Symptom differentiation of anxiety and depression across youth development and clinic-referred/nonreferred samples: An examination of competing factor structures of the Child Behavior Checklist DSM-oriented scales
Abstract
This study examined the psychometric properties of the DSM-oriented scales of the Child Behavior Checklist (Achenbach, Dumenci, & Rescorla, 2003) using confirmatory factor analysis to compare the six-factor structure of the DSM-oriented scales to competing models consistent with developmental theories of symptom differentiation. We tested these models on both clinic-referred (N = 757) and school-based, nonreferred (N = 713) samples of youths in order to assess the generalizability of the factorial structures. Although previous research has supported the fit of the six-factor DSM-oriented structure in a normative sample of youths ages 7 to 18 (Achenbach & Rescorla, 2001), tripartite model research indicates that anxiety and depressive symptomology are less differentiated among children compared to adolescents (Jacques & Mash, 2004). We thus examined the relative fit of a six- and a five-factor model (collapsing anxiety and depression) with younger (ages 7–10) and older (ages 11–18) youth subsamples. The results revealed that the six-factor model fit the best in all samples except among younger nonclinical children. The results extended the generalizability of the rationally derived six-factor structure of the DSM-oriented scales to clinic-referred youths and provided further support to the notion that younger children in nonclinical samples exhibit less differentiated symptoms of anxiety and depression.
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Confirmatory factor analysis results for the CBCL DSM-oriented scales indicated good fit (CFI = 0.96, RMSEA = 0.045).
“Confirmatory factor analysis results for the DSM-oriented scales indicated good fit (Comparative Fit Index [CFI] of 0.96 and Root Mean Square Error of Approximation [RMSEA] of 0.045 [100, 101].”
From Screen time and mental health: a prospective analysis of the Adolescent Brain Cognitive Development (ABCD) Study (2024) · cites this paper as [101]
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- Authors
- Price, M., Higa-McMillan, C., Ebesutani, C., Okamura, K., Nakamura, B. J., Chorpita, B. F., & Weisz, J.
- Affiliations
- University of Hawaii at Hilo (US)
- University of Hawaiʻi at Mānoa (US)
- University of California, Los Angeles (US)
- Harvard University (US)
- Corresponding author
- Higa-McMillan, Charmaine
- ORCID
- Venue
- Development and Psychopathology
- Publisher
- Cambridge University Press (CUP)
- Published
- 2013-11
- Volume
- 25
- Issue
- 4pt1
- Pages
- 1005-1015
- ISSN
- 0954-5794 (ISSN-L)
- 1469-2198
- OpenAlex
- W2333238580
- Cited by
- 28
- References
- 75
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 1 · 2019: 2 · 2018: 4 · 2017: 1 · 2016: 3 · 2015: 3 · 2014: 1
- FWCI
- 2.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Development and Psychopathology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- anxiety, depression, symptom differentiation, Child Behavior Checklist, factor structure, tripartite model, youth development, psychometric properties, children and adolescents
- MeSH terms
- Adolescent, Anxiety, Anxiety Disorders, Child, Child Behavior, Depression, Depressive Disorder, Diagnosis, Differential, Factor Analysis, Statistical, Female, Humans, Male, Models, Psychological, Psychometrics, Surveys and Questionnaires, Severity of Illness Index, Checklist
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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