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Journal of Psychopathology and Behavioral Assessment
Gepubliceerd in:

18-06-2019

A Factor Analysis and Test of Longitudinal Measurement Invariance of the Children’s Depression Inventory (CDI) Across Adolescence

Auteurs: Allison Stumper, Thomas M. Olino, Lyn Y. Abramson, Lauren B. Alloy

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 4/2019

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Abstract

Depression increases dramatically during adolescence. This finding has been demonstrated using multiple measures, including the Children’s Depression Inventory (CDI). The CDI is one of the most commonly used measures to assess depression in youth. However, there is little agreement on its factor structure, and it is possible that its factor structure changes over time. Yet, no study to date has investigated whether this structure is longitudinally invariant from early- to mid-adolescence. The present study examined the factor structure of the CDI in a sample of 227 adolescents aged approximately 13 at baseline and 16 at follow-up. The analyses revealed that a one-factor structure was a good fit to the data at each assessment. Moreover, tests of measurement invariance supported configural, metric, and scalar invariance across time. These findings suggest that changes in depressive symptoms during adolescence are due to true developmental changes, rather than changes in measurement properties.
vorige artikel A Psychometric Evaluation of the Revised Childhood Anxiety Sensitivity Index (CASI-R) in a Child and Adolescent Sample
volgende artikel Moderated Mediation of the Link between Parent-Adolescent Conflict and Adolescent Risk-Taking: the Role of Physiological Regulation and Hostile Behavior in an Experimentally Controlled Investigation
Voetnoten
1
We also tested a bifactor rotation that modeled a general factor and up to four specific factors. In each of these models, there was evidence of a strong general factor, with factor loadings being substantial and significant at p < .05. However, there was very questionable evidence of the utility and interpretability of the specific factors. Specific factors had few loadings that were significant and there were multiple loadings that were negative. Thus, as the single factor model provided a satisfactory fit to the data, the improved fit of the bifactor model could be due to over fitting (Bonifay et al. 2017; Markon 2019).
 
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Metagegevens
Titel
A Factor Analysis and Test of Longitudinal Measurement Invariance of the Children’s Depression Inventory (CDI) Across Adolescence
Auteurs
Allison Stumper
Thomas M. Olino
Lyn Y. Abramson
Lauren B. Alloy
Publicatiedatum
18-06-2019
Uitgeverij
Springer US
Gepubliceerd in
Journal of Psychopathology and Behavioral Assessment / Uitgave 4/2019
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI
https://doi.org/10.1007/s10862-019-09746-x

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