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Gepubliceerd in:

20-10-2022 | Article

A Content Analysis of Self-report Child Anxiety Measures

Auteurs: Minjee Kook, Jane W. Clinger, Eric Lee, Sophie C. Schneider, Eric A. Storch, Andrew G. Guzick

Gepubliceerd in: Child Psychiatry & Human Development | Uitgave 4/2024

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Abstract

A clear understanding of the item content of psychological assessments is critical but often overlooked. This study describes the content overlap of seven commonly used and psychometrically validated measures of anxiety among children and adolescents. Symptom codes were created for all items across measures and items were sorted by these codes, which all fell into specific symptom categories. We conducted two analyses of all items: a “bottom-up” content categorization approach, which used symptom categories that were developed during this study, and a “top-down” DSM-5 categorization which mapped items onto symptoms of anxiety disorders in the DSM-5. Findings reveal a weak mean overlap across the included measures of youth anxiety. This suggests that the scope of anxiety measures should be carefully considered when designing studies, interpreting research, or assessing youth in clinical practice. Further research is needed to develop and establish a coding scheme for a more objective, comprehensive content analysis.
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Metagegevens
Titel
A Content Analysis of Self-report Child Anxiety Measures
Auteurs
Minjee Kook
Jane W. Clinger
Eric Lee
Sophie C. Schneider
Eric A. Storch
Andrew G. Guzick
Publicatiedatum
20-10-2022
Uitgeverij
Springer US
Gepubliceerd in
Child Psychiatry & Human Development / Uitgave 4/2024
Print ISSN: 0009-398X
Elektronisch ISSN: 1573-3327
DOI
https://doi.org/10.1007/s10578-022-01455-z