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Jacques Arrieux, Brian Ivins, M Victoria Ingram, Stephanie Sloley, A psychometric comparison of automated neuropsychological assessment metrics with laptop and tablet administration, Archives of Clinical Neuropsychology, Volume 41, Issue 4, June 2026, acag031, https://doi.org/10.1093/arclin/acag031
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Abstract
Determine whether Automated Neuropsychological Assessment Metrics administered with laptop and tablet platforms produces comparable scores. The study quantified the direction and magnitude of differences using a clinically relevant analytical approach.
Randomized, within-subjects, counterbalanced, repeated-measures study with 302 active-duty service members. Participants completed the 10-subtest battery in two consecutive sessions (Tablet–Laptop, Laptop–Tablet, Tablet–Tablet, and Laptop–Laptop). Analyses included between-group comparisons, within-subject change, and Reliable Change Index base rates.
Laptop scores were significantly higher than tablet scores on 9 of 10 subtests, with effect sizes from d = 0.11 to 1.15. Within-subjects analyses indicated a consistent pattern of performance declines in the Laptop–Tablet Group and improvements in the Tablet–Laptop Group. Reliable Change Index base rates showed that 73% of participants in the Laptop–Tablet Group reliably declined on ≥2 subtests versus 10% in the Tablet–Laptop Group. After correcting tablet controller timing artifacts, effects on fast reaction time (RT) tasks were substantially attenuated, while effects on learning-, memory-, and accuracy-based subtests remained significant with large effect sizes. The Laptop–Tablet Group decline rate decreased from 73% to 57% but remained 4 times the same-platform reference rate.
Tablet and laptop scores may not be interchangeable. Hardware timing corrections attenuated effects on fast RT subtests but did not reduce effects on accuracy-based measures, indicating factors beyond RT measurement error contribute to cross-platform differences. Interpreting tablet-based administration with laptop-based normative data or baselines could misclassify examinees. Until validated tablet-specific interpretive criteria are established, cross-platform comparisons should be avoided.