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Static Versus Dynamic Structural Models of Depression: The Case of the CES-D

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  • Marc Blais
  • Ursula Hess
  • Andrea S. Riddle

Abstract

Depression is composed of multiple subcomponents including social, cognitive, affective, and somatic symptomatology. Many widely used self-report scales are also multidimensional, suggesting that the subcomponents of depression are empirically differentiated, yet the use of a composite score is the common practice. The authors argue that a closer examination of the subscales of symptom inventories, and their interrelationships, can further our understanding of the development and persistence of depression. Structural equation modeling is used on the French version of CES-D responses (Radloff, 1977) from 1,734 participants, providing an explicit test of causal relations between several response classes commonly associated with depression. These structural models are consistent with a view of depression as a process that unfolds over time and are tested within both a cross-sectional and a prospective framework. They are compared to a higher-order factor model which speaks to the nature, but not the development, of depression. La dépression comprend différentes facettes dont des symptômes interpersonnels, cognitifs, affectifs et somatiques. En effet, la majorité des mesures de la dépression sont de nature multidimensionnelle. Néanmoins, les utilisateurs de ces mesures utilisent typiquement le score total ou composé plutôt que le score individuel des dimensions. Nous proposons un examen plus en profondeur de la nature des relations entre ces dimensions sous-jacentes qui peut aider notre compréhension de la dépression. Des analyses par équations structurelles ont été utilisées auprès de 1,734 sujets afin de vérifier les relations de types statique (structures factorielles) et dynamique (modélisation causale) entre les dimensions de la version française du CES-D (Radloff, 1977). Les résultats des analyses transversales et prospectives soutiennent des liens de type causal entre les symptômes de la dépression. Ces résultats sont comparés à ceux des analyses factorielles hiérarchiques.

Suggested Citation

  • Marc Blais & Ursula Hess & Andrea S. Riddle, 2002. "Static Versus Dynamic Structural Models of Depression: The Case of the CES-D," CIRANO Working Papers 2002s-37, CIRANO.
    • Handle: RePEc:cir:cirwor:2002s-37
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    1. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    2. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    3. Guarnaccia, Peter J. & Angel, Ronald & Worobey, Jacqueline Lowe, 1989. "The factor structure of the CES-D in the Hispanic health and nutrition examination survey: The influences of ethnicity, gender and language," Social Science & Medicine, Elsevier, vol. 29(1), pages 85-94, January.
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