Quality of hire
Every factor researchers have brought together to explain quality of hire, combined from 2 study models into one ranked driver set — the model the priority engine reasons over.
7 drivers · 2 contributing models · Handbook entry →
§1The drivers, by consensus
Ranked by how many independent models include each driver (consensus), then pooled effect. “In N of 2” is a robustness signal — a driver in many models is one many researchers agreed matters; a driver in one is a single lead worth following.
| Driver | Consensus | Pooled r | Grade | Heterogeneity |
|---|---|---|---|---|
| Structured Employment Interviews | 1 / 2 | +0.44 | A | — |
| Structured Interviews | 1 / 2 | +0.42 | A | — |
| Biographical Data Measures Biodata | 1 / 2 | +0.38 | A | — |
| Unstructured Employment Interviews | 1 / 2 | +0.33 | A | — |
| General Mental Ability GMA | 1 / 2 | +0.31 | A | — |
| Integrity | 1 / 2 | +0.31 | A | — |
| Conscientiousness | 1 / 2 | +0.19 | A | — |
“Pooled r” is the meta-analytic prior where one exists; drivers marked study-reported have a model but not yet a pooled prior — a concrete acquisition target. This is the value-of-information view in miniature: the priority engine can rank which driver to measure first by consensus, strength, and how much is still unknown.
§2The models it’s built from
Each contributing study model — the researcher’s theory of this outcome — with its size and grade, so the meta-model is auditable back to its sources.
| Source study | Predictors | Grade |
|---|---|---|
| doi:10.1037/apl0000994 | 5 | A |
| doi:10.1037/0021-9010.79.4.599 | 2 | A |