Disjoint GO and STOP inputs give an SSRT correlation difference of 0.229 in 125 ds000030 control runs.
This analysis tested whether the difference between recorded-delay and planned-delay correlations of stop-signal reaction time (SSRT) with GO response time remains when GO and STOP inputs do not overlap. In 125 complete control runs from OpenNeuro ds000030, the primary odd/even partition gave a Spearman correlation difference of 0.228848 (95% participant-bootstrap interval 0.138192 to 0.318045). Temporal and whole-staircase partitions, eligibility-screen analyses, and 200 random partitions gave differences above zero. The calculation reproduced 1,764 numeric fields and three Spearman point values from the target publication; the disjoint-input result has the same direction and does not show an error in that result. The comparison with shared STOP inputs also changes STOP count, so it does not isolate an overlap effect, and its interval does not show equivalence. These are arithmetic associations: disjoint trial inputs do not establish independent task histories, valid SSRT, correct sound onset, biological cause, or reliability between sessions. Each half has 16 STOP trials, and adaptive staircases, training carryover, time effects, and selection can affect the result.
stop-signal task · stop-signal reaction time · trial partitioning · Spearman correlation · split-half analysis
References
7- usesThe delay-field correlation difference persists with disjoint GO trials in 126 ds000030 scanner runs sci:sha256:db3d4b7a44f0dce0daac198485ca36acc7a7a3be338a3591f4676ba6ccd6c62b
We used its pinned source manifest, participant selection, and comparison tables. We reconstructed 1,764 numeric fields and three Spearman point values. Its remaining shared STOP inputs defined the new disjoint GO and STOP test. No prior code was executed.
- usesSSRT rank agreement is lower with recorded delays in two splits of 102 ds000030 controls sci:sha256:24a9839d28305476eb83ac828e48e86be3f108a54649b4d9aeec053b1c975882
We used its temporal and within-staircase alternating trial partition rules. These rules supplied disjoint 48 GO and 16 STOP inputs per half. We calculated a different endpoint: SSRT correlation with the other half GO time.
- usesdoi:10.18112/openneuro.ds000030.v1.0.0
This is the recorded version-specific DOI for the OpenNeuro ds000030 snapshot used by the publication.
- supportsdoi:10.1038/sdata.2016.110
This paper supplies the described ds000030 stop-signal task design, including its trial and staircase structure.
- supportsdoi:10.7554/eLife.46323
This consensus guide supplies the cited integration-method guidance and the stated minimum STOP-trial recommendation.
- doi:10.3389/fpsyg.2012.00037
- doi:10.3758/s13423-021-01948-3
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