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      Factorial validity of the Twi versions of five measures of mental health and well-being in Ghana

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          Abstract

          Background

          Mental health is considered an integral part of human health. Reliable and valid measurement instruments are needed to assess various facets of mental health in the native language of the people involved. This paper reports on five studies examining evidence for the factorial validity of the Twi versions of five mental health and well-being measurement instruments: Affectometer-2 (AFM-2); Automatic Thought Questionnaire–Positive (ATQ-P); Generalized Self-Efficacy Scale (GSEs); Patient Health Questionnaire-9 (PHQ-9); and Satisfaction with Life Scale (SWLS) in a rural Ghanaian adult sample.

          Method

          Measures were translated and evaluated using a research-committee approach, pilot-tested, and administered to adults ( N = 444) randomly selected from four rural poor communities in Ghana. We applied confirmatory factor analysis (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM to the AFM-2, ATQ-P, and the PHQ-9, and CFA to the GSEs and the SWLS. The omega coefficient of composite reliability was computed for each measure.

          Results

          A two-factor bifactor ESEM model displayed superior model fit for the AFM-2. The total scale and the Negative Affect subscale, but not the Positive Affect subscale, attained sufficient reliability. Two models (a four-factor 22-item bifactor ESEM model and a 5-factor 22-item ESEM model) fitted the data best for the ATQ-P. The bifactor ESEM model displayed a high reliability value for the total scale and satisfactory reliability values for three of its four subscales. For the GSEs, a one-factor CFA model (residuals of items 4 and 5 correlated) demonstrated superior model fit with a high reliability score for the total scale. A two-factor ESEM model outperformed all other models fitted for the PHQ-9, with moderate and satisfactory reliability scores for the subscales. A one-factor CFA model (residuals of item 4 and 5 correlated) demonstrated superior model fit for the SWLS, with a satisfactory reliability value for the total scale.

          Conclusions

          Findings established evidence for the factorial validity of the Twi versions of all five measures, with the global scores, but not all subscale scores, demonstrating satisfactory reliability. These validated measurement instruments can be used to assess mental health and well-being in the research and practice contexts of the current sample.

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          Most cited references44

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          The structure of psychological well-being revisited.

          A theoretical model of psychological well-being that encompasses 6 distinct dimensions of wellness (Autonomy, Environmental Mastery, Personal Growth, Positive Relations with Others, Purpose in Life, Self-Acceptance) was tested with data from a nationally representative sample of adults (N = 1,108), aged 25 and older, who participated in telephone interviews. Confirmatory factor analyses provided support for the proposed 6-factor model, with a single second-order super factor. The model was superior in fit over single-factor and other artifactual models. Age and sex differences on the various well-being dimensions replicated prior findings. Comparisons with other frequently used indicators (positive and negative affect, life satisfaction) demonstrated that the latter neglect key aspects of positive functioning emphasized in theories of health and well-being.
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            Exploratory structural equation modeling: an integration of the best features of exploratory and confirmatory factor analysis.

            Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and structural equation modeling (SEM) have long histories in clinical research. Although CFA has largely superseded EFA, CFAs of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors in support of discriminant validity. Part of the problem is undue reliance on overly restrictive CFAs in which each item loads on only one factor. Exploratory SEM (ESEM), an overarching integration of the best aspects of CFA/SEM and traditional EFA, provides confirmatory tests of a priori factor structures, relations between latent factors and multigroup/multioccasion tests of full (mean structure) measurement invariance. It incorporates all combinations of CFA factors, ESEM factors, covariates, grouping/multiple-indicator multiple-cause (MIMIC) variables, latent growth, and complex structures that typically have required CFA/SEM. ESEM has broad applicability to clinical studies that are not appropriately addressed either by traditional EFA or CFA/SEM.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 August 2020
                2020
                : 15
                : 8
                : e0236707
                Affiliations
                [1 ] Africa Unit for Transdisciplinary Health Research, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
                [2 ] College of Health Sciences, University of Ghana, Accra, Ghana
                [3 ] Inclusive Economic Development, Human Sciences Research Council, Cape Town, South Africa
                Universidad Autonoma de Madrid, SPAIN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-1462-5015
                Article
                PONE-D-19-32453
                10.1371/journal.pone.0236707
                7418998
                32780773
                cd2074a5-135f-43df-b739-35f9f6901ba8
                © 2020 Appiah et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 January 2020
                : 13 July 2020
                Page count
                Figures: 0, Tables: 3, Pages: 22
                Funding
                The first author is thankful to the National Institute for the Humanities and Social Sciences (South Africa) for the award of the African Pathways NIHSS-CODESRIA Doctoral Scholarship towards his doctoral studies at the North-West University (NWU). The scholarship source did not have any influence on the design of the study, data collection, and analysis or writing of the manuscript. The first author is also grateful to the NWU for the Doctoral and International Students’ bursaries received during the period of his studentship.
                Categories
                Research Article
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Research and Analysis Methods
                Microscopy
                Electron Microscopy
                Scanning Electron Microscopy
                Engineering and Technology
                Measurement
                People and Places
                Geographical Locations
                Africa
                Ghana
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Language
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Language
                Social Sciences
                Psychology
                Cognitive Psychology
                Language
                Biology and Life Sciences
                Psychology
                Psychometrics
                Social Sciences
                Psychology
                Psychometrics
                Social Sciences
                Sociology
                Culture
                Medicine and Health Sciences
                Health Care
                Patients
                Custom metadata
                Data restrictions imposed by the North-West University’s Health Research Ethics Committee (HREC) prevent the uploading of participant data as it would constitute a violation of the approved procedure. Participants provided informed consent to participate in the current research and gave permission for the research team to use the data and for it to be confidentially secured. Participants did not provide informed consent for their data to be provided to online databases. Applications to access participant data will need to be addressed to HREC Chairperson, Health Research Ethics Committee, North-West University ( Ethics-HRECApply@ 123456nwu.ac.za ) for approval.

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