construct.met_expectations predicts construct.voluntary_turnover
normal · informative · 3 studies · N = 21,963
Distribution
Historical evidence. This prior's contributing evidence is older than 15 years on average (centroid year 1996.22, ≈29.779999999999973 years old); treat the estimate as historical.
Intervals
- Confidence interval (95%) — uncertainty about the mean ρ
- [-0.20, -0.11]
- Credibility interval (95%) — distribution of the true effect across settings (the Bayesian prior)
- [-0.23, -0.08]
- I² (heterogeneity) — share of total variance from between-study differences
- 87% — considerable heterogeneity; moderators likely dominate
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=-0.16 (k=3, high heterogeneity (I²=0.87)); no primary-deployment evidence yet
| Source | ρ (r) | Scope |
|---|---|---|
| Published literature | -0.16 | k = 3 · N = 21,963 |
- high heterogeneity (I²=0.87)
- replication: meta-analytic
- aging literature (freshness=0.28)
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
Drop this prior straight into your model. Snippets generated from the synthesized distribution + parameters.
target += normal_lpdf(beta | -0.15668, 0.0258585);beta = pm.Normal("beta", mu=-0.15668, sigma=0.0258585)brms::prior(normal(-0.15668, 0.0258585), class = "b")# base R sample
rnorm(N, mean = -0.15668, sd = 0.0258585)np.random.normal(loc=-0.15668, scale=0.0258585, size=N)Parameters
| Family | Parameters |
|---|---|
| normal | I2 = 0.8689, mu = -0.1567, sigma = 0.02586, r_mean = -0.1554, k_studies = 3.000, tau_squared = 0.001690, fisher_z_bias = 0.02157, r_mean_bare_bones = -0.1770 |
Synthesis
- Method
- random_effects_meta
- Informativeness
- informative
- Replication status
- meta-analytic
- k_studies
- 3
- n_total
- 21,963
- Last updated
- 2026-07-16T01:07:48.494Z
Quality distribution
| Grade | Count |
|---|---|
| A | 3 |
| B | 0 |
| C | 0 |
| D | 0 |
Source articles
The research this prior is synthesized from — each is a full dossier (findings, the models it informs, and what the literature says).
Surveying the forest: A meta‐analysis, moderator investigation, and future‐oriented discussion of the antecedents of voluntary employee turnover
The effects of met expectations on newcomer attitudes and behaviors: A review and meta-analysis.
Contributing effect sizes
Effect-size detail pages land with a later sub-ticket; for now, ids link to the filtered list. Browse all rows via /registry/effects.