Multivariate models provide an effective psychometric solution to the variability in classification accuracy of D-KEFS Stroop performance validity cutoffs.

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作者： Laura,Cutler ^[1] ; Matthew,Greenacre ^[2] ; Christopher A,Abeare ^[1] ; Christina D,Sirianni ^[3] ; Robert,Roth ^[4] ; Laszlo A,Erdodi ^[1]

作者单位： Department of Psychology, Neuropsychology Track, University of Windsor, Windsor, Ontario, Canada. ^[1] Schulich School of Medicine, Western University, London, Ontario, Canada. ^[2] School of Social Work, University of Windsor, Windsor, Ontario, Canada. ^[3] Department of Psychiatry, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA. ^[4]

关键词 D-KEFS Stroop embedded validity indicators performance validity

主题词人类(Humans);神经心理学测验(Neuropsychological Tests);心理测定学(Psychometrics);结果可重复性(Reproducibility of Results);敏感性与特异性(Sensitivity and Specificity);病人(Patients)

DOI 10.1080/13854046.2022.2073914

PMID 35946813

发布时间 2023-04-22

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