The nearer and earlier class coefficients are more than 0 ms after schedule adjustment in 89 ds000030 participants.
In 89 participants from OpenNeuro ds000030 version 1.0.0, two reaction-time changes after failed STOP trials had positive coefficients for recorded stop-delay classes after additive participant and schedule-position adjustment. The nearer change coefficient was 81.36 ms (95% schedule-bootstrap interval 34.76 to 115.69); the earlier change coefficient was 79.11 ms (24.63 to 122.85). The before-change interval included zero. The analysis used 427 windows in 29 schedules and resampled full schedules 10,000 times. Its intervals assume independent, exchangeable schedule groups conditional on selected windows; population coverage is unknown, and only 19 schedules supplied class information. The findings do not establish biological cause, stop-sound delivery, or stopping latency. Adaptive delay, timing error, participant-state change, and selection for correct GO responses may remain sources of error.
reaction time · stop-signal task · schedule adjustment · weighted least squares · schedule bootstrap · neuropsychology
References
6- Both GO baselines give a positive mean difference between STOP classes in 89 ds000030 participants. sci:sha256:c85054796ab88584a69be538491379d88ec25b5adc7d5bd9b4196b70df188168
[Legacy relation: reproduces] Its package supplies the pinned raw source bytes and fixed sample. New code reproduces all 427 window keys, class counts, and 89 participant point values. It gives the same group point values within 1e-8 ms. This relation concerns point calculations. Its participant bootstrap was not repeated. No published code ran.
- usesTask schedule data predict later trial labels with 99.72% accuracy in 266 ds000030 participant tests sci:sha256:733489c123245d526f3cd87587b12f370ddafc90ab5ca45176a3221841a383d3
Its inspected definition of repeated nominal schedules determines the exact schedule grouping used here. This enabled schedule cell constants, complete schedule resampling, and the audit of class information. Its prediction code and outputs were not used.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
The selected reaction-time event files and participant metadata are from this exact OpenNeuro version; source hashes and Git commit are recorded in the original source manifest.
- doi:10.1038/sdata.2016.110
- doi:10.1016/j.jmp.2012.04.001
- doi:10.3758/s13428-021-01631-4
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesThe linear time forecast gives a larger mean absolute GO error in all 89 selected ds000030 participants.
Its read schedule-adjustment result and stated state-history gap supplied the reason for a separate time-trend test. This enabled the question choice. Its schedule-adjusted coefficients did not enter the calculation.