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ERIC Number: EJ788904
Record Type: Journal
Publication Date: 2008
Pages: 23
Abstractor: Author
Reference Count: 74
ISSN: ISSN-0013-1644
Measurement Bias across Gender on the Children's Depression Inventory: Evidence for Invariance from Two Latent Variable Models
Carle, Adam C.; Millsap, Roger E.; Cole, David A.
Educational and Psychological Measurement, v68 n2 p281-303 2008
Confirmatory factor analysis for ordered-categorical measures (CFA-OCM) and rating scale item response theory (IRT) analyses explore measurement bias across gender on the Children's Depression Inventory (CDI) in a community sample of 779 children in the third and sixth grades. Given the set of statistical criteria, IRT and CFA-OCM generally establish measurement equivalence. Results substantiate both Craighead et al.'s five-factor model and IRT models with the CDI, demonstrate their convergence regarding bias, support the use of the CDI in cross-gender comparisons, suggest a separate scoring method need not be developed for children in this age range, and provide evidence that previously noted developmental similarities in depression reflect true similarities. Given measurement invariance, observed score analyses demonstrate no statistically significant differences between boys and girls on the CDI total score and four scores created as a function of the factor model. However, girls endorse statistically significant elevated levels on a dysphoria score. (Contains 8 tables.)
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Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Grade 3; Grade 6; Middle Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A