Open Research will be updating the system on Tuesday, 14 July 2026, from 8:15 to 9:00 AM. We apologise for any inconvenience caused.

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Revisiting the Factor Structure of the Mental Health Continuum Short Form (MHC-SF): Evidence for a General Wellbeing Factor?

Loading...
Thumbnail Image

Date

Authors

Burns, Richard Andrew
Crisp, Dimity Ann
Butterworth, Peter
Cosgrove, Martine
Rickwood, Debra
Richard-Sephton, Pixie Bella
Rieger, Elizabeth

Journal Title

Journal ISSN

Volume Title

Publisher

Access Statement

Research Projects

Organizational Units

Journal Issue

Abstract

The Mental Health Continuum Short Form (MHC-SF) scale is widely used to assess individuals’ Subjective (SWB), Psychological (PWB) and Social (SoWB) Wellbeing. The items appear to have excellent face validity and better model fit is generally reported for a correlated three-factor model or a Bi-Factor model with a g factor and three s factors that reflect three wellbeing domains. However, item-level misspecification is common, with items either loading poorly on their primary factor or loading comparatively on a non-primary factor. Data from six studies (N = 13166) systematically assessed the factor structure of the MHC-SF. Parallel Analysis supported only 1 factor be extracted. Model fit increased for the more complex models but item misspecification was also reported. Comparative good model fit was reported for the unidimensional when substantive covariance parameters between residuals, consistently identified in all studies, were included in the estimation. In conclusion, the MHC-SF items reflect a general factor of wellbeing. The purported better model fit of the more complex models can be explained by the inclusion of seven covariance paths identified in each study. While the MHC-SF items reflect different wellbeing domains, they should not be used to derive differential scores of SWB, PWB and SoWB.

Description

Citation

Source

Journal of Happiness Studies

Book Title

Entity type

Publication

Access Statement

License Rights

Restricted until

abcd