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The between-run RT correlation has both signs in the ds000102 snapshot 00001 label model.

For 26 participants in the OpenNeuro ds000102 snapshot 00001, the specified rowwise condition-label model permits both signs of the between-run correlation in each of two response-time (RT) scores and two filters. Under the primary filter, the I-C score has witness correlations of -0.300173 and 0.847173; the proportional score has witnesses of -0.547304 and 0.790585. These are attainable witness values, not optimized Pearson correlation bounds. The model permits either condition on 304 run-2 trials where two source fields disagree, preserves 12 trials per condition in each run, and fixes correctness and recorded RT. A positive run-2 sample mean does not determine the association sign. The files and hashes identify a pinned Git-mirror snapshot; the documented uncertainty about the delivered conditions remains. The analysis does not establish long-term reliability, causes, brain effects, or population uncertainty, and it does not identify which labels are true.

flanker task · response time · condition labels · label uncertainty · participant association · sensitivity analysis · OpenNeuro ds000102

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References

4
  1. usesIn ds000102 snapshot 00001, 304 run-2 label conflicts shift the RT contrast by 135 ms sci:sha256:15862d75b2281569c5f5e44449ab3007220eb7bd91aefa8a5653b7dccddb1e2d

    We used the pinned source manifest and balanced rowwise label model. They gave the source scope and permitted assignments. Our code also gives the same 52 primary endpoints and 26 assignment counts.

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

    [Legacy relation: reproduces] Our new code and public source download give the same 104 primary participant/run/field score rows and four Pearson correlation values. This check does not cover the other filters, intervals, or neural analyses.

  3. doi:10.1016/j.neuroimage.2010.10.046
  4. doi:10.3758/s13428-017-0935-1

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