HMeta-d's false positive rate depends on study design and prior specification: independent group priors inflate it, priors on the group difference fix it, and default priors for continuous predictors yield a rate below 5%¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr2·q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person · recheck by 2026: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? For group designs, HMeta-d's false positive rate exceeds 5% with independent priors on both groups but is adequate when a prior is placed on the between-group difference. → Manuel Rausch 2023
q2 i? For continuous predictor variables, HMeta-d with default priors yields a false positive rate below 5%, while close-to-flat priors give a rate not distinguishable from 5%. → Manuel Rausch 2023 (2)
Evidence¶
Manuel Rausch 2023¶
Manuel Rausch, Michael Zehetleitner. (2023). Evaluating false positive rates of standard and hierarchical measures of metacognitive accuracy. Metacognition and Learning. https://doi.org/10.1007/s11409-023-09353-y
q2 · i? · causal · r2
Simulation of two-group comparisons via hierarchical resampling from the confidence database; HMeta-d was run with independent group priors versus priors on the group difference, with false positives defined as 95% credible intervals excluding zero.
"There was extremely strong evidence that the false positive rate is larger than 5% for HMeta-d when independent priors were placed on both groups. However, when a prior was placed on the difference between groups in terms of meta-d′/d′, there was a moderate amount of evidence that the false positive rate is 5%."
Manuel Rausch 2023 (2)¶
Manuel Rausch, Michael Zehetleitner. (2023). Evaluating false positive rates of standard and hierarchical measures of metacognitive accuracy. Metacognition and Learning. https://doi.org/10.1007/s11409-023-09353-y
q2 · i? · design · r2
Simulations with a randomly sampled continuous between-subject predictor tested HMeta-d under three hyperprior sets (standard, close-to-flat, narrow); default priors produced a below-5% rate, and stronger priors produced an even smaller rate.
"We also found strong evidence that HMeta-d using default priors is associated with a false positive rate below 5%."
Discussion¶
Related Claims¶
- Logistic mixed-model regression of confidence on accuracy shows dramatically inflated false positive rates when random slopes are omitted, but an adequate rate when random slopes are included — related
- T-testing raw meta-d′/d′ or meta-da/da yields a false positive rate below 5%; log transformation or the Mann–Whitney U-test restores an adequate rate — related
- Summary-statistic measures of metacognitive accuracy (gamma, type 2 ROC, meta-d′, meta-da) maintain a false positive rate consistent with the nominal 5% alpha level in group comparisons — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
hmeta-d-false-positive-rate-prior-dependent |
title |
HMeta-d's false positive rate depends on study design and prior specification: independent group priors inflate it, priors on the group difference fix it, and default priors for continuous predictors yield a rate below 5% |
description |
HMeta-d's false positive rate depends on study design and prior specification: independent group priors inflate it, priors on the group difference fix it, and default priors for continuous predictors yield a rate belo... |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
recheck_by |
2026 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — manuel-rausch-2023, manuel-rausch-2023-2 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.