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The classification accuracy of Warrington's recognition memory test (words) as a performance validity Test in a neurorehabilitation setting.
Parsons, Jenna; Rodrigues, Nelson B; Erdodi, Laszlo A.
Afiliação
  • Parsons J; Department of Psychology, Neuropsychology Track, University of Windsor, Windsor, ON, Canada.
  • Rodrigues NB; Department of Psychology, Neuropsychology Track, University of Windsor, Windsor, ON, Canada.
  • Erdodi LA; Department of Psychology, Neuropsychology Track, University of Windsor, Windsor, ON, Canada.
Appl Neuropsychol Adult ; : 1-11, 2024 Jun 24.
Article em En | MEDLINE | ID: mdl-38913011
ABSTRACT
This study was designed to evaluate the classification accuracy of the Warrington's Recognition Memory Test (RMT) in 167 patients (97 or 58.1% men; MAge = 40.4; MEducation= 13.8) medically referred for neuropsychological evaluation against five psychometrically defined criterion groups. At the optimal cutoff (≤42), the RMT produced an acceptable combination of sensitivity (.36-.60) and specificity (.85-.95), correctly classifying 68.4-83.3% of the sample. Making the cutoff more conservative (≤41) improved specificity (.88-.95) at the expense of sensitivity (.30-.60). Lowering the cutoff to ≤40 achieved uniformly high specificity (.91-.95) but diminished sensitivity (.27-.48). RMT scores were unrelated to lateral dominance, education, or gender. The RMT was sensitive to a three-way classification of performance validity (Pass/Borderline/Fail), further demonstrating its discriminant power. Despite a notable decline in research studies focused on its classification accuracy within the last decade, the RMT remains an effective free-standing PVT that is robust to demographic variables. Relatively low sensitivity is its main liability. Further research is needed on its cross-cultural validity (sensitivity to limited English proficiency).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article