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The Keshev-A: An adult ADHD screening measure incorporating indirect questioning and developmental indicators

  • Case Western Reserve University
  • Kent State University
  • University Hospitals Cleveland Medical Center

Research output: Contribution to journalArticlepeer-review

Abstract

This study examined the psychometric properties of the 35-item Keshev-A, one of the first adult ADHD screening questionnaires to include indirect questioning and retrospective school-age indicators. A sample of 1,668 volunteers completed the new scale and the ASRS-v1.1. The internal consistency of the Keshev-A’s composite score was excellent (α = 0.94), as was that of each of the eight content-based subscales (α =.70 to.85). An exploratory factor analysis (EFA; n = 904) using principal axis factoring identified three latent factors (1) Executive Functioning/Inattention, (2) Preadolescent Hyperactivity and Attentional Difficulties, and (3) Low Self-Concept. A confirmatory factor analysis (CFA; n = 844) showed acceptable fit (CFI =.94, TLI =.93, SRMR =.044, RMSEA =.069, 90% CI [.066,.071]). The convergent validity of this new scale was supported by its strong positive correlation with the ASRS-v1.1, r(1,668) =.885, p <.001. Additionally, receiver operating characteristic (ROC) analyses showed that the Keshev-A had higher screening accuracy (AUC =.881) than the ASRS-v1.1’s total score (AUC =.851) (ΔAUC =.030, z = 2.94, p =.003). This difference was primarily driven by improved negative predictive value (NPV = 63.82% vs. 54.20%) and a lower negative likelihood ratio (LR– = 0.24 vs. 0.35), indicating better identification of individuals without a self-reported ADHD diagnosis. In sum, these results show that the Keshev-A may serve as an effective instrument for screening probable ADHD. Implications for scale use, future integration within multiscale mental health instruments, and the development of symptom exaggeration subscales are discussed.
Original languageEnglish
JournalApplied Neuropsychology:Adult
DOIs
StateAccepted/In press - Jan 1 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • ADHD
  • assessment/diagnosis
  • neuropsychology
  • test construction

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