2020
DOI: 10.1080/23279095.2020.1864633
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The utility of the Wisconsin card sorting test, 64-card version to detect noncredible attention-deficit/hyperactivity disorder

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Cited by 10 publications
(2 citation statements)
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“…Failure rates per test variable ranged from 3.3% on the reaction time of the vigilance test (WAFV-RT) to 17.5% on the commission errors of the vigilance test (WAFV-CE), which falls within the range, though at the lower end, of the estimated base rates of single PVT failures in clinical assessments of adults with ADHD reported in previous studies [22][23][24]. Estimated base rates in earlier studies varied within a broad range and are difficult to compare with each other because they seem to depend on various factors, including the specific PVT measure applied, embedded or stand-alone assessment (with higher sensitivity of stand-alone measures, see for example [24,88,89]), referral context (e.g., ADHD diagnosed or mixed neuropsychiatric samples, see for example [1]), or sample characteristics (with higher base rates in student samples, see for example [90,91]). On a cautionary note, higher rates of noncredible cognitive performance in this study compared to some of the previous research may be explained by the larger number of EVIs.…”
Section: Evi Failure Rates Per Test and Test Variablementioning
confidence: 55%
“…Failure rates per test variable ranged from 3.3% on the reaction time of the vigilance test (WAFV-RT) to 17.5% on the commission errors of the vigilance test (WAFV-CE), which falls within the range, though at the lower end, of the estimated base rates of single PVT failures in clinical assessments of adults with ADHD reported in previous studies [22][23][24]. Estimated base rates in earlier studies varied within a broad range and are difficult to compare with each other because they seem to depend on various factors, including the specific PVT measure applied, embedded or stand-alone assessment (with higher sensitivity of stand-alone measures, see for example [24,88,89]), referral context (e.g., ADHD diagnosed or mixed neuropsychiatric samples, see for example [1]), or sample characteristics (with higher base rates in student samples, see for example [90,91]). On a cautionary note, higher rates of noncredible cognitive performance in this study compared to some of the previous research may be explained by the larger number of EVIs.…”
Section: Evi Failure Rates Per Test and Test Variablementioning
confidence: 55%
“…Perseverative errors (PE) manifest when participants persist in sorting cards according to a previous rule despite a change in the rule. The proportion of perseverative errors (PPE) is calculated as the ratio of PE to the total errors made and is commonly utilized to differentiate between samples demonstrating cognitive integrity and those displaying impairment [32]. The reliability of the instrument used in this study was calculated through estimating KR-21.…”
Section: The Modi Ed Wisconsin Card Sorting Task (Mwcst)mentioning
confidence: 99%