Turnover Intention
Every factor researchers have brought together to explain turnover intention, combined from 16 study models into one ranked driver set — the model the priority engine reasons over.
30 drivers · 16 contributing models · Handbook entry →
§1The drivers, by consensus
Ranked by how many independent models include each driver (consensus), then pooled effect. “In N of 16” 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.
“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:10.1108/k-01-2022-0119 | 5 | A |
| doi:10.3389/fpubh.2025.1642843 | 4 | A |
| doi:10.1111/j.1744-6570.2005.00672.x | 3 | A |
| doi:10.1177/1059601107313307 | 3 | A |
| doi:10.1002/nop2.872 | 3 | B |
| doi:10.1111/j.1744-6570.1993.tb00874.x | 2 | A |
| doi:10.15240/tul/001/2020-1-007 | 2 | A |
| doi:10.1155/2023/3356620 | 2 | B |
| doi:10.1037/a0018938 | 2 | B |
| doi:10.3389/fpsyg.2022.872568 | 2 | A |
| doi:10.1016/j.tate.2021.103425 | 2 | B |
| doi:10.1006/jvbe.2001.1842 | 2 | A |
| doi:10.1037/0021-9010.86.3.425 | 2 | A |
| doi:10.1111/jan.14846 | 2 | B |
| doi:10.1037/a0022170 | 2 | A |
| doi:10.1186/s12912-023-01496-2 | 2 | A |