The complete model

Burnout

Every factor researchers have brought together to explain burnout, combined from 5 study models into one ranked driver set — the model the priority engine reasons over.

16 drivers · 5 contributing models · Handbook entry →

§1The drivers, by consensus

Ranked by how many independent models include each driver (consensus), then pooled effect. “In N of 5” 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.

DriverConsensusPooled rGradeHeterogeneity
Neuroticism1 / 5+0.64A
Thriving1 / 5−0.53A
Autonomy1 / 5−0.47AI²≈0.96
Employee Well Being1 / 5−0.45C
Need Satisfaction1 / 5−0.43A
Work Family Conflict1 / 5+0.38A
Work Interference With Family Wif1 / 5+0.38B
Conscientiousness1 / 5+0.35A
Agreeableness1 / 5+0.35A
Extraversion1 / 5+0.33A
Competence1 / 5−0.30A
Hindrance Demands1 / 5+0.30A
Job Demands1 / 5+0.27A
Job Resources1 / 5−0.27A
Openness To Experience Measures1 / 5+0.24A
Challenge Demands1 / 5+0.16A

“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 studyPredictorsGrade
doi:10.1186/s40359-023-01056-y5A
doi:10.1037/a00193644A
doi:10.1177/01492063166320583A
doi:10.1037/a00221702A
doi:10.1002/job.23752A
Composed live from the registry. The complete model is the union of all study-level models of this outcome; study-level models are derived from the effect corpus and re-derived every loop cycle.