Registry · Priors

construct.general_mental_ability_gma predicts construct.task_performance

normal · informative · 4 studies · N = 75,953

Distribution

Intervals

Confidence interval (95%) — uncertainty about the mean ρ

[0.20, 0.52]

Credibility interval (95%) — distribution of the true effect across settings (the Bayesian prior)

[0.04, 0.62]

I² (heterogeneity) — share of total variance from between-study differences

100%

The true effect varies across settings — moderators likely matter.

SD_ρ>0 — true effect varies across settings; likely moderated (observed-score scale until artifact correction, PRN-058)

Evidence provenance

published ρ=0.37 (k=4, high heterogeneity (I²=1.00)); no primary-deployment evidence yet

• high heterogeneity (I²=1.00)
• replication: meta-analytic

No primary-deployment evidence yet — this prior rests on published literature alone. As anonymized, aggregated effect sizes from real deployments are contributed, they appear here as a distinct, publication-bias-free source, fused with the literature into a posterior estimate.

Code

target += normal_lpdf(beta | 0.388245, 0.0935704);

beta = pm.Normal("beta", mu=0.388245, sigma=0.0935704)

brms::prior(normal(0.388245, 0.0935704), class = "b")

# base R sample
rnorm(N, mean = 0.388245, sd = 0.0935704)

np.random.normal(loc=0.388245, scale=0.0935704, size=N)

Parameters

Synthesis

Method

random_effects_meta

Informativeness

informative

Replication status

meta-analytic

k_studies

4

n_total

75,953

Last updated

2026-05-30T22:53:21.393Z

Quality distribution

Contributing effect sizes

• effect.e30c5f06cf99d232
• effect.9779a6791145e93d
• effect.8d40f90298ab312e
• effect.2fe419c0ad4f44cb

Effect-size detail pages land with a later sub-ticket; for now, ids link to the filtered list. Browse all rows via /registry/effects.