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A Meta-Analytical Structural Equations Analysis of a Model of Employee Turnover

A Meta-Analytical Structural Equations Analysis of a Model of Employee Turnover The present study combined meta-analysis with structural equations modeling (SEM) to validate Mobley, Horner, and Hollingsworth's (1978) turnover theory as well as alternative structural networks proposed by Dalessio, Silverman, and Schuck (1986), Hom, Griffeth, and Sellaro (1984), and Bannister and Griffeth (1986). We aggregated correlations from 17 studies (N = 5,013 employees), correcting for unreliability and sampling error. Then we used SEM to assess the models, comparing their relative fits to data. SEM analyses corroborated Mobley et al.'s model better than did past research, but these analyses also showed that Dalessio et al.'s and Hom et al.'s theories explained sample data more plausibly. Additional SEM tests found that turnover base rates, time lags between turnover and model assessments, unemployment rates, and occupational differences moderated the models' pathways. The present findings suggest various implications for these theories and for turnover research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Psychology American Psychological Association

A Meta-Analytical Structural Equations Analysis of a Model of Employee Turnover

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References (101)

Publisher
American Psychological Association
Copyright
Copyright © 1992 American Psychological Association
ISSN
0021-9010
eISSN
1939-1854
DOI
10.1037/0021-9010.77.6.890
Publisher site
See Article on Publisher Site

Abstract

The present study combined meta-analysis with structural equations modeling (SEM) to validate Mobley, Horner, and Hollingsworth's (1978) turnover theory as well as alternative structural networks proposed by Dalessio, Silverman, and Schuck (1986), Hom, Griffeth, and Sellaro (1984), and Bannister and Griffeth (1986). We aggregated correlations from 17 studies (N = 5,013 employees), correcting for unreliability and sampling error. Then we used SEM to assess the models, comparing their relative fits to data. SEM analyses corroborated Mobley et al.'s model better than did past research, but these analyses also showed that Dalessio et al.'s and Hom et al.'s theories explained sample data more plausibly. Additional SEM tests found that turnover base rates, time lags between turnover and model assessments, unemployment rates, and occupational differences moderated the models' pathways. The present findings suggest various implications for these theories and for turnover research.

Journal

Journal of Applied Psychology – American Psychological Association

Published: Dec 1, 1992

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