Confirmatory factor analysis of latent constructs for measuring social well-being in African migrant samples

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dc.contributor.authorEjoke, Ufuoma Patience
dc.contributor.authorDu Plessis, Edwin Devon
dc.contributor.authorDev, Smitha
dc.contributor.authorAl Bustami, Ghanem Jaser
dc.contributor.authorVarghese, Mary
dc.date.accessioned2024-05-03T13:17:22Z
dc.date.available2024-05-03T13:17:22Z
dc.date.issued2024-05
dc.description.abstractThe present study contributes to psychology and well-being literature by investigating social well-being in minority contexts. The factor structure of the Keyes' long format 33-item social well-being measure was investigated among African migrant samples. A cross-sectional survey methodology was used to collect data from a total of 404 African migrants living in South Africa (n = 146), Uganda (n = 158) and Kenya (n = 100). They were 202 (50%) males, 195 (48.3%) females, and 7 (1.7%) of the samples did not disclose their gender. They were aged from 14 to 70 with a Mean age of 32.21 (standard deviation = 7.696). Data collected were analysed using CFA in AMOS (version 29). We found an unstable four-factor emic solution for African migrants in Sub-Sahara Africa. We could not replicate the theoretical social well-being model of Keyes (1998) among African migrant samples in Sub-Saharan Africa. Insights from the study will be critical to designing culturally appropriate indigenous measures that accurately reflect the social realities and well-being constructs of African migrants. Our findings will also help policymakers and service providers to identify areas of need, develop appropriate socio-cultural programmes, and allocate resources more effectively to support the integration and well-being of migrants within African societies.en_US
dc.identifier.citationEjoke, Ufuoma Patience, Edwin Devon Du Plessis, Smitha Dev, et al. 'Confirmatory Factor Analysis of Latent Constructs for Measuring Social Well-being in African Migrant Samples', Heliyon, vol. 10/no. 8, (2024), pp. e29479.en_US
dc.identifier.issnISSN 2405-8440
dc.identifier.issnEISSN 2405-8440
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/9504
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectAfrican; migrants; ecosystem; Measurement; Social well-beingen_US
dc.titleConfirmatory factor analysis of latent constructs for measuring social well-being in African migrant samplesen_US
dc.typeArticleen_US
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