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Improving validity of the trail making test with alphabet support
Therese Händel Waggestad1, Bjørn Eivind Kirsebom2,3, Carsten Strobel4
1Vestfold Hospital Trust, Tønsberg, Norway.
Frontiers in Psychology
|August 14, 2023
Summary
Adding alphabet support to the Trail Making Test (TMT) does not affect its ability to measure cognitive set-shifting in older adults. This finding supports the use of alphabet support to improve TMT validity without compromising results.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Gerontology
Background:
- The Trail Making Test (TMT) is a widely used neuropsychological assessment for evaluating cognitive decline and driving ability.
- Concerns exist regarding TMT's reliance on the Latin alphabet, potentially leading to misclassification in individuals with dyslexia or unfamiliarity with the alphabet.
- Alphabet support may enhance test validity by reducing misclassification but could also impair its sensitivity to set-shifting abilities.
Purpose of the Study:
- To compare the validity and sensitivity of the TMT with and without alphabet support.
- To determine if alphabet support impacts the measurement of executive function, specifically set-shifting, in older adults.
Main Methods:
- Two independent normative samples of Scandinavian adults aged 70-84 years were compared.
- One sample (n=220) received the TMT with alphabet support (Latin alphabet A-L on TMT-B), while the other (n=64) received the standard TMT.
- Multiple regression analysis, adjusted for age and education, was used to compare TMT-A, TMT-B, and TMT-B:A ratios between the groups.
Main Results:
- No significant differences were found in TMT-A, TMT-B, or the TMT-B:A ratio between the groups after adjusting for age and education.
- The inclusion of alphabet support did not alter performance metrics on the TMT.
Conclusions:
- Alphabet support does not significantly change the TMT's performance metrics in older Scandinavian adults.
- The findings suggest that alphabet support can be incorporated into the TMT without compromising its ability to measure set-shifting, potentially improving its validity for diverse populations.

