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Lee, Seung-yeon – Death Studies, 2011
The present study validated the use of the Korean version of the Reasons for Living Inventory for Adolescents (KRFL-A) in a group of 406 South Korean high school students. Confirmatory factor analysis confirmed the original 5-factor structure, and other psychometric properties demonstrated the usefulness of the KRFL-A as a measure of cognitive…
Descriptors: Suicide, Adolescents, Psychometrics, Peer Acceptance
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Ruggiero, Kenneth J.; Morris, Tracy L.; Beidel, Deborah C.; Scotti, Joseph R.; McLeer, Susan V. – Assessment, 1999
Examined the discriminant validity of the State-Trait Anxiety Inventory for Children (C. Spielberger, 1973) and the Children's Depression Inventory (M. Kovacs, 1992) using a sample of 240 clinic-referred and non-clinic-referred children aged 8 to 14 years. Factor analysis yielded distinct factors of anxiety and depression. (SLD)
Descriptors: Adolescents, Anxiety, Children, Depression (Psychology)
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Craighead, W. Edward; Smucker, Mervin R.; Wilcoxon Craighead, Linda; Ilardi, Stephen S. – Psychological Assessment, 1998
The factor structure of the Children's Depression Inventory (CDI) (M. Kovacs, 1992) was evaluated in a community sample of 1777 children and 924 adolescents. There were five first-order factors for the child group, and the same five plus one more for the adolescents. Results support the stability and predictability of the obtained factor…
Descriptors: Adolescents, Children, Depression (Psychology), Factor Analysis
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Steele, Ric G.; Little, Todd D.; Ilardi, Stephen S.; Forehand, Rex; Brody, Gene H.; Hunter, Heather L. – Journal of Child and Family Studies, 2006
We examined the factor structure of the Children's Depression Inventory (CDI) among a sample of 523 African American children (m age = 12.76) and a sample of 564 European American youth (m age = 12.43). Previous investigations have produced discrepant factor structures among samples of predominantly majority-culture children, but fewer…
Descriptors: African American Children, Factor Structure, Factor Analysis, Youth