| Title | Cross-Level Inferences of Job Satisfaction in the Prediction of Intent to Leave |
|---|---|
| Record ID | 39563 |
| Personal Name Creator |
Witt, L. Alan; Hellman, Chan M. |
| Corporate Creator | Civil Aeromedical Institute |
| Corporate Contributor |
United States. Office of Aviation Medicine |
| Publisher | Civil Aerospace Medical Institute |
| Publication Date | 19911000 |
| Language | English |
| Abstract | An emerging literature has demonstrated that proportionately more dissatisfied employees intend to leave their employing organization while proportionately more satisfied employees intend to remain. The purpose of the present study was to apply criteria for aggregation of individual-level data to the grouplevel using a measure of job satisfaction in the prediction of aggregated grouplevel intent to leave. Data collected from 5,586 employees of the Federal Aviation Administration provided partial support for aggregation. These results have general implications for the use of individual-level job satisfaction scores as predictors of group-level intent to leave. |
| Rosap ID | dot:21341 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/21341 |
| TRT Terms | Job satisfaction; Personnel retention; Turnover; Questionnaires; Statistical inference |
| General Subjects | Job satisfaction; Employee retention; Labor turnover; Questionnaires; Mathematical statistics |
| Classification | NTL - AVIATION - AVIATION |
| Geographical Coverage |
United States |
| Report Number | DOT/FAA/AM-91/15 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/39000/39500/39563/AM91-15.pdf |
| Format | |
| Database | NTL Digital Repository |