Developing a Standard Measure of Job Quality
Chris Warhurst,
Angela Knox and
Sally Wright
Additional contact information
Chris Warhurst: University of Warwick, UK
Angela Knox: University of Sydney, Australia
Sally Wright: University of Sheffield, UK
Work, Employment & Society, 2025, vol. 39, issue 4, 927-948
Abstract:
The UK government is concerned about job quality. However the lack of scientific consensus about measuring job quality hampers policy efforts to improve the quality of jobs. To address this problem, a standard measure was developed and adopted to report job quality by the UK’s Office for National Statistics. This article outlines a replication study using a new dataset to assess the reliability and validity of this standard measure. The dataset comprises 75 empirical studies that examine job quality in the UK and elsewhere. Using this dataset, the standard measure is confirmed, encompassing six dimensions of job quality. Subsequently, this study establishes both the reproducibility of the measure and the replicability of the methods used to develop that measure. In doing so, the findings will facilitate improved research and policy development along with greater conceptual clarity regarding job quality, long called for by social scientists.
Keywords: decent work; employment quality; fair work; good work; job quality; job quality measures; work quality (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/09500170251325774 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:woemps:v:39:y:2025:i:4:p:927-948
DOI: 10.1177/09500170251325774
Access Statistics for this article
More articles in Work, Employment & Society from British Sociological Association
Bibliographic data for series maintained by SAGE Publications ().