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Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK

BACKGROUND: This study investigates the extent to which the GHQ-12 exhibits configural, metric and scalar invariance across six ethnic groups in Britain and Northern Ireland, using the UK Household Longitudinal Study (N = 35 410). METHODS: A confirmatory factor analysis was carried out on a white Br...

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Autores principales: King, Kirby, Allum, Nick, Stoneman, Paul, Cernat, Alexandru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106293/
https://www.ncbi.nlm.nih.gov/pubmed/34498557
http://dx.doi.org/10.1017/S0033291721003408
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author King, Kirby
Allum, Nick
Stoneman, Paul
Cernat, Alexandru
author_facet King, Kirby
Allum, Nick
Stoneman, Paul
Cernat, Alexandru
author_sort King, Kirby
collection PubMed
description BACKGROUND: This study investigates the extent to which the GHQ-12 exhibits configural, metric and scalar invariance across six ethnic groups in Britain and Northern Ireland, using the UK Household Longitudinal Study (N = 35 410). METHODS: A confirmatory factor analysis was carried out on a white British group in order to establish an adequate measurement model. Secondly, a multi-group confirmatory factor analysis was conducted in order to assess measurement invariance. A sensitivity analysis comparing summated and latent means across groups was carried out. Finally, revised estimates of scale reliability were derived using two different methods. RESULTS: A one-factor model including correlated error terms on the negatively phrased items showed superior fit in all ethnic groups. Tests for equal factor loadings and intercepts also showed adequate fit demonstrating metric and scalar invariance. Latent and summated scale estimates of mean group differences were similar for all groups. Scale reliability using McDonald's ω is lower than when using the more conventional Cronbach's α. Reliability across groups is reasonably consistent. CONCLUSIONS: We find that the GHQ-12 does not display obvious bias in regard to ethnic groups in the UK and that valid comparisons across these groups can be made for the purposes of population research. Caution is needed when using as a screening tool for individuals.
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spelling pubmed-101062932023-04-17 Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK King, Kirby Allum, Nick Stoneman, Paul Cernat, Alexandru Psychol Med Original Article BACKGROUND: This study investigates the extent to which the GHQ-12 exhibits configural, metric and scalar invariance across six ethnic groups in Britain and Northern Ireland, using the UK Household Longitudinal Study (N = 35 410). METHODS: A confirmatory factor analysis was carried out on a white British group in order to establish an adequate measurement model. Secondly, a multi-group confirmatory factor analysis was conducted in order to assess measurement invariance. A sensitivity analysis comparing summated and latent means across groups was carried out. Finally, revised estimates of scale reliability were derived using two different methods. RESULTS: A one-factor model including correlated error terms on the negatively phrased items showed superior fit in all ethnic groups. Tests for equal factor loadings and intercepts also showed adequate fit demonstrating metric and scalar invariance. Latent and summated scale estimates of mean group differences were similar for all groups. Scale reliability using McDonald's ω is lower than when using the more conventional Cronbach's α. Reliability across groups is reasonably consistent. CONCLUSIONS: We find that the GHQ-12 does not display obvious bias in regard to ethnic groups in the UK and that valid comparisons across these groups can be made for the purposes of population research. Caution is needed when using as a screening tool for individuals. Cambridge University Press 2023-04 2021-09-09 /pmc/articles/PMC10106293/ /pubmed/34498557 http://dx.doi.org/10.1017/S0033291721003408 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Article
King, Kirby
Allum, Nick
Stoneman, Paul
Cernat, Alexandru
Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK
title Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK
title_full Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK
title_fullStr Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK
title_full_unstemmed Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK
title_short Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK
title_sort estimating measurement equivalence of the 12-item general health questionnaire across ethnic groups in the uk
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106293/
https://www.ncbi.nlm.nih.gov/pubmed/34498557
http://dx.doi.org/10.1017/S0033291721003408
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