Registry · Priors

construct.work_engagement predicts construct.task_performance

normal · highly_informative · 6 studies · N = 84,331

Distribution

Intervals

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

[0.42, 0.49]

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

[0.39, 0.52]

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

89%

The true effect is ~constant across settings — it generalizes.

SD_ρ≈0 — true effect is ~constant across settings; generalizes (observed-score scale until artifact correction, PRN-058)

Evidence provenance

published ρ=0.45 (k=6, high heterogeneity (I²=0.89)); no primary-deployment evidence yet

• high heterogeneity (I²=0.89)
• 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 | 0.490455, 0.0205232);

beta = pm.Normal("beta", mu=0.490455, sigma=0.0205232)

brms::prior(normal(0.490455, 0.0205232), class = "b")

# base R sample
rnorm(N, mean = 0.490455, sd = 0.0205232)

np.random.normal(loc=0.490455, scale=0.0205232, size=N)

Parameters

Synthesis

Method

random_effects_meta

Informativeness

highly_informative

Replication status

meta-analytic

k_studies

6

n_total

84,331

Last updated

2026-05-30T22:23:38.631Z

Quality distribution

Contributing effect sizes

• effect.5db04e3b482e94b1
• effect.45c48efe70bb23bc
• effect.f0e42e0f89227aef
• effect.c7f1d90a0568a88b
• effect.cf72d95eeceb9cce
• effect.ab6d3b80b5e33d1a

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