The Quick Inventory of Depressive Symptomatology, Adolescent Version (QIDS-A17): A Psychometric Evaluation

Charlotte L. Haley, Betsy D. Kennard, David W. Morris, Ira H. Bernstein, Thomas Carmody, Graham J. Emslie, Taryn L. Mayes, A. John Rush

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Objective: The current study aimed to evaluate the psychometric features of the Quick Inventory of Depressive Symptomatology, Adolescent version (QIDS-A17) and the clinician-rated Children’s Depression Rating Scale-Revised (CDRS-R). Methods: Altogether, 103 outpatients (8 to 17 years) completed the self-report QIDS-A17-SR. Clinician interviews of adolescents (QIDS-A17-C (Adolescent)) and of parents (QIDS-A17-C (Parent)) were combined to create the QIDS-A17-C(Composite) and the CDRS-R. Results: All QIDS-A17 measures and the CDRS-R evidenced high total score correlations and internal consistency. Factor analysis found all four measures to be unidimensional. Item Response Theory (IRT) analysis found results that complemented the reliability results found in CTT. All four also demonstrated discriminant diagnostic validity based on logistic regression and ANOVA analyses. Conclusion: The psychometric properties of the self-report and composite versions of the QIDS-A17 suggest acceptability as a measure of depression in adolescents either as a measure of depressive symptoms or severity of illness in adolescents. The self-report version may be a helpful tool in busy clinical practices.

Original languageEnglish (US)
Pages (from-to)1085-1102
Number of pages18
JournalNeuropsychiatric Disease and Treatment
Volume19
DOIs
StatePublished - 2023

Keywords

  • pediatric depression
  • psychometric properties
  • rating scale
  • self-report measures

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Biological Psychiatry

Fingerprint

Dive into the research topics of 'The Quick Inventory of Depressive Symptomatology, Adolescent Version (QIDS-A17): A Psychometric Evaluation'. Together they form a unique fingerprint.

Cite this