Procedural Justice
the perceived fairness of the procedures used to decide outcomes
§1The Principia rendering
A copyright-clean measure of this construct, authored by Principia and free to use — the one we can show in full.
Predicted psychometrics. These 9 items carry a design grade of A (avg design score 91/100) from the item-design model — an estimate pending calibration, not a measured reliability. Real responses (via deployment) sharpen it toward measured, which is what the licensing model collects.
How it’s measured operationally
Beyond survey measurement, this construct is also tracked as an operational metric from records:
Mean of procedural justice item scores · score§3The math on what we know
Synthesized priors from the live registry: pooled r, studies (k), total N, top study grade, and heterogeneity. Rows flagged for heterogeneity or single-study evidence are directional, not settled — read them as a central tendency.
What drives procedural justice
| Predictor | r | k | N | Grade | Confidence |
|---|---|---|---|---|---|
| Pay For Performance | +0.34 | 1 | 5,624 | A | single study |
What procedural justice predicts
| Outcome | r | k | N | Grade | Confidence |
|---|---|---|---|---|---|
| Job Satisfaction | +0.62 | 1 | 31,774 | A | single study |
| Trust In Organization | +0.61 | 1 | 4,522 | A | single study |
| Organizational Commitment | +0.57 | 1 | 33,455 | A | single study |
| Turnover Intention | −0.45 | 2 | 24,323 | A | coherent |
| Task Performance | +0.29 | 3 | 26,709 | A | I²≈0.99 |
| Organizational Citizenship Behavior OCB | +0.25 | 2 | 6,790 | A | — |
§4As a model node
Where procedural justice sits when you drop it into a model — what feeds it, what it moves. Read left to right as a small, actionable causal claim.
Inputs (drivers)
- Pay For Performance+0.34
Outputs (outcomes)
- Job Satisfaction+0.62
- Trust In Organization+0.61
- Organizational Commitment+0.57
- Turnover Intention−0.45