Literature DB >> 29281897

The General Factor of Well-Being: Multinational Evidence Using Bifactor ESEM on the Mental Health Continuum-Short Form.

Ylenio Longo1, Veljko Jovanović2, Joana Sampaio de Carvalho3, Dominika Karaś4.   

Abstract

The Mental Health Continuum-Short Form (MHC-SF) is a widely used scale aimed at assessing three components of well-being: emotional, social, and psychological. The factor structure of the MHC-SF has been under debate over the past 10 years. The main goal of the present study was to examine the dimensionality of the MHC-SF. Confirmatory factor analyses (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM were used to evaluate competing models of the MHC-SF structure. The total sample consisted of 7,521 participants from four countries: The Netherlands, Poland, Portugal, and Serbia. The results indicated that the three CFA factors were very highly related, and that a bifactor ESEM model provided the best fit to the data in all samples. Our findings provided support for the bifactor structure of well-being with a strong general factor explaining most of the variance in the items.

Entities:  

Keywords:  CFA; ESEM; bifactor; factor analysis; factor structure; flourishing; general factor; well-being

Mesh:

Year:  2017        PMID: 29281897     DOI: 10.1177/1073191117748394

Source DB:  PubMed          Journal:  Assessment        ISSN: 1073-1911


  2 in total

1.  Well-being profiles in adolescence: psychometric properties and latent profile analysis of the mental health continuum model - a methodological study.

Authors:  Melinda Reinhardt; Zsolt Horváth; Antony Morgan; Gyöngyi Kökönyei
Journal:  Health Qual Life Outcomes       Date:  2020-04-06       Impact factor: 3.186

2.  Exploratory Structural Equation Modeling: Practical Guidelines and Tutorial With a Convenient Online Tool for Mplus.

Authors:  Llewellyn E van Zyl; Peter M Ten Klooster
Journal:  Front Psychiatry       Date:  2022-01-07       Impact factor: 4.157

  2 in total

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