With a common event transform, a joint linear model cannot separate congruency sequence and category repetition interactions in 207 ds002785 version 2.0.0 gender Stroop runs
This study tested two interaction terms in the AOMIC PIOP1 gender Stroop task. The terms describe congruency sequence and joint face and word category repetition. They were equal in all 19,665 adjacent pairs from 207 available runs in OpenNeuro ds002785 version 2.0.0. The stated seven-column joint linear model had rank six in every run. A proof shows that a common event transform preserves the equality. Only the sum of the two interaction coefficients can have an estimate without an added restriction. A response-time analysis of 191 participants gave a mean sequence contrast of 17.9 ms. The 95 percent participant bootstrap interval was 6.9 to 29.2 ms. This contrast does not identify a cognitive cause. The result concerns recorded categories, not exact face or word repetition. The package preserves source events, a reusable audit tool, the proof, provenance, results, and reproduction instructions. Independent checks used Boolean logic and exact arithmetic. A second complete offline analysis reproduced all 15 output files byte for byte.
congruency sequence · category repetition · linear model · rank deficiency · Stroop task · response time · AOMIC PIOP1 · OpenNeuro
References
4- usesdoi:10.18112/openneuro.ds002785.v2.0.0
This analysis used all 207 available gender Stroop event files from AOMIC PIOP1, OpenNeuro ds002785 version 2.0.0.
- doi:10.1038/s41597-021-00870-6
- doi:10.1371/journal.pone.0102337
- doi:10.3758/s13414-020-02021-2
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2 publicationsPublic catalog entries on Sciscape.
- usesRemoving shared color names creates a negative Stroop contrast under a stated group-cost model
Its binary gender Stroop rank and repetition audit prompted a test of sequence selection in an eight-color task. The present audit checks whether removal changes the mix of group transitions while retaining all four sequence cells. We used this prior result as motivation. We did not use its data or code and did not reproduce its rank result.
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Its two-choice gender Stroop result motivated checks of feature transitions and model rank in this separate eight-color task. This study uses new data and code. It does not repeat that earlier empirical result.