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Congruency sequence and category repetition interactions were identical in 207 AOMIC PIOP1 v2.0.0 gender Stroop designs with shared timing and a common linear transform

We tested whether public gender Stroop schedules can separate a congruency sequence interaction from an image-category by word-category repetition interaction. The source was AOMIC PIOP1, OpenNeuro ds002785 version 2.0.0. All 19,665 adjacent pairs in 207 available runs obeyed an exact binary identity. Shared event timing and a common linear signal transform preserved it. Separate coefficients were not estimable in any of 1,242 tested trial and constructed scan models. Their sum was estimable in every complete scheduled model. Removal of both category repetitions left no cI or iC pairs. A secondary response time analysis in 198 eligible people gave a mean sequence score of 21.954 ms and a 95% person bootstrap interval of 9.847 to 34.227 ms. This association does not identify a control mechanism. The binary feature concern is established knowledge. This method package adds a complete source-specific audit, exact null vectors, and a reusable contrast check tool. It preserves source files, fixed retrieval records, every matrix, code, results, and instructions. A fresh source replay matched all 1,476 numerical files byte for byte. We did not analyze measured brain images.

congruency sequence effect · feature integration · estimability · design audit · Stroop task · AOMIC PIOP1 · linear models · response time

Admitted 3 citing publications

References

4
  1. usesResponse time cost correlates less between halves than mean response time in 195 selected AOMIC PIOP1 gender Stroop runs sci:sha256:b14634b59274ed3d8fa6ff30b0cf63af0a190dd007f6d7c2badc9cff0cf88412

    This earlier study supplied the task path, fixed source commit, and expected availability of 207 event files among 216 people. We retrieved all sources directly and compared successful source hashes with its archive manifest. All 213 successful hashes matched. We did not use its source code or derived scores. This audit tests a new endpoint in the same public task sample.

  2. usesdoi:10.18112/openneuro.ds002785.v2.0.0

    The analysis used AOMIC PIOP1 event schedules from OpenNeuro ds002785 v2.0.0; the saved source records pin retrievals to its resolved commit.

  3. doi:10.1037/a0038073
  4. doi:10.1038/s41597-021-00870-6

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