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Applications of Individual Growth Curve Modeling for Pediatric Psychology Research
Journal of Pediatric Psychology
  • Christian DeLucia, Nova Southeastern University, Center for Psych Studies
  • Steven C Pitts, University of Maryland - Baltimore County
Document Type
Publication Date
  • Growth Curves,
  • Trajectories,
  • Longitudinal Modeling,
  • Statistical Methods
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).
Citation Information
Christian DeLucia and Steven C Pitts. "Applications of Individual Growth Curve Modeling for Pediatric Psychology Research" Journal of Pediatric Psychology Vol. 31 Iss. 10 (2006) p. 1002 - 1023 ISSN: 0146-8693
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