The Utility of Latent Class Analysis to Understand Heterogeneity in Youth Coping Strategies: A Methodological Introduction.
Latent class analysis (LCA) is a useful statistical approach for understanding heterogeneity in a population. This article provides a pedagogical introduction to LCA modeling and provides an example of its use to understand youths' daily coping strategies. The analytic procedures are outlined for ch...
| Publicado en: | Behavioral Disorders Vol. 48; no. 2; pp. 106 - 121 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Feb2023
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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=ccm&AN=161604744&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161604744 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01987429 BHD jtl: Behavioral Disorders issn: 01987429 maglogo: Y pubinfo: dt: Feb2023 vid: 48 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 161604744 154787325 161604744 161604744 10.1177/01987429211067214 161604744 ppf: 106 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The Utility of Latent Class Analysis to Understand Heterogeneity in Youth Coping Strategies: A Methodological Introduction. aug: au: Nylund-Gibson, Karen Garber, Adam C. Singh, Jay Witkow, Melissa R. Nishina, Adrienne Bellmore, Amy affil: University of California, Santa Barbara, USA sug: subj: Structural Equation Modeling Students, High School Psychosocial Factors Coping Human Adolescence Stress, Psychological Social Environment Avoidance (Psychology) Problem Solving Affect Adolescent: 13-18 years ab: Latent class analysis (LCA) is a useful statistical approach for understanding heterogeneity in a population. This article provides a pedagogical introduction to LCA modeling and provides an example of its use to understand youths' daily coping strategies. The analytic procedures are outlined for choosing the number of classes and integration of the LCA variable within a structural equation model framework, specifically a latent class moderation model, and a detailed table provides a summary of relevant modeling steps. This applied example demonstrates the modeling context when the LCA variable is moderating the association between a covariate and two outcome variables. Results indicate that students' coping strategies moderate the association between social stress and negative mood; however, they do not moderate the social stress-positive mood association. Online supplemental materials include R (MplusAutomation) code to automate the enumeration procedure, ML three-step auxiliary variable integration, and the generation of figures for visually depicting LCA results. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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