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Journal of Pediatric Psychology Advance Access originally published online on September 21, 2005
Journal of Pediatric Psychology 2006 31(10):1002-1023; doi:10.1093/jpepsy/jsj074
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© The Author 2005. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oupjournals.org

Applications of Individual Growth Curve Modeling for Pediatric Psychology Research

Christian DeLucia, PhD1 and Steven C. Pitts, PhD2

1 University of Illinois at Chicago and, 2 University of Maryland, Baltimore County

All correspondence concerning this article should be addressed to Christian DeLucia, PhD, Center for Treatment Research on Adolescent Drug Abuse, Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, 1400 NW 10th Avenve Suite 1107B, Miami, Florida 33136. E-mail: cdelucia{at}med.miami.edu.

Objective To provide a brief, nontechnical introduction to individual growth curve modeling for the analysis of longitudinal data. Several applications of individual growth curve modeling for pediatric psychology research are discussed. Methods To illustrate these applications, we analyze data from an ongoing pediatric psychology study of the possible impact of spina bifida on child and family development (N = 135). Three repeated observations, spaced by approximately 2 years, contributed to the analyses (M age at baseline = 8.84). Results Results indicated that individual linear growth curves of emotional autonomy varied as a function of the youth gender by spina bifida group membership interaction. Conclusions Strengths of individual growth curve modeling relative to more traditional methods of analysis are highlighted (e.g., completely flexible specification of the time variable, explicit modeling of both aggregate-level and individual-level growth curves).

Key words: Growth curves; trajectories; longitudinal modeling; statistical methods.


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