Handbook of Organization Measurement
Psychological Detachment
construct.psychological_detachment
§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 psychological detachment
| Predictor | r | k | N | Grade | Confidence |
|---|---|---|---|---|---|
| Job Demands | −0.25 | 1 | 28,507 | A | single study |
| Job Resources | +0.10 | 1 | 15,010 | A | single study |
What psychological detachment predicts
| Outcome | r | k | N | Grade | Confidence |
|---|---|---|---|---|---|
| Burnout | −0.36 | 1 | 7,007 | A | single study |
| Job Satisfaction | +0.26 | 2 | 10,588 | A | I²≈0.96 |
| Contextual Performance | −0.13 | 1 | 2,106 | A | single study |
| Creativity | −0.11 | 1 | 2,398 | A | single study |
| Task Performance | +0.09 | 1 | 4,551 | A | single study |
| Work Engagement | −0.01 | 1 | 17,259 | C | single study |
§4As a model node
Where psychological detachment 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)
- Job Demands−0.25
- Job Resources+0.10
→
Psychological Detachment
→
Outputs (outcomes)
- Burnout−0.36
- Job Satisfaction+0.26
- Contextual Performance−0.13
- Creativity−0.11