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The 95 percent bootstrap interval included zero for ink-color Stroop prediction gain in 62 TCP test adults, assuming independent people

We tested whether first-run ink-color profiles improve prediction of second-run Stroop cell means. We used OpenNeuro ds005237 version 1.1.3. We selected 183 adults with at least two correct trials in each cell of both runs. A fixed model was fit in 121 adults and tested in 62 separate adults. The base model used mean speed and congruency. The added model also used each person's ink-color profile. Test MSE fell from 16,157.73 to 16,001.10 ms². The observed gain was 156.63 ms², or 0.97 percent. A bootstrap with 5,000 draws refit the model and resampled test people. The 95 percent gain interval was -520.56 to 709.23 ms². It included zero. This test did not establish an added prediction gain. The interval assumes independent people. It applies to selected people, one person partition, and two blocks in one session. The package preserves source files, hashes, code, trial records, predictions, bootstrap indices, results, and reproduction instructions. Independent calculations and a fresh-source rerun checked the results.

Stroop task · response time · individual differences · prediction · ink color · bootstrap interval · Transdiagnostic Connectome Project

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References

5
  1. usesA separate sequence term cannot be estimated in 445 TCP Stroop runs with unrestricted repetition pattern effects sci:sha256:d436caca7bff24bd51772094e0a3991acce8efd96de80c29c7590e44bed16db9

    This source-cohort sequence analysis informed the limits on a mechanistic interpretation of ink-color profiles. Its code and estimates are not inputs to the prediction model.

  2. usesFirst run Stroop cost lowers observed test error in 69 selected TCP adults under fixed ridge models, but the approximate 95% gain interval includes zero sci:sha256:4ba07cc6b3d685f9fef9f49f1470f67f3d4c25edea33986d7a778b46caab6e76

    This earlier TCP prediction study informed the new question. Its package supplied the pinned source files and source manifests. We independently retrieved and checked all source files. The present study uses new analysis code, a balanced nine-cell target, an ink-color predictor, and a separate person partition.

  3. usesdoi:10.18112/openneuro.ds005237.v1.1.3

    Source Stroop event tables and descriptions from OpenNeuro ds005237 version 1.1.3.

  4. supportsdoi:10.1038/s41597-025-04895-z

    Source study and task description for the Transdiagnostic Connectome Project.

  5. doi:10.3758/s13428-017-0935-1

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