Psychometric Properties of the Mental Health Continuum – Short Form in a Psychiatric Sample
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The Mental Health Continuum – Short Form (MHC-SF) is a well-established measure that assesses general well-being and three well-being components: emotional, social, and psychological. However, its psychometric properties have never been investigated in a psychiatric sample. We examined the psychometric properties of the MHC-SF, including factor structure, convergent validity, and sensitivity to change, in 768 patients attending a psychiatric partial hospital program. Patients completed the MHC-SF as well as self-report measures of depression, and motivation and pleasure at admission and discharge from the program. Results revealed that a Bifactor Exploratory Structural Equation Modeling (ESEM) model better fit the data than competing models (Confirmatory Factor Analysis, ESEM, and Bifactor models). This model supported the existence of a general well-being factor, but provided limited evidence for the existence of emotional, social, or psychological well-being factors. The MHC-SF negatively correlated with a measure of depression and positively correlated with a measure of motivation and pleasure, suggesting good convergent validity. General well-being increased significantly from pre- to post-treatment. Results support the use of the MHC-SF to reliably measure general well-being in a psychiatric sample.
KeywordsWell-being Mental health Psychopathology Bifactor ESEM
Compliance with ethical standards
Conflict of Interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in the study.
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