Detailed Information

Cited 6 time in webofscience Cited 0 time in scopus
Metadata Downloads

Validation study of tripartite model of anxiety and depression in children and adolescents: Clinical sample in Korea

Authors
Yang, JW[Yang, Jae-Won]Hong, SD[Hong, Sungdo D.]Joung, YS[Joung, Yoo Sook]Kim, JH[Kim, Ji-Hae]
Issue Date
Dec-2006
Publisher
KOREAN ACAD MEDICAL SCIENCES
Citation
JOURNAL OF KOREAN MEDICAL SCIENCE, v.21, no.6, pp.1098 - 1102
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF KOREAN MEDICAL SCIENCE
Volume
21
Number
6
Start Page
1098
End Page
1102
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/86432
ISSN
1011-8934
Abstract
Although the currently available literature has provided some empirical support for a tripartite model of child and adolescent anxiety and depression, one of the limitations of these studies was that they have been conducted in America, primarily with Caucasians. In order to make this model more applicable to diverse ethnic and cultural groups, this study used a tripartite model for child and adolescent anxiety and depression in Korea, using confirmatory factor analysis with logically selected items from the Revised Children's Manifest Anxiety Scale (RCMAS), as well as the Children's Depression Inventory (CDI). The results indicated that the model fit of a three-factor model was superior to one- and two-factor models. In addition, the findings of discriminant analysis demonstrated that the correct classification rate with three factors of the tripartite model was superior to the classification rate achievable using CDI and RCMAS. In a departure from Clark and Watson's hypothesis, however, the correlations of three factors were significantly higher than had been expected. The results are discussed on the basis of cultural background.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Medicine > Department of Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher JOUNG, YOO SOOK photo

JOUNG, YOO SOOK
Medicine (Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE