A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index
BackgroundQuan is a workplace well-being digital platform that supports employees, teams, and organizations in measuring, understanding, and improving their well-being. It is important to develop a validated measurement instrument that enables users to assess and track their...
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JMIR Publications
2025-08-01
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| Series: | JMIR Formative Research |
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| author | Georgia A Floridou Freya Katre Emile Jeuken |
| author_facet | Georgia A Floridou Freya Katre Emile Jeuken |
| author_sort | Georgia A Floridou |
| collection | DOAJ |
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BackgroundQuan is a workplace well-being digital platform that supports employees, teams, and organizations in measuring, understanding, and improving their well-being. It is important to develop a validated measurement instrument that enables users to assess and track their well-being over time. Currently, no digital measurement instrument comprehensively evaluates well-being across both personal and professional domains.
ObjectiveWe detail the development and validation of the Quan Well-being Index, a new digital self-report measure for assessing well-being in personal life and at the workplace.
MethodsWe performed 3 studies. The first study involved the conceptualization of 6 initial factors, the generation of 51 items, and the steps of face and content validity. In the second study, revised items were presented to a UK sample. In the third study, an independent UK sample completed the final assessment along with a battery of well-being and personality questionnaires. A subsample of participants from the third study retook the assessment approximately 2 weeks after initial completion.
ResultsIn the first study, after face and content validity processes, the number of items was reduced to 45. In the second study, exploratory factor analysis on data from 1020 participants (age: mean 43.06, SD 12.98 years; 525 female participants) identified a 4-factor solution with 35 items (Kaiser-Meyer-Olkin value=0.98; Bartlett test: χ2990=37063.54; P<.001), accounting for 64% of variance. The 4 factors were thrive and connect in personal life, thrive and connect at work, mental health, and physical health. In the third study, confirmatory factor analysis on data from 966 participants (age: mean 44.4, SD 12.52 years; 480 female participants) tested 4 structural models. A hierarchical model (model 1) where the general factor influenced the 4 group factors demonstrated the best fit (χ2521=3467.00; Bentler comparative fit index=0.906; Tucker-Lewis index=0.892; root mean square error of approximation=0.077; standardized root mean square residual=0.048; ΔAkaike information criterion=0.0; ΔBayesian information criterion=0.0). Internal reliability was high across subscales (Cronbach α=.88-.93; McDonald ω total=0.89-0.94; Guttman λ6=0.86-0.92). Convergent validity was demonstrated by strong correlations with the Warwick-Edinburgh Mental Well-being Scale (r=0.45-0.85; P<.001) and Flourishing-at-Work Scale (r=0.80-0.84; P<.001). Divergent validity was supported through weak or negative correlations with Big Five Personality Inventory traits (eg, neuroticism: r=–0.29; P<.001). Test-retest reliability assessed in a subset of 275 participants (age: mean 52.12, SD 9.56 years; 170 female participants) over a 2-week interval was strong to very strong across factors (r=0.74-0.81; P<.001).
ConclusionsThe 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. |
| format | Article |
| id | doaj-art-937f58477b0c4c1b8f0f498f80daedd4 |
| institution | DOAJ |
| issn | 2561-326X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | JMIR Publications |
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| series | JMIR Formative Research |
| spelling | doaj-art-937f58477b0c4c1b8f0f498f80daedd42025-08-20T02:55:10ZengJMIR PublicationsJMIR Formative Research2561-326X2025-08-019e7371310.2196/73713A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being IndexGeorgia A Floridouhttps://orcid.org/0000-0003-1666-8083Freya Katrehttps://orcid.org/0009-0002-5151-7651Emile Jeukenhttps://orcid.org/0000-0002-7828-6606 BackgroundQuan is a workplace well-being digital platform that supports employees, teams, and organizations in measuring, understanding, and improving their well-being. It is important to develop a validated measurement instrument that enables users to assess and track their well-being over time. Currently, no digital measurement instrument comprehensively evaluates well-being across both personal and professional domains. ObjectiveWe detail the development and validation of the Quan Well-being Index, a new digital self-report measure for assessing well-being in personal life and at the workplace. MethodsWe performed 3 studies. The first study involved the conceptualization of 6 initial factors, the generation of 51 items, and the steps of face and content validity. In the second study, revised items were presented to a UK sample. In the third study, an independent UK sample completed the final assessment along with a battery of well-being and personality questionnaires. A subsample of participants from the third study retook the assessment approximately 2 weeks after initial completion. ResultsIn the first study, after face and content validity processes, the number of items was reduced to 45. In the second study, exploratory factor analysis on data from 1020 participants (age: mean 43.06, SD 12.98 years; 525 female participants) identified a 4-factor solution with 35 items (Kaiser-Meyer-Olkin value=0.98; Bartlett test: χ2990=37063.54; P<.001), accounting for 64% of variance. The 4 factors were thrive and connect in personal life, thrive and connect at work, mental health, and physical health. In the third study, confirmatory factor analysis on data from 966 participants (age: mean 44.4, SD 12.52 years; 480 female participants) tested 4 structural models. A hierarchical model (model 1) where the general factor influenced the 4 group factors demonstrated the best fit (χ2521=3467.00; Bentler comparative fit index=0.906; Tucker-Lewis index=0.892; root mean square error of approximation=0.077; standardized root mean square residual=0.048; ΔAkaike information criterion=0.0; ΔBayesian information criterion=0.0). Internal reliability was high across subscales (Cronbach α=.88-.93; McDonald ω total=0.89-0.94; Guttman λ6=0.86-0.92). Convergent validity was demonstrated by strong correlations with the Warwick-Edinburgh Mental Well-being Scale (r=0.45-0.85; P<.001) and Flourishing-at-Work Scale (r=0.80-0.84; P<.001). Divergent validity was supported through weak or negative correlations with Big Five Personality Inventory traits (eg, neuroticism: r=–0.29; P<.001). Test-retest reliability assessed in a subset of 275 participants (age: mean 52.12, SD 9.56 years; 170 female participants) over a 2-week interval was strong to very strong across factors (r=0.74-0.81; P<.001). ConclusionsThe 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.https://formative.jmir.org/2025/1/e73713 |
| spellingShingle | Georgia A Floridou Freya Katre Emile Jeuken A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index JMIR Formative Research |
| title | A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index |
| title_full | A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index |
| title_fullStr | A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index |
| title_full_unstemmed | A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index |
| title_short | A Digital Tool for Assessing Well-Being at the Workplace and in Personal Life: Development and Validation of the Quan Well-Being Index |
| title_sort | digital tool for assessing well being at the workplace and in personal life development and validation of the quan well being index |
| url | https://formative.jmir.org/2025/1/e73713 |
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