construct.job_satisfaction predicts construct.turnover_intention
normal · informative · 3 studies · N = 312,361
Distribution
Intervals
- Confidence interval (95%) — uncertainty about the mean ρ
- [-0.58, -0.45]
- Credibility interval (95%) — distribution of the true effect across settings (the Bayesian prior)
- [-0.59, -0.44]
- I² (heterogeneity) — share of total variance from between-study differences
- 35% — moderate heterogeneity
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=-0.52 (k=3, replication: meta-analytic); no primary-deployment evidence yet
| Source | ρ (r) | Scope |
|---|---|---|
| Published literature | -0.52 | k = 3 · N = 312,361 |
- 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
Drop this prior straight into your model. Snippets generated from the synthesized distribution + parameters.
target += normal_lpdf(beta | -0.573106, 0.0444473);beta = pm.Normal("beta", mu=-0.573106, sigma=0.0444473)brms::prior(normal(-0.573106, 0.0444473), class = "b")# base R sample
rnorm(N, mean = -0.573106, sd = 0.0444473)np.random.normal(loc=-0.573106, scale=0.0444473, size=N)Parameters
| Family | Parameters |
|---|---|
| normal | I2 = 0.3492, mu = -0.5731, sigma = 0.04445, r_mean = -0.5176, k_studies = 3.000, tau_squared = 0.002684, fisher_z_bias = 0.002359, r_mean_bare_bones = -0.5200 |
Synthesis
- Method
- random_effects_meta
- Informativeness
- informative
- Replication status
- meta-analytic
- k_studies
- 3
- n_total
- 312,361
- Last updated
- 2026-07-16T01:05:54.234Z
Quality distribution
| Grade | Count |
|---|---|
| A | 2 |
| B | 1 |
| 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).
JOB SATISFACTION, ORGANIZATIONAL COMMITMENT, TURNOVER INTENTION, AND TURNOVER: PATH ANALYSES BASED ON META‐ANALYTIC FINDINGS
Towards an understanding of teacher attrition: A meta-analysis of burnout, job satisfaction, and teachers’ intentions to quit
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.