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Utility of the D-KEFS Color Word Interference Test as an embedded measure of performance validity
Graham M L Eglit1, Sarah M Jurick1,2, Dean C Delis3
1Veteran Affairs San Diego Healthcare System, San Diego, CA, USA.
The Clinical Neuropsychologist
|July 30, 2019
Summary
The D-KEFS Color Word Interference Test (CWIT) can identify invalid performance. A new cutoff score of 18 or less on all CWIT conditions effectively detects invalid testing in most non-demented individuals.
Area of Science:
- Neuropsychology
- Cognitive Assessment
- Performance Validity
Background:
- The D-KEFS Color Word Interference Test (CWIT) is a common measure for processing speed and executive functions.
- Previous studies suggest CWIT may detect invalid performance.
- There is a need for reliable embedded validity measures within the CWIT.
Purpose of the Study:
- To develop and evaluate new embedded performance invalidity measures for the CWIT.
- To assess previously proposed CWIT embedded validity measures.
- To examine the resilience of these measures against age and neurocognitive impairment.
Main Methods:
- Evaluated newly developed and existing CWIT embedded validity measures.
- Utilized three samples: traumatic brain injury (TBI), D-KEFS normative, and Parkinson's disease.
- Stratified samples by age and cognitive status (normal, MCI, dementia) to test measure robustness.
Main Results:
- Newly developed measures from the TBI sample showed resilience to age and non-dementia related cognitive impairment.
- A cutoff score of ≤18 on the sum of age-corrected scaled scores across all four CWIT conditions demonstrated the highest classification accuracy.
- Previously proposed cutoffs yielded high false-positive rates in TBI and normative/clinical samples.
Conclusions:
- A CWIT score of ≤18 on the sum of all conditions is an optimal cutoff for detecting performance invalidity.
- This cutoff is particularly effective in non-demented populations.
- The findings support the use of this specific CWIT score for enhancing the validity of cognitive assessments.
Keywords:
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