Journal article
Children's Depression Inventory: A unidimensional factor structure for American Indian and Alaskan native youth
Psychological assessment, Vol.28(1), pp.81-91
01/2016
Handle:
https://hdl.handle.net/2376/113460
PMID: 26011483
Abstract
Given that American Indian and Alaskan Native (AI/AN) youth are at increased risk for a variety of depression-related outcomes and may experience depression uniquely, the fact that the factor structure of the Children's Depression Inventory (CDI; Kovacs, 1992) is unknown for these populations represents a significant obstacle. In Study 1 with an AI youth sample, we conducted confirmatory factor analyses and failed to find support for either of the 2 predominant CDI multifactor models (Craighead, Smucker, Craighead, & Ilardi, 1998; Kovacs, 1992). In subsequent exploratory structural equation modeling, we found the most support for a unidimensional factor structure. In Study 2, using confirmatory modeling with independent AI/AN youth samples, we found further support for this unidimensional model. Finally, in Study 3, we found support across AI/AN groups varying in gender and age for measurement invariance with respect to both factor structure and factor loadings. Overall, for these AI/AN youth populations, our findings support the practice of calculating total CDI scores, and they suggest a unique construction of the depression experience.
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Details
- Title
- Children's Depression Inventory: A unidimensional factor structure for American Indian and Alaskan native youth
- Creators
- Walter D Scott - Department of Psychology, University of WyomingJoshua Clapp - Department of Psychology, University of WyomingInga Mileviciute - Department of Psychology, University of WyomingAlicia Mousseau - Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado
- Publication Details
- Psychological assessment, Vol.28(1), pp.81-91
- Academic Unit
- Psychology, Department of
- Publisher
- United States
- Identifiers
- 99900547604101842
- Language
- English
- Resource Type
- Journal article