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Multivariate examination of embedded indicators of performance validity for ADHD evaluations: A targeted approach.
Finley, John-Christopher A; Brooks, Julia M; Nili, Amanda N; Oh, Alison; VanLandingham, Hannah B; Ovsiew, Gabriel P; Ulrich, Devin M; Resch, Zachary J; Soble, Jason R.
Afiliação
  • Finley JA; Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School, Chicago, IL, USA.
  • Brooks JM; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.
  • Nili AN; Department of Psychology, University of Illinois at Chicago, Chicago, IL, USA.
  • Oh A; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.
  • VanLandingham HB; Department of Medical Social Sciences, Northwestern University Feinberg School, Chicago, IL, USA.
  • Ovsiew GP; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.
  • Ulrich DM; Department of Psychology, Illinois Institute of Technology Chicago, IL, USA.
  • Resch ZJ; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.
  • Soble JR; Department of Psychology, Illinois Institute of Technology Chicago, IL, USA.
Appl Neuropsychol Adult ; : 1-14, 2023 Sep 13.
Article em En | MEDLINE | ID: mdl-37703401
ABSTRACT
This study investigated the individual and combined utility of 10 embedded validity indicators (EVIs) within executive functioning, attention/working memory, and processing speed measures in 585 adults referred for an attention-deficit/hyperactivity disorder (ADHD) evaluation. Participants were categorized into invalid and valid performance groups as determined by scores from empirical performance validity indicators. Analyses revealed that all of the EVIs could meaningfully discriminate invalid from valid performers (AUCs = .69-.78), with high specificity (≥90%) but low sensitivity (19%-51%). However, none of them explained more than 20% of the variance in validity status. Combining any of these 10 EVIs into a multivariate model significantly improved classification accuracy, explaining up to 36% of the variance in validity status. Integrating six EVIs from the Stroop Color and Word Test, Trail Making Test, Verbal Fluency Test, and Wechsler Adult Intelligence Scale-Fourth Edition was as efficacious (AUC = .86) as using all 10 EVIs together. Failing any two of these six EVIs or any three of the 10 EVIs yielded clinically acceptable specificity (≥90%) with moderate sensitivity (60%). Findings support the use of multivariate models to improve the identification of performance invalidity in ADHD evaluations, but chaining multiple EVIs may only be helpful to an extent.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Appl Neuropsychol Adult Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Appl Neuropsychol Adult Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos