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Journal of Pediatric Psychology Advance Access originally published online on October 31, 2007
Journal of Pediatric Psychology 2008 33(7):679-687; doi:10.1093/jpepsy/jsm107
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© The Author 2007. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

This article appears in the following Journal of Pediatric Psychology issue: Series on Methodology Article [View the issue table of contents]

Structural Equation Modeling in Pediatric Psychology: Overview and Review of Applications

Timothy D. Nelson, MA, Brandon S. Aylward, MA and Ric G. Steele, PhD, ABPP

Clinical Child Psychology Program, University of Kansas

All correspondence concerning this article should be addressed to Ric G. Steele, PhD, ABPP, Clinical Child Psychology Program, University of Kansas, 1000 Sunnyside Ave., Room 2010, Lawrence, KS 66045-7555, USA. E-mail: rsteele{at}ku.edu


  Abstract

Objective To describe the use of structural equation modeling (SEM) in the Journal of Pediatric Psychology (JPP) and to discuss the usefulness of SEM applications in pediatric psychology research. Method The use of SEM in JPP between 1997 and 2006 was examined and compared to leading journals in clinical psychology, clinical child psychology, and child development. Results SEM techniques were used in <4% of the empirical articles appearing in JPP between 1997 and 2006. SEM was used less frequently in JPP than in other clinically relevant journals over the past 10 years. However, results indicated a recent increase in JPP studies employing SEM techniques. Conclusions SEM is an under-utilized class of techniques within pediatric psychology research, although investigations employing these methods are becoming more prevalent. Despite its infrequent use to date, SEM is a potentially useful tool for advancing pediatric psychology research with a number of advantages over traditional statistical methods.

Key words: pediatric psychology; research methods; SEM; structural equation modeling.

Received June 6, 2007; revision received October 1, 2007; accepted October 9, 2007


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