Article ; Online: The Association between Job Quality Profiles and Work-Life Balance among Female Employees in Korea
International Journal of Environmental Research and Public Health, Vol 18, Iss 1672, p
A Latent Profile Analysis
2021 Volume 1672
Abstract: Women’s participation in society has been increasing; however, they often remain overloaded with housework, and this gender role difference can hinder their work-life balance in Korea. Therefore, this study classified latent profiles according to job ... ...
Abstract | Women’s participation in society has been increasing; however, they often remain overloaded with housework, and this gender role difference can hinder their work-life balance in Korea. Therefore, this study classified latent profiles according to job quality indices for South Korean female employees and examined the characteristics of each profile and how they affect work-life balance. This study was a secondary analysis of data collected through the fifth Korean Working Conditions Survey in South Korea. The Bayesian information criterion, entropy, and the Lo-Mendell-Rubin adjusted likelihood ratio test were used to determine the number of latent profiles. Chi-square tests were conducted to understand the characteristics of each profile. Comparisons between work-life balance and the latent profiles were made using the Bolck-Croon-Hagenaars method. Female employees in South Korea were classified into five profiles: “high-flying,” “smooth,” ”footloose,” ”strict,” and “manual.” The “footloose” profile showed the most positive work-life balance, and the “manual” profile had the highest level of work-family conflict. Therefore, policies and social supports should be created with the aim of improving the implementation of current strategies promoting work-life balance to better fit each working condition. |
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Keywords | job quality ; work-life balance ; employee ; latent profile analysis ; Medicine ; R |
Subject code | 360 |
Language | English |
Publishing date | 2021-02-01T00:00:00Z |
Publisher | MDPI AG |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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