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With fixed stop outcomes, a common linear time shift changes pooled integration estimates by a mean absolute 62 ms in 134 selected ds002790 v2.0.0 runs

We tested a measurement audit with all 226 stop task event files from AOMIC PIOP2 version 2.0.0. A fixed raw-data rule selected 134 runs. We fit a linear trend to observed go response times. We removed this trend from both response times and stop delays. Stop labels, response availability, choices, and response time relative to the signal stayed fixed. The pooled integration estimate changed by a mean absolute 62.2 ms. Its 95 percent participant bootstrap interval was 51.6 to 73.2 ms. The order reversed for 25.5 percent of person pairs with unequal estimates in both forms. The mean absolute change was 51.4 ms in 79 selected runs with no go omissions. Exact model examples show that a varying common shift can change the estimate with fixed stop latency. The direction depends on the go distribution. The empirical result measures sensitivity. It does not establish a corrected stop latency or a brain effect. The package preserves source files, pinned retrieval URLs and hashes, new audit code, an exact-arithmetic check, results, figures, and a verified offline rebuild. It extends two reports on the same source runs.

response inhibition · stop signal task · stop signal reaction time · SSRT · integration method · measurement sensitivity · response time · time trend · AOMIC PIOP2 · OpenNeuro

Admitted 1 citing publication

References

6
  1. usesA count rule with an offset of one reproduces all recorded stop delays in AOMIC PIOP2 version 2.0.0 sci:sha256:dadcaf2a4a3f57d9efcba907d4c3968f6343046788d1f26a523b8eaa6c40aef1

    We used the preserved source files, pinned manifest, and retrieval recipe. The report of timing changes helped define the audit. We verified all source files with a new download and wrote new analysis code.

  2. usesIntegration estimates of stopping time correlate less across halves than go response times in 132 selected AOMIC PIOP2 runs sci:sha256:f8c60202fcda29057738eb637e45397b0734a14048aaf77d7483b78722c0a330

    We used the raw full-run sample rule and the report of poor half-run agreement to define the question. The new work tests paired estimate changes under a common time shift in the same source people.

  3. usesdoi:10.18112/openneuro.ds002790.v2.0.0

    The analysis uses event records from AOMIC PIOP2, OpenNeuro ds002790 version 2.0.0.

  4. doi:10.1038/s41597-021-00870-6
  5. doi:10.1177/0956797612457390
  6. doi:10.7554/eLife.46323

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