TY - JOUR
T1 - Latent Growth and Dynamic Structural Equation Models
AU - Grimm, Kevin J.
AU - Ram, Nilam
N1 - Funding Information:
K.J.G. was supported by National Science Foundation grant REAL-1252463, awarded to the University of Virginia, David Grissmer (principal investigator), and Christopher Hulleman (coprincipal investigator). N.R. was supported by the National Institutes of Health (grants R01 HD076994, P2C HD041025, and UL TR000127) and the Pennsylvania State University Social Science Research Institute. The authors thank Laurie Chassin, who provided the data for the empirical example. These data were collected with support from the National Institute of Alcohol Abuse and Alcoholism (grants AA016213 and AA022097)
Funding Information:
K.J.G. was supported by National Science Foundation grant REAL-1252463, awarded to the University of Virginia, David Grissmer (principal investigator), and Christopher Hulleman (coprincipal investigator). N.R. was supported by the National Institutes of Health (grants R01 HD076994, P2C HD041025, and UL TR000127) and the Pennsylvania State University Social Science Research Institute. The authors thank Laurie Chassin, who provided the data for the empirical example. These data were collected with support from the National Institute of Alcohol Abuse and Alcoholism (grants AA016213 and AA022097).
Publisher Copyright:
© Copyright 2018 by Annual Reviews. All rights reserved.
PY - 2018/5/7
Y1 - 2018/5/7
N2 - Latent growth models make up a class of methods to study within-person change-how it progresses, how it differs across individuals, what are its determinants, and what are its consequences. Latent growth methods have been applied in many domains to examine average and differential responses to interventions and treatments. In this review, we introduce the growth modeling approach to studying change by presenting different models of change and interpretations of their model parameters. We then apply these methods to examining sex differences in the development of binge drinking behavior through adolescence and into adulthood. Advances in growth modeling methods are then discussed and include inherently nonlinear growth models, derivative specification of growth models, and latent change score models to study stochastic change processes. We conclude with relevant design issues of longitudinal studies and considerations for the analysis of longitudinal data.
AB - Latent growth models make up a class of methods to study within-person change-how it progresses, how it differs across individuals, what are its determinants, and what are its consequences. Latent growth methods have been applied in many domains to examine average and differential responses to interventions and treatments. In this review, we introduce the growth modeling approach to studying change by presenting different models of change and interpretations of their model parameters. We then apply these methods to examining sex differences in the development of binge drinking behavior through adolescence and into adulthood. Advances in growth modeling methods are then discussed and include inherently nonlinear growth models, derivative specification of growth models, and latent change score models to study stochastic change processes. We conclude with relevant design issues of longitudinal studies and considerations for the analysis of longitudinal data.
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U2 - 10.1146/annurev-clinpsy-050817-084840
DO - 10.1146/annurev-clinpsy-050817-084840
M3 - Review article
C2 - 29734829
AN - SCOPUS:85046822970
SN - 1548-5943
VL - 14
SP - 55
EP - 89
JO - Annual Review of Clinical Psychology
JF - Annual Review of Clinical Psychology
ER -
