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Evaluating the work-life balance between self-employed and employed women of South Africa
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Evaluating the work-life balance between self-employed and employed women of South Africa

Rebecca White
MCom, University of Johannesburg
2025
Handle:
https://hdl.handle.net/10210/521416

Abstract

This study explored the concept of work-life balance in the South African context based on employment type and its rela􀆟onship with demographic variables, such as age, race, and number of children. It assessed whether there were differences in work-life balance between self-employed and tradi􀆟onally employed women while considering demographic factors. Work-life balance was measured using the work-life balance self-assessment scale, which included three subscales: work interference with personal life, personal life interference with work, and work-personal life enhancement. The study used a quan􀆟ta􀆟ve approach, which included both descrip􀆟ve and inferen􀆟al sta􀆟s􀆟cal analysis. Data were collected from 137 self-employed women and 182 tradi􀆟onally employed women, totalling 319 South African working women. Confirmatory factor analysis confirmed that the work-life balance selfassessment scale had a good fit and reliability in the South African context. A two-way between-groups ANOVA was used to test differences between work-life balance, employment type, and race. Correla􀆟on analyses assessed the rela􀆟onship between age, employment type, and work-life balance, as well as between the number of children, employment type, and work-life balance. Race and employment type showed some sta􀆟s􀆟cally significant rela􀆟onships with certain subscales of work-life balance, while age and number of children displayed weak and non-sta􀆟s􀆟cally significant correla􀆟ons. This study provided insights and emphasised the importance of considering work-life balance for the overall well-being of all economically ac􀆟ve women. It also contributed to a be􀆩er understanding of work-life balance among both employed and self-employed women in South Africa, where economic inequality, high unemployment rates, and cultural expecta􀆟ons con􀆟nue to influence women’s work experiences. Importantly, the analysis of the work-life balance measurement contributed to a validated tool for future research and prac􀆟ce in this context.
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