Latent Growth Modeling of Longitudinal Data: A Finite Growth Mixture Modeling Approach

By Fuzhong Li, Terry E. Duncan, S. C. Duncan, A. Acock. 2001

92 citations recorded by the source corpus.

Subfields: Management, Monitoring, Policy and Law, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/82b98657dd5fc73d59825f5e6a109fbeb56a1fd1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management, Monitoring, Policy and Law

1. Alexandre J. S. Morin
2. P. Curran

In Sociology and Political Science

1. Alexandre J. S. Morin
2. Herbert W. Marsh
3. Benjamin Nagengast
4. P. Curran
5. R. Stoel
6. Andrew Tomarken
7. Daniel J. Bauer
8. Craig K. Enders

Citations in the corpus

• Multilevel and SEM Approaches to Growth Curve Modeling (2005, background): “[10], for a didactic example of this methodology.”
• Local solutions in the estimation of growth mixture models. (2006, unknown): “Nevertheless, this approach is common to many applied analyses and even other didactic articles (see Li, Duncan, Duncan, & Acock, 2001 ).”
• The Impact of Misspecifying Class-Specific Residual Variances in Growth Mixture Models (2008, background): “McLachlan and Peel (2000) presented an example of a multivariate finite mixture model with two known classes, and demonstrated that equality constraints on † had deleterious effects on the classification accuracy of the model.”
• Structural equation modeling: strengths, limitations, and misconceptions. (2005, background): “Latent growth mixture modeling is a particularly interesting variant that can be used to determine if subgroups can be identified that demonstrate distinct developmental trajectories (e.g., Li et al. 2001, Muthén 2001).”
• Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (2003, background): “In our survey of the literature, including didactic articles by B. O. Muthén (2001), B. O. Muthén (2001), B. O. Muthén and Muthén (2000), and Li et al. (2001), change in model fit with the extraction of additional classes has been interpreted almost universally as a test of population…”
• General Growth Mixture Analysis of Adolescents' Developmental Trajectories of Anxiety: The Impact of Untested Invariance Assumptions on Substantive Interpretations (2011, methodology): “…to compare models with different numbers of classes, they can be used to compare models with the same number of classes but different specifications to complement the information criteria comparisons (Bauer & Curran, 2004; Eid, Langeheine, & Diener, 2003; Li et al., 2001; Petras & Masyn, 2010).”