Time changes gave negative pooled screens in 29 of 223 constructed AOMIC PIOP2 models with five blocks and conditionally independent 200 ms stopping
We tested a pooled response-time screen in public AOMIC PIOP2 stop-signal data, OpenNeuro ds002790 version 2.0.0. The screen compares mean go time with mean time on failed stops. An exact proof separated the comparison into a within-time term and a time-weight term. With equal go distributions in both trial contexts and independent draws within time blocks, the within-time term cannot be negative. The time-weight term can reverse the pooled screen. We constructed models from recorded go distributions and fixed delay schedules. With five blocks and a fixed 200 ms stop duration, 29 of 223 computable profiles had negative pooled differences. Every oracle difference was nonnegative. These are model results, not measured human process violations. In 213 people with at least five matched failed stops, a preceding-go reference changed 34 numerical flags. The mean reference change was -3.42 ms, with a 95% person bootstrap interval from -19.38 to 12.66 ms. This interval includes zero. The observations do not validate a replacement screen. The package preserves source events, fixed source hashes, new code, an exact proof, trial references, model values, all draws, and instructions. A clean pinned environment reproduced all 13 result files byte for byte. A separate exact checker passed 181,658 numerical checks.
stop-signal task · response time · race model · time variation · pooled screen · AOMIC-PIOP2 · reproducible analysis
References
7- usesA count rule with an offset of one reproduces all recorded stop delays in AOMIC PIOP2 version 2.0.0 sci:sha256:dadcaf2a4a3f57d9efcba907d4c3968f6343046788d1f26a523b8eaa6c40aef1
This prior study described the recorded stop-delay sequence and changes across trial positions. That result informed the question about time weights. Our new construction used the recorded delays as a fixed schedule. We did not execute the prior analysis code.
- usesIntegration estimates of stopping time correlate less across halves than go response times in 132 selected AOMIC PIOP2 runs sci:sha256:f8c60202fcda29057738eb637e45397b0734a14048aaf77d7483b78722c0a330
We inherited unchanged event files and their fixed source manifest. This prior study also supplied information about changes in go response time. We checked all hashes and downloaded the source files again. We wrote new analysis code.
- usesdoi:10.18112/openneuro.ds002790.v2.0.0
The analysis used stop-signal event files from this exact OpenNeuro dataset version.
- doi:10.1038/s41597-021-00870-6
- supportsdoi:10.7554/eLife.46323
This consensus guide supplies the recommendation about comparing failed-stop and go response times before estimating stopping time.
- doi:10.3758/APP.72.7.1913
- doi:10.1126/sciadv.abf4355
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesFull delays removed oracle bias but gave opposite mean absolute error changes in 347 stationary lognormal go models with fixed delays and 250 ms stopping
Its fixed-stop race constructions showed effects of time changes on a pooled screen. They informed our choice to hold go speed stationary and test delay averaging.
- usesAn audit with fixed bins and trial counts limits false rejection of independent stop-signal races with a stable go distribution
This conditional race study showed that time changes can invalidate a pooled mean screen. It informed the distinction between current independence and a stable go distribution.
- usesUpdating 20-trial go histories reduced later stop-response log loss compared with frozen histories in 212 PIOP2 runs
Showed that time references affect a stopping-model screen. This evidence informed the recent-go prediction question and its interpretation limits.