Registry · Priors

construct.organizational_commitment correlates construct.turnover_intention

normal · weakly_informative · 5 studies · N = 49,045

Distribution

Weakly informative prior. This prior is weakly informative. It will nudge your posterior but won't overwhelm it; expect data to do most of the work in modest samples.

Intervals

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

[-0.64, -0.28]

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

[-0.75, -0.06]

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

100% — the contributing studies disagree almost completely; read the pooled value as a midpoint of conflicting findings, not as one population's effect

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=-0.48 (k=5, high heterogeneity (I²=1.00)); no primary-deployment evidence yet

• high heterogeneity (I²=1.00)
• replication: meta-analytic
• aging literature (freshness=0.49)

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 | -0.52155, 0.119931);

beta = pm.Normal("beta", mu=-0.52155, sigma=0.119931)

brms::prior(normal(-0.52155, 0.119931), class = "b")

# base R sample
rnorm(N, mean = -0.52155, sd = 0.119931)

np.random.normal(loc=-0.52155, scale=0.119931, size=N)

Parameters

Synthesis

Method

random_effects_meta

Informativeness

weakly_informative

Replication status

meta-analytic

k_studies

5

n_total

49,045

Last updated

2026-07-16T01:08:38.556Z

Quality distribution

Source articles

The research this prior is synthesized from — each is a full dossier (findings, the models it informs, and what the literature says).

Contributing effect sizes

• effect.1bc49202969e0252
• effect.2622409e5f48c5d3
• effect.7ecf09ee35fe687b
• effect.a7e280c7d612b367
• effect.b1d66b7b8091befa

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