Latent Class Analysis: A Method for Capturing Heterogeneity.
Social work researchers often use variable-centered approaches such as regression and factor analysis. However, these methods do not capture important aspects of relationships that are often imbedded in the heterogeneity of samples. Latent class analysis (LCA) is one of several person-centered appro...
| Published in: | Social Work Research Vol. 36; no. 1; pp. 61 - 70 |
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| Main Authors: | , |
| Format: | Article |
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Oxford University Press / USA
Mar2012
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=78366064&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 78366064 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10705309 SWK jtl: Social Work Research issn: 10705309 maglogo: N pubinfo: dt: Mar2012 vid: 36 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 78366064 10.1093/swr/svs006 ppf: 61 ppct: 9 formats: fmt: @attributes: type: P size: 766KB tig: atl: Latent Class Analysis: A Method for Capturing Heterogeneity. aug: au: Rosato, Nancy Scotto Baer, Judith C. affil: Visiting Assistant Research Professor, Institute for Health, Health Care Policy, and Aging Research, Rutgers, The State University of New Jersey, New Brunswick Associate Professor, School of Social Work, Rutgers, The State University of New Jersey, New Brunswick su: Academic achievement Behavior disorders in children Black people Interviewing Social work research Adolescent health Socioeconomic factors Chi-squared test Child Behavior Checklist Statistics Data analysis Data analysis software sug: subj: Academic achievement Behavior disorders in children Black people Interviewing Social work research Adolescent health Socioeconomic factors Other Individual and Family Services Chi-squared test Child Behavior Checklist Statistics Data analysis Data analysis software keyword: Add Health latent class analysis mixture modeling person-centered analysis Add Health latent class analysis mixture modeling person-centered analysis ab: Social work researchers often use variable-centered approaches such as regression and factor analysis. However, these methods do not capture important aspects of relationships that are often imbedded in the heterogeneity of samples. Latent class analysis (LCA) is one of several person-centered approaches that can capture heterogeneity within and between groups. This method is illustrated in the present study, in which LCA is used to explicate differences in symptomatology in a nonclinical, national representative sample of youths. Data (N= 14,738) from the National Longitudinal Study of Adolescent Health were analyzed using externalizing and internalizing behavioral constructs and then validated against a number of sociodemographic characteristics and behavior outcomes typically associated with type and severity of symptomatology. Findings revealed important differences within the externalizing symptomatology construct and class differences across racial and ethnic groups, gender, age categories, and several behavior outcomes. Research and clinical implications on the importance of modeling heterogeneity using a person-centered approach are discussed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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