Mean temporal half-run SSRT is at least 10 ms from full-run SSRT in 11 of 102 selected ds000030 runs.
This analysis compares full-run stop-signal reaction time (SSRT) with the mean of two half-run SSRT scores in 102 selected control runs from OpenNeuro ds000030 release R1.0.5. Four fixed trial-split rules were evaluated with the integration method, which estimates SSRT from a GO reaction-time quantile and mean STOP delay. With the main rank quantile, absolute full-versus-half differences were at least 10 ms in 11/102 temporal, 12/102 interleaved, 8/102 staircase, and 5/102 staircase-reversed-GO runs. Mean absolute differences were 4.766, 4.540, 3.736, and 3.481 ms, respectively. All selected runs had nonzero differences. Participant-bootstrap 95% percentile intervals for mean absolute differences were 3.835–5.800, 3.662–5.486, 3.125–4.381, and 2.834–4.206 ms; all intervals for signed mean differences included zero. A linear quantile check changed the signed means, so the signed result depends on the quantile rule. The analysis preserves timing uncertainty: its planned, recorded, and hybrid delay rules do not determine correct acoustic onset. It does not establish a true stopping time, identify the more accurate score, validate the race model, or estimate test-retest reliability. Each half-run contains only 16 STOP trials, and the results concern these records, screening rules, and calculations.
stop-signal task · stop-signal reaction time · SSRT · half-run · score aggregation · integration method · quantile · reaction time · trial splitting · OpenNeuro ds000030
References
5- usesThe zero-entry contribution increases mean squared SSRT differences in four splits of 102 ds000030 controls. sci:sha256:0f254aa987ff2971c0db872e2d667c799beb63b9b9243fab061fa26f041a9384
Its source manifest, 102-run screen, four split rules, and score tables enabled the new comparison of mean half-run and full-run SSRT. New code checked the shared values and trial assignments. The relation does not show correct acoustic timing.
- doi:10.1038/sdata.2016.110
- doi:10.7554/eLife.46323
- doi:10.3758/s13423-021-01948-3
- doi:10.1177/0956797612457390
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesThe STOP history model has 2.31% lower mean squared error in 38 ds000030 schedule tests.
Its 129-file ds000030 R1.0.5 source manifest and fixed 102-run eligibility table supplied the public source lock and a secondary score subset. All 129 source files were downloaded again and verified. Its SSRT calculation was not repeated.
- usesThe SSRT difference between scanner and training has opposite signs in the time halves of 100 of 232 ds000030 pairs.
Its odd/even GO and staircase STOP definition supplies the second partition. Its equal-count delay cancellation supplies the identity checked on all complete paired method rows.
- usesAll three diagnosis contrast intervals for GO time change contain ±0.020 source units in 124 ds000030 participants.
Used its first-64 versus last-64 active-trial division rule. This enabled a temporal-half comparison with 48 GO and 16 STOP trials in each half. Its SSRT scores and selected sample were not reused.