Prediction of individual job termination from measured job satisfaction and biographical data

Kenneth E. Taylor; David J Weiss

doi:10.1016/0001-8791(72)90043-7

Prediction of individual job termination from measured job satisfaction and biographical data

Kenneth E. Taylor, David J Weiss

Psychology (Twin Cities)

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

The Minnesota Satisfaction Questionnaire (MSQ) was administered to a group of 475 employees of a discount store chain at the same time that biographical data were collected. After a lapse of one year, personnel records indicated about 20% of the employees had terminated. "Leavers" were significantly less satisfied on 10 of the 27 MSQ scales and differed from "stayers" on 3 of the 11 biographical items. Several discriminant functions were developed using sets of biographical data alone, the MSQ scales alone and both sets of predictors in combination, to predict termination. The MSQ scales alone resulted in the greatest improvement in the hit rate for predicting "leave" in the cross-validation group.

Original language	English (US)
Pages (from-to)	123-132
Number of pages	10
Journal	Journal of Vocational Behavior
Volume	2
Issue number	2
DOIs	https://doi.org/10.1016/0001-8791(72)90043-7
State	Published - Apr 1972

Bibliographical note

Funding Information:
1This study was supported, in part, by Research Grant RD1613-G from the Social and Rehabilitation Service, U. S. Department of Health, Education, and Welfare. The authors wish to thank Marvin D. Dumrette for his careful review of an earlier version of this paper and his many helpful suggestions. 2Requests for reprints should be sent to the Work Adjustment Project, 447 B. A. Building, University of Minnesota, Minneapolis, MN 55455.

Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.

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title = "Prediction of individual job termination from measured job satisfaction and biographical data",

abstract = "The Minnesota Satisfaction Questionnaire (MSQ) was administered to a group of 475 employees of a discount store chain at the same time that biographical data were collected. After a lapse of one year, personnel records indicated about 20% of the employees had terminated. {"}Leavers{"} were significantly less satisfied on 10 of the 27 MSQ scales and differed from {"}stayers{"} on 3 of the 11 biographical items. Several discriminant functions were developed using sets of biographical data alone, the MSQ scales alone and both sets of predictors in combination, to predict termination. The MSQ scales alone resulted in the greatest improvement in the hit rate for predicting {"}leave{"} in the cross-validation group.",

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note = "Funding Information: 1This study was supported, in part, by Research Grant RD1613-G from the Social and Rehabilitation Service, U. S. Department of Health, Education, and Welfare. The authors wish to thank Marvin D. Dumrette for his careful review of an earlier version of this paper and his many helpful suggestions. 2Requests for reprints should be sent to the Work Adjustment Project, 447 B. A. Building, University of Minnesota, Minneapolis, MN 55455. Copyright: Copyright 2014 Elsevier B.V., All rights reserved.",

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AU - Weiss, David J

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N2 - The Minnesota Satisfaction Questionnaire (MSQ) was administered to a group of 475 employees of a discount store chain at the same time that biographical data were collected. After a lapse of one year, personnel records indicated about 20% of the employees had terminated. "Leavers" were significantly less satisfied on 10 of the 27 MSQ scales and differed from "stayers" on 3 of the 11 biographical items. Several discriminant functions were developed using sets of biographical data alone, the MSQ scales alone and both sets of predictors in combination, to predict termination. The MSQ scales alone resulted in the greatest improvement in the hit rate for predicting "leave" in the cross-validation group.

AB - The Minnesota Satisfaction Questionnaire (MSQ) was administered to a group of 475 employees of a discount store chain at the same time that biographical data were collected. After a lapse of one year, personnel records indicated about 20% of the employees had terminated. "Leavers" were significantly less satisfied on 10 of the 27 MSQ scales and differed from "stayers" on 3 of the 11 biographical items. Several discriminant functions were developed using sets of biographical data alone, the MSQ scales alone and both sets of predictors in combination, to predict termination. The MSQ scales alone resulted in the greatest improvement in the hit rate for predicting "leave" in the cross-validation group.

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Prediction of individual job termination from measured job satisfaction and biographical data

Abstract

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