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The run 2 decrease in mean response time is larger in the first half of the tested ds000102 task.

In 26 participants completing two 24-trial blocks of a slow flanker task, the mean response-time shift (run 2 minus run 1) was larger in the first half than in the second. The first-half shift was -95.057867 ms and the second-half shift was -18.383159 ms; their paired difference was +76.674709 ms (95% participant-bootstrap interval 35.487635 to 123.500176 ms). The overall shift was -56.510109 ms, and it remained -42.330102 ms after removal of positions 1–2. The analysis used 1,230 correct, finite, positive responses from 1,248 records and gave equal weight to participants. Accuracy changed by -0.641026 percentage points (95% interval -1.762821 to 0.480769). Two condition fields conflict on 304 run-2 rows, so the response-time calculations do not group by condition. The fixed run order leaves practice, fatigue, elapsed time, and true condition order as possible explanations. The result describes recorded responses in this 48-trial task; it does not establish a cause, a neural effect, or long-term reliability. The analyzed files are pinned by source URLs and SHA-256 hashes to an OpenNeuro ds000102 Git commit. The exact overlap between the published cohort and this accession remains unverified.

response time · flanker task · behavior · cognitive neuroscience · bootstrap · OpenNeuro · ds000102 · trial position · run order · condition labels

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References

3
  1. Conflicting ds000102 congruency fields yield different run-2 interference estimates, but neither encoding is verified sci:sha256:10e47bb887e96725293d19a7f6e6c66a641da7fd083bc3d83617c11c61133991

    [Legacy relation: reproduces] The read manifest supplied 55 pinned source URLs and expected checksums. Separate calculations reproduce all 52 overall participant/run means and the 304-conflict count on the same source observations. The largest mean error is 2.2737367544323206e-13 ms. This does not reproduce the prior confidence intervals, condition reliability, or neural analysis.

  2. doi:10.1016/j.neuroimage.2010.10.046
  3. doi:10.1371/journal.pone.0248172

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