The complete model

Job Satisfaction

Every factor researchers have brought together to explain job satisfaction, combined from 15 study models into one ranked driver set — the model the priority engine reasons over.

42 drivers · 15 contributing models · Handbook entry →

§1The drivers, by consensus

Ranked by how many independent models include each driver (consensus), then pooled effect. “In N of 15” 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
Autonomy2 / 15+0.59AI²≈1.00
Servant Leadership2 / 15+0.58AI²≈0.99
Need Satisfaction1 / 15+0.63AI²≈1.00
Organizational Justice1 / 15+0.62A
Procedural Justice1 / 15+0.62A
Employee Engagement Score1 / 15+0.60A
Work Engagement1 / 15+0.57AI²≈0.98
Distributive Justice1 / 15+0.56A
Job Resources1 / 15+0.56A
Person Job Fit1 / 15+0.56A
Organizational Learning1 / 15+0.52B
Perceived Supervisor Support1 / 15+0.52A
Relatedness1 / 15+0.52A
Supervisor Support Ss1 / 15+0.52A
Authentic Leadership1 / 15+0.51A
Competence1 / 15+0.50A
Ethical Leadership1 / 15+0.50B
Role Conflict1 / 15−0.48A
Performance Feedback1 / 15+0.46AI²≈1.00
Task Variety1 / 15+0.46B
Role Ambiguity1 / 15−0.46A
Learning Orientation1 / 15+0.45C
Person Supervisor Fit1 / 15+0.44A
Positive Affect1 / 15+0.44A
Interactional Justice1 / 15+0.43B
Person Organization Fit1 / 15+0.40A
Colleague Support1 / 15+0.37A
Work Life Balance1 / 15+0.35A
Negative Affect1 / 15−0.34A
Person Group Fit1 / 15+0.31A
Work Life Conflict Wlc1 / 15−0.31A
Neuroticism1 / 15−0.29A
Work Interference With Family Wif1 / 15−0.26A
Conscientiousness1 / 15+0.26A
Work Family Conflict1 / 15−0.26A
Extraversion1 / 15+0.25A
Collectivism1 / 15+0.21A
Power Distance1 / 15−0.17B
Agreeableness1 / 15+0.17A
Compensation1 / 15+0.15A
Pay Level1 / 15+0.15A
Uncertainty Avoidance1 / 15−0.15C

“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:10.1037/0021-9010.86.3.4254A
doi:10.1111/j.1744-6570.2005.00672.x4A
doi:10.1037/0021-9010.87.3.5304A
doi:10.1177/01492063166320584A
doi:10.1037/0021-9010.92.5.13324A
doi:10.1037/a00221704A
doi:10.1037/a00189383A
doi:10.1177/10596011073133073A
doi:10.1177/15344843209873632B
doi:10.1016/0749-5978(85)90020-22A
doi:10.1177/003329412110519882A
doi:10.1177/01492063166654612B
doi:10.1016/j.jvb.2010.04.0022A
doi:10.3389/fpsyg.2022.8725682A
doi:10.1037/0033-2909.129.6.9142A
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.
The complete model of Job Satisfaction · Principia