2003Psychological AssessmentRequires access

Is It Prudent to Administer All Items for Each Child Behavior Checklist Cross-Informant Syndrome? Evaluating the Psychometric Properties of the Youth Self-Report Dimensions With Confirmatory Factor Analysis and Item Response Theory.

Michael C. Lambert, Neal Schmitt, Maureen Samms‐Vaughan, Jeong Shin An, Maureen Fairclough, Christine A. Nutter

Open publisher page 49 citations

Abstract

Through surveying of children in 10 nations with parent, teacher, and Youth Self-Report (YSR) forms of the Child Behavior Checklist (CBCL), cross-informant syndromes (CISs) were derived and cross-validated by sample-dependent methodology. Generalizing CBCL syndromes and norms to nations excluded from its normative sample is problematic. This study used confirmatory factor analyses (CFAs) to test factor model fit for CISs on the YSR responses of 625 Jamaican children ages 11 to 18 years. Item response theory (IRT), a sample-independent methodology, was used to estimate the psychometric properties of individual items on each dimension. CFAs indicated poor to moderate model-to-data fit. Across all syndromes, IRT analyses revealed that more than 3/4 of the cross-informant items yielded little information. Eliminating such items could be cost effective in terms of administration time yet improve the measures discrimination across syndrome severity levels.

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What this paper is about

Through surveying of children in 10 nations with parent, teacher, and Youth Self-Report (YSR) forms of the Child Behavior Checklist (CBCL), cross-informant syndromes (CISs) were derived and cross-validated by sample-dependent methodology. Generalizing CBCL syndromes and norms to nations excluded from its normative sample is problematic. This study used confirmatory factor analyses (CFAs) to test factor model fit for CISs on the YSR responses of 625 Jamaican children ages 11 to 18 years. Item response theory (IRT), a sample-independent methodology, was used to estimate the psychometric properties of individual items on each dimension. CFAs indicated poor to moderate model-to-data fit. Across all syndromes, IRT analyses revealed that more than 3/4 of the cross-informant items yielded little information. Eliminating such items could be cost effective in terms of administration time yet improve the measures discrimination across syndrome severity levels.

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Available abstract

Through surveying of children in 10 nations with parent, teacher, and Youth Self-Report (YSR) forms of the Child Behavior Checklist (CBCL), cross-informant syndromes (CISs) were derived and cross-validated by sample-dependent methodology. Generalizing CBCL syndromes and norms to nations excluded from its normative sample is problematic. This study used confirmatory factor analyses (CFAs) to test factor model fit for CISs on the YSR responses of 625 Jamaican children ages 11 to 18 years. Item response theory (IRT), a sample-independent methodology, was used to estimate the psychometric properties of individual items on each dimension. CFAs indicated poor to moderate model-to-data fit. Across all syndromes, IRT analyses revealed that more than 3/4 of the cross-informant items yielded little information. Eliminating such items could be cost effective in terms of administration time yet improve the measures discrimination across syndrome severity levels.

Key concepts: CBCL, Psychology, Child Behavior Checklist, Item response theory, Psychometrics, Normative, Confirmatory factor analysis, Checklist

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Is It Prudent to Administer All Items for Each Child Behavior Checklist Cross-Informant Syndrome? Evaluating the Psychometric Properties of the Youth Self-Report Dimensions With Confirmatory Factor Analysis and Item Response Theory. — Research Paper | ScholarLens