Literature DB >> 31289695

Racial/ethnic differences in youth depression indicators: An item response theory analysis of symptoms reported by White, Black, Asian, and Latino youths.

Rachel A Vaughn-Coaxum1, Patrick Mair1, John R Weisz1.   

Abstract

Accurate assessment of dysfunction is central to clinical psychological science, essential for valid conclusions about prevalence, risk, and appropriate intervention. Measures applied without adjustment across diverse racial/ethnic groups may risk errors if measurement equivalence has not been established. We tested this possibility in the domain of youth depression, applying item response theory (IRT) and differential item functioning (DIF) analyses to reports by White, Black, Latino, and Asian youths (N = 2,335) on the most widely-used measure of symptoms, the Children's Depression Inventory (CDI). Analyses revealed that 77% of CDI items were non-equivalent indicators of symptom severity across groups. CDI sum scores exhibited marked over-estimations of group differences and inappropriate classification as "clinically-elevated" for 29% of Latino, 23% of Black, and 10% of Asian youths. Applying DIF adjustment corrected these errors. The study demonstrates a useful strategy for ethnically sensitive assessment, applicable to other symptom domains and ethnic groups.

Entities:  

Keywords:  adolescent; child; depression; measurement invariance; psychometrics

Year:  2015        PMID: 31289695      PMCID: PMC6615896          DOI: 10.1177/2167702615591768

Source DB:  PubMed          Journal:  Clin Psychol Sci        ISSN: 2167-7034


  2 in total

1.  Translation and validation of the evidence-based practice attitude scale (EBPAS-15) to Brazilian Portuguese: Examining providers' perspective about evidence-based parent intervention.

Authors:  A A Baumann; A L Vázquez; A C Macchione; A Lima; A F Coelho; M Juras; M Ribeiro; M Kohlsdorf; B J Carothers
Journal:  Child Youth Serv Rev       Date:  2022-02-18

2.  A regularization approach for the detection of differential item functioning in generalized partial credit models.

Authors:  Gunther Schauberger; Patrick Mair
Journal:  Behav Res Methods       Date:  2020-02
  2 in total

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