Handbook of Organization Measurement
Met expectations
construct.met_expectations
§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 met expectations
| Predictor | r | k | N | Grade | Confidence |
|---|---|---|---|---|---|
| Realistic Job Preview | −0.01 | 1 | 2,084 | A | single study |
What met expectations predicts
| Outcome | r | k | N | Grade | Confidence |
|---|---|---|---|---|---|
| Turnover Intention | −0.29 | 1 | 17,241 | A | single study |
| New Hire Retention | +0.19 | 1 | 50 | A | single study |
| Voluntary Turnover | −0.16 | 3 | 21,963 | A | — |
§4As a model node
Where met expectations 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)
- Realistic Job Preview−0.01
→
Met expectations
→
Outputs (outcomes)
- Turnover Intention−0.29
- New Hire Retention+0.19
- Voluntary Turnover−0.16