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Integrating person-centered and variable-centered analyses: Growth mixture modeling (2000)
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| Venue: | SECTION V/MODELS FOR LATENT VARIABLES with |
| Citations: | 141 - 12 self |
BibTeX
@INPROCEEDINGS{Muthén00integratingperson-centered,
author = {Bengt Muthén and Linda K. Muthén},
title = {Integrating person-centered and variable-centered analyses: Growth mixture modeling},
booktitle = {SECTION V/MODELS FOR LATENT VARIABLES with},
year = {2000},
pages = {882--891}
}
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Abstract
Background: Many alcohol research questions require methods that take a person-centered approach because the interest is in finding heterogeneous groups of individuals, such as those who are susceptible to alcohol dependence and those who are not. A person-centered focus also is useful with longitudinal data to represent heterogeneity in developmental trajectories. In alcohol, drug, and mental health research the recognition of heterogeneity has led to theories of multiple developmental pathways. Methods: This paper gives a brief overview of new methods that integrate variable- and person-centered analyses. Methods discussed include latent class analysis, latent transition analysis, latent class growth analysis, growth mixture modeling, and general growth mixture modeling. These methods are presented in a general latent variable modeling framework that expands traditional latent variable modeling by including not only continuous latent variables but also categorical latent variables. Results: Four examples that use the National Longitudinal Survey of Youth (NLSY) data are presented to illustrate latent class analysis, latent class growth analysis, growth mixture modeling, and general growth mixture modeling. Latent class analysis of antisocial behavior found four classes. Four heavy drinking trajectory classes were found. The relationship between the latent classes and background variables and consequences was studied.
Keyphrases
growth mixture modeling variable-centered analysis general growth mixture modeling latent class growth analysis latent class analysis person-centered focus new method research question latent transition analysis heterogeneous group national longitudinal survey categorical latent variable include latent class analysis longitudinal data multiple developmental pathway person-centered approach latent class mental health research continuous latent variable traditional latent variable modeling general latent variable modeling framework background variable antisocial behavior person-centered analysis brief overview trajectory class developmental trajectory
