyberbullied (8%); the fourth and final class, characteristic of the majority of students (77.3%), was comprised of non-victims. The inclusion of covariates to the latent class model indicated that gender, grade and race were significant predictors of at least one of the four victim classes. School delinquency measures were included as distal outcomes to test for both overall and pairwise associations between classes. With one exception, the results were indicative of a significant relationship between school delinquency and the victim subtypes. Implications for these findings are discussed. SN - 1873-7757 UR - https://www.unboundmedicine.com/medline/citation/25194718/The_association_between_school_exclusion_delinquency_and_subtypes_of_cyber__and_F2F_victimizations:_identifying_and_predicting_risk_profiles_and_subtypes_using_latent_class_analysis_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0145-2134(14)00284-1 DB - PRIME DP - Unbound Medicine ER -