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Measurement Bias across Gender on the Children's Depression Inventory: Evidence for Invariance from Two Latent Variable Models

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Title: Measurement Bias across Gender on the Children's Depression Inventory: Evidence for Invariance from Two Latent Variable Models
Language: English
Authors: Carle, Adam C., Millsap, Roger E., Cole, David A.
Source: Educational and Psychological Measurement. 2008 68(2):281-303.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Physical Description: PDF
Page Count: 23
Publication Date: 2008
Document Type: Journal Articles
Reports - Research
Education Level: Elementary Education
Grade 3
Grade 6
Middle Schools
Descriptors: Rating Scales, Scoring, Factor Analysis, Gender Differences, Depression (Psychology), Item Response Theory, Test Bias, Measurement Techniques, Grade 3, Grade 6, Psychometrics, Symptoms (Individual Disorders), Student Behavior, Behavior Problems, Middle School Students, Elementary School Students
DOI: 10.1177/0013164407308471
ISSN: 0013-1644
Abstract: 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.)
Abstractor: Author
Number of References: 74
Entry Date: 2008
Accession Number: EJ788904
Database: ERIC
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  Label: Abstract
  Group: Ab
  Data: 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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  Data: EJ788904
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      – Text: English
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        PageCount: 23
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    Subjects:
      – SubjectFull: Rating Scales
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      – TitleFull: Measurement Bias across Gender on the Children's Depression Inventory: Evidence for Invariance from Two Latent Variable Models
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