The ds003823 95 percent age contrast interval included zero for ordered emotional recognition with person and shared picture draws
We tested an age contrast in emotional recognition in OpenNeuro ds003823, release 1.3.5. The study used 105 younger adults, 60 older adults, and 72 shared picture IDs. We assumed the response order Remember > Know > New. The older minus younger contrast in positive minus negative AUC was -0.010333. Its 95 percent resampling interval was -0.056191 to 0.033933 when both people and shared pictures varied. The interval did not establish a larger older score or equivalence. Shared picture and person draws increased bootstrap standard deviation by 59.37 percent compared with person draws alone. This is a reanalysis of one cohort. The package provides a reusable score function, a proof, source tables, provenance, draw counts, and independent checks. A fresh-source rerun matched all 57 main result files by hash.
emotional recognition · ordered AUC · age contrast · shared pictures · crossed bootstrap · heart rate variability · OpenNeuro ds003823
References
6- usesUniform picture resampling increased bootstrap standard deviation by 63% for the ds003823 HRV group false alarm valence contrast sci:sha256:3f068087f85af7bcb2f1e3384ec6527345ae6ee092606f21e8234de42125eb08
This prior analysis supplied the pinned source subset, source manifest, and retrieval code. It also motivated shared picture draws. We downloaded the source again and wrote new ordered AUC and age contrast code. We did not use its result scores. This is the same cohort, not an independent sample.
- usesdoi:10.18112/openneuro.ds003823.v1.3.5
The analysis used the 165 available recognition tables in this exact OpenNeuro release; source files, URLs, and hashes are preserved.
- doi:10.1038/s41597-023-02396-5
- doi:10.1007/s10484-023-09579-1
- doi:10.1214/07-AOAS122
- supportsdoi:10.1214/12-AOAS547
This work is cited for prior theory about variance in crossed-data bootstrap estimates under stated conditions; it does not establish coverage for this nonlinear interval.
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