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Title: Integrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling With Latent Trajectory Classes
Resulting in 1 citation.
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Muthen, Bengt O. Muthen, Linda K. |
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Integrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling With Latent Trajectory Classes Alcoholism: Clinical and Experimental Research 24,6 (June 2000): 882-891. Also: https://onlinelibrary.wiley.com/doi/10.1111/j.1530-0277.2000.tb02070.x Cohort(s): NLSY79 Publisher: Research Society on Alcoholism and the International Society for Biomedical Research on Alcoholism Keyword(s): Alcohol Use; Behavior, Antisocial; Modeling, Latent Class Analysis/Latent Transition Analysis; Modeling, MIxture Models/Finite Mixture Models Permission to reprint the abstract has not been received from the publisher. 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. |
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Bibliography Citation
Muthen, Bengt O. and Linda K. Muthen. "Integrating Person-Centered and Variable-Centered Analyses: Growth Mixture Modeling With Latent Trajectory Classes." Alcoholism: Clinical and Experimental Research 24,6 (June 2000): 882-891.
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