Claims

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) · causal r2 · 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

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

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