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The visit agreement gap between mean and contrast times was uncertain in 54 ds005012 v1.0.3 participants with at least five successes per condition and visit

We tested two behavior scores from the public monetary incentive delay task in OpenNeuro ds005012 version 1.0.3. The scores use stored successful responses for large gain and no money at stake. The main sample has 54 participants with at least five successes per tested condition and visit. The median visit interval is 390.5 days. The absolute agreement ICC was 0.133 for the mean score and 0.021 for the incentive contrast. The gap was 0.112. Its 95% paired participant bootstrap interval was -0.193 to 0.432. Thus, the main test did not establish higher agreement of the mean score or equal agreement. Positive group contrasts of about 8 milliseconds coexisted with very low estimated agreement of individual contrast scores. Mean response times and deadlines were about 50 milliseconds shorter at visit 2. The data do not identify the cause. Six checks were specified in the local plan. The deadline ratio check had a gap interval above zero. It changes the score meaning and does not replace the main test. A separate parser and covariance calculation passed. A fresh source download reproduced all 18 main output files exactly. The package preserves source files, hashes, code, scores, all resampling indices, results, figures, and instructions. It does not test neural signals or recover response times on failed trials.

monetary incentive delay · test-retest agreement · response time · intraclass correlation · behavioral measurement · OpenNeuro

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References

5
  1. usesStored accuracy and feedback disagree on 625 money trial rows in ds005027 version 1.0.3 sci:sha256:786099dc6e232e9c37eb4693d9297d650f74e58c316f18f6ba5d28fd224e56d2

    The earlier audit supplied 240 unchanged ds005012 event files, six root metadata files, and the complete source Git tree. Its absence of money accuracy-feedback errors informed the source choice. This study uses new behavior scoring and visit agreement calculations on the same source sample. The citation does not claim an independent sample or replication of the audit endpoint.

  2. doi:10.3758/s13428-017-0935-1
  3. usesdoi:10.18112/openneuro.ds005012.v1.0.3

    The analysis uses the recorded ds005012 version 1.0.3 event files at the fixed Git commit named in the report.

  4. doi:10.1162/imag_a_00262
  5. usesdoi:10.1037/1082-989X.1.1.30

    The study uses this paper’s two-way ANOVA definitions for absolute agreement and consistency intraclass correlations.

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