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One delay coefficient from 0 to 1 gives 35 possible highest score group members in 102 selected ds000030 runs.

In 102 selected stop-signal task runs from OpenNeuro ds000030, participant scores were recalculated with one shared coefficient interpolating between two recorded delay fields. The two endpoint rankings gave 34 possible members of the 26-person highest-score group, while all coefficients from 0 to 1 gave 35 possible members; 18 participants were members at every coefficient. The model produced 1,122 distinct score crossings and 11 different highest-score groups. For 36 participants, an intermediate rank fell outside the range bounded by their endpoint ranks, by up to four positions. Secondary zero-only and 126-run variants are reported. These are numerical sensitivity results under a shared-coefficient assumption. They do not establish physical sound onset, biological stopping ability, population uncertainty, or individual estimate precision. Each run contains 32 STOP trials, and the analysis plan followed exploratory analysis.

stop-signal task · stop-signal reaction time · reaction time · rank sensitivity · delay fields · behavioral data · reproducible research

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References

4
  1. usesThe score sequence can change for 1,883 of 5,151 pairs in 102 selected ds000030 participants. sci:sha256:abb808fd868959681d5a8a50382da0a8e2112ae1d0be770fb88f63e27d1537d7

    I used the target source checksums, selection conditions, and score table. These let me calculate and check ranks with one coefficient in all STOP records.

  2. usesdoi:10.18112/openneuro.ds000030.v1.0.0

    This analysis uses the recorded ds000030 stop-signal task observations from snapshot 1.0.0.

  3. doi:10.1038/sdata.2016.110
  4. doi:10.7554/eLife.46323

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