The Utility of Latent Class Analysis to Understand Heterogeneity in Youth Coping Strategies: A Methodological Introduction

Autor/inn/en	Nylund-Gibson, Karen; Garber, Adam C.; Singh, Jay; Witkow, Melissa R.; Nishina, Adrienne; Bellmore, Amy
Titel	The Utility of Latent Class Analysis to Understand Heterogeneity in Youth Coping Strategies: A Methodological Introduction
Quelle	In: Behavioral Disorders, 48 (2023) 2, S.106-120 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Nylund-Gibson, Karen) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0198-7429
DOI	10.1177/01987429211067214
Schlagwörter	Coping; Multivariate Analysis; High School Students; Student Behavior; Stress Variables; Psychological Patterns; Heterogeneous Grouping + Suchen Sie Ihr Suchwort? Bewältigung; Multivariate Analyse; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Student behaviour; Schülerverhalten
Abstract	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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01