Cross-Level Inferences of Job Satisfaction in the Prediction of Intent to Leave

Witt, L. Alan; Hellman, Chan M.; Civil Aeromedical Institute

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Cross-Level Inferences of Job Satisfaction in the Prediction of Intent to Leave

1991-10-01
By Witt, L. Alan ; Hellman, Chan M.

[PDF-522.47 KB]

English

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Details:

Creators:

Witt, L. Alan ; Hellman, Chan M.

Witt, L. Alan ; Hellman, Chan M. Less -
Corporate Creators:

Civil Aeromedical Institute
Corporate Contributors:

United States. Office of Aviation Medicine
Subject/TRT Terms:

[+]

Employee Retention Job Satisfaction Labor Turnover Mathematical Statistics Personnel Retention Questionnaires Statistical Inference Turnover
Publication/ Report Number:

DOT/FAA/AM-91/15
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Civil Aerospace Medical Institute
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.
Format:

PDF
Collection(s):

FAA Civil Aerospace Medical Institute US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:411df590c5c98009b79f587931d6e1f14e398d4d88fddb0caa44590bf1f1de79
Download URL:

https://rosap.ntl.bts.gov/view/dot/21341/dot_21341_DS1.pdf
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Cross-Level Inferences of Job Satisfaction in the Prediction of Intent to Leave

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