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Normative measurement of job satisfaction in the US

Michael A Gillespie (University of South Florida Sarasota-Manatee, Sarasota, Florida, USA)
William K Balzer (Bowling Green State University, Bowling Green, Ohio, USA)
Michelle H Brodke (Bowling Green State University, Huron, Ohio, USA)
Maya Garza (CEB, Washington, District of Columbia, USA)
Erin N Gerbec (Measurement Resources Company, Columbus, Ohio, USA)
Jennifer Z Gillespie (University of South Florida Sarasota-Manatee, Sarasota, Florida, USA)
Purnima Gopalkrishnan (Aon Hewitt, Mumbai, India)
Joel S Lengyel (University of South Florida Sarasota-Manatee, Sarasota, Florida, USA)
Katherine A Sliter (FurstPerson, Inc., Chicago, Illinois, USA)
Michael T Sliter (FurstPerson, Inc., Chicago, Illinois, USA)
Scott A Withrow (Bowling Green State University, Bowling Green, Ohio, USA)
Jennifer E Yugo (Corvirtus, Colorado Springs, Colorado, USA)

Journal of Managerial Psychology

ISSN: 0268-3946

Article publication date: 14 March 2016

2573

Abstract

Purpose

The purpose of this paper is to discuss the importance of norms and inference, while providing national overall and subgroup norms for the updated Job Descriptive Index and Job in General measures of job satisfaction.

Design/methodology/approach

A stratified random sample was drawn from an online panel to represent the US working population on key variables. Validity evidence is provided. Determination of subgroup norms was based on practical significance.

Findings

The revised measures fit the theorized model and patterns of results are consistent with the literature. Practical subgroup differences were found for some stratification variables. Subgroup norms are made available; the first US overall norms are provided.

Research limitations/implications

An updated job satisfaction measurement system is made available, complete with nationally representative overall and subgroup norms. A major limitation and direction for future research is the lack of norms for other nations.

Practical implications

The revised measurement system is available for use in practice. National overall norms improve decision-makers’ ability to infer respondents’ relative standing and make comparisons across facets and employees. The JDI is useful for dimensional diagnostics and development efforts; the JIG is useful for evaluating overall job satisfaction levels.

Social implications

By facilitating valid inferences of job satisfaction scores, the revised measurement system serves to enhance the quality of life at work.

Originality/value

The authors provide the only publicly available job satisfaction measurement system that has US national overall norms.

Keywords

Acknowledgements

Much of this research was conducted in the Department of Psychology at Bowling Green State University. Funding for the data collection was provided by the JDI Administrative Office, Department of Psychology, Bowling Green State University. The authors thank Amplitude Research, Inc. for managing and hosting the survey process. The authors also thank Paul Spector and two anonymous reviewers for their helpful comments.

An earlier version of this paper was presented at the 29th annual conference of the Society for Industrial and Organizational Psychology, Honolulu, HI.

Citation

Gillespie, M.A., Balzer, W.K., Brodke, M.H., Garza, M., Gerbec, E.N., Gillespie, J.Z., Gopalkrishnan, P., Lengyel, J.S., Sliter, K.A., Sliter, M.T., Withrow, S.A. and Yugo, J.E. (2016), "Normative measurement of job satisfaction in the US", Journal of Managerial Psychology, Vol. 31 No. 2, pp. 516-536. https://doi.org/10.1108/JMP-07-2014-0223

Publisher

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Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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