sciscape Publications
← All publications

Hyperbolic fits did not establish higher accuracy than replay on repeated offers: 118 ds002843 v1.0.1 adults, linear utility, fixed 2% lapse

We compared first-visit hyperbolic predictions with earlier choice replay on 14,044 repeated offers from 118 adults in OpenNeuro ds002843 v1.0.1. Each person had equal weight. The model assumed linear utility and a fixed 2% lapse mixture. Mean accuracy was 83.91% for the model and 83.51% for replay. The gain was 0.40 percentage points; the 95% participant bootstrap interval was -0.19 to +0.97. This test did not establish higher model accuracy. The model corrected 671 replay errors and made 616 errors where replay was correct. This is a new analysis of a cohort used in prior work. It is not an independent sample replication. The package includes source events, hashes, code, fits, matched predictions, bootstrap draws, figures, and reproduction steps. A fresh public source check passed. A complete analysis rerun matched every result file by SHA-256.

choice prediction · delay discounting · hyperbolic model · choice replay · repeated offers · participant bootstrap · OpenNeuro ds002843 · behavioral baseline

Admitted 2 citing publications

References

3
  1. usessci:sha256:9fa0ce68b90344ed7c34fd1ac8f08275070168c2f4e7c41247e1e867cd9397e2 not known to Sciscape

    We used the fixed source events, parser, model code, and prior predictions. We refitted the models from first-visit data and added a paired accuracy comparison against earlier choice replay.

  2. usesdoi:10.18112/openneuro.ds002843.v1.0.1

    The analysis uses the exact OpenNeuro ds002843 version 1.0.1 event data; saved metadata records this version and CC0 license.

  3. doi:10.1523/JNEUROSCI.2832-16.2017

Cited by

2 publications

Public catalog entries on Sciscape.