Accepted for/Published in: JMIR Formative Research
Date Submitted: Mar 10, 2025
Open Peer Review Period: Mar 10, 2025 - Apr 9, 2025
Date Accepted: May 21, 2025
(closed for review but you can still tweet)
The Quan Well-being Index: Development and validation of a digital tool for assessing well-being at the workplace and in personal life
ABSTRACT
Background:
Currently, no existing digital measurement instrument comprehensively evaluates well-being across both personal and professional domains. This paper details the development and validation of the Quan Well-being Index, a new digital self-report measure assessing well-being in personal life and at the workplace.
Objective:
Currently, no existing digital measurement instrument comprehensively evaluates well-being across both personal and professional domains. This paper details the development and validation of the Quan Well-being Index, a new digital self-report measure assessing well-being in personal life and at the workplace.
Methods:
The first study captured the conceptualization of the initial factors, the generation process of their items, and the steps taken for face and content validity. In the second study, the items were presented to a large UK-based sample (n = 1020). In the third study, an independent UK-based sample (n = 966) completed the final assessment along with a battery of well-being and personality questionnaires. A subsample (n = 275) retook the assessment approximately 2-weeks after initial completion.
Results:
In the first study 51 items were generated, which after face and content validity processes were reduced to 45. In the second study, the results of the exploratory factor analysis indicated a four-factor model with 35 items. The factors were labeled as “Thrive and Connect in Personal Life”, “Thrive and Connect at Work”, “Mental Health”, and “Physical Health”. The third study confirmed the factor structure through structural equation modeling and confirmatory factor analysis, and identified a hierarchical model where a “General Well-being” factor affected all four factors, which influenced the items in each factor. Furthermore, the study established good or very good internal reliability estimates, strong correlations with existing well-being measures for convergent validity, weak or negative correlations with a personality measure for divergent validity as well as strong to very strong test-retest reliability correlations.
Conclusions:
The Quan Well-being Index provides a comprehensive assessment of well-being at the workplace and in personal life, and is anticipated to be a valuable digital tool, enabling individuals, teams, and organizations to gain insights, monitor progress, and implement appropriate interventions for a healthier workforce.
Citation
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Copyright
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