Latent Class Analysis for Multiple Discrete Latent Variables: A Study on the Association Between Violent Behavior and Drug-Using Behaviors
DC Field | Value | Language |
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dc.contributor.author | Jeon, Saebom | - |
dc.contributor.author | Lee, Jungwun | - |
dc.contributor.author | Anthony, James C. | - |
dc.contributor.author | Chung, Hwan | - |
dc.date.accessioned | 2021-09-03T15:30:57Z | - |
dc.date.available | 2021-09-03T15:30:57Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1070-5511 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/86485 | - |
dc.description.abstract | This article proposes a new type of latent class analysis, joint latent class analysis (JLCA), which provides a set of principles for the systematic identification of the subsets of joint patterns for multiple discrete latent variables. Inferences about the parameters are obtained by a hybrid method of expectation-maximization and Newton-Raphson algorithms. We apply JLCA in an investigation of adolescent violent behavior and drug-using behaviors. The data are from 4,957 male high-school students who participated in the Youth Risk Behavior Surveillance System in 2015. The JLCA approach identifies the different joint patterns of 4 latent variables: violent behavior, alcohol consumption, tobacco cigarette smoking, and other drug use. The JLCA uncovers 4 common violent behaviors and 3 representative behavioral patterns for each of 3 other latent variables. In addition, the JLCA supports 3 common joint classes, representing the most probable simultaneous patterns for being violent and being a drug user among adolescent males. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD | - |
dc.subject | SUBSTANCE USE | - |
dc.subject | DATING VIOLENCE | - |
dc.subject | ALCOHOL | - |
dc.subject | RISK | - |
dc.subject | INFERENCE | - |
dc.title | Latent Class Analysis for Multiple Discrete Latent Variables: A Study on the Association Between Violent Behavior and Drug-Using Behaviors | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Hwan | - |
dc.identifier.doi | 10.1080/10705511.2017.1340844 | - |
dc.identifier.scopusid | 2-s2.0-85023168238 | - |
dc.identifier.wosid | 000414099800008 | - |
dc.identifier.bibliographicCitation | STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, v.24, no.6, pp.911 - 925 | - |
dc.relation.isPartOf | STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL | - |
dc.citation.title | STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL | - |
dc.citation.volume | 24 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 911 | - |
dc.citation.endPage | 925 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalResearchArea | Mathematical Methods In Social Sciences | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Social Sciences, Mathematical Methods | - |
dc.subject.keywordPlus | SUBSTANCE USE | - |
dc.subject.keywordPlus | DATING VIOLENCE | - |
dc.subject.keywordPlus | ALCOHOL | - |
dc.subject.keywordPlus | RISK | - |
dc.subject.keywordPlus | INFERENCE | - |
dc.subject.keywordAuthor | drug-using behavior | - |
dc.subject.keywordAuthor | joint patterns of multiple latent variables | - |
dc.subject.keywordAuthor | latent class analysis | - |
dc.subject.keywordAuthor | violent behavior | - |
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