IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i4p1672-d496610.html
   My bibliography  Save this article

The Association between Job Quality Profiles and Work-Life Balance among Female Employees in Korea: A Latent Profile Analysis

Author

Listed:
  • Eun Young Choi

    (Department of Nursing, Graduate School of Chung-Ang University, Seoul 06974, Korea)

  • Seung-Hye Choi

    (College of Nursing, Gachon University, Incheon 21936, Korea)

  • Haeyoung Lee

    (Red Cross College of Nursing, Chung-Ang University, Seoul 06974, Korea)

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.

Suggested Citation

  • Eun Young Choi & Seung-Hye Choi & Haeyoung Lee, 2021. "The Association between Job Quality Profiles and Work-Life Balance among Female Employees in Korea: A Latent Profile Analysis," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1672-:d:496610
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/4/1672/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/4/1672/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gilles Celeux & Gilda Soromenho, 1996. "An entropy criterion for assessing the number of clusters in a mixture model," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 195-212, September.
    2. Bolck, Annabel & Croon, Marcel & Hagenaars, Jacques, 2004. "Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators," Political Analysis, Cambridge University Press, vol. 12(1), pages 3-27, January.
    3. Alexander Hijzen & Stefan Thewissen, 2020. "The 2018-2021 working time reform in Korea: A preliminary assessment," OECD Social, Employment and Migration Working Papers 248, OECD Publishing.
    4. Young-Mee Kim & Sung-il Cho, 2017. "Work–Life Imbalance and Musculoskeletal Disorders among South Korean Workers," IJERPH, MDPI, vol. 14(11), pages 1-13, November.
    5. Seung-Hye Choi & Eun Young Choi & Haeyoung Lee, 2020. "Comparison of Job Quality Indices Affecting Work–Life Balance in South Korea According to Employee Gender," IJERPH, MDPI, vol. 17(13), pages 1-12, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ka Po Wong & Fion Choi Hung Lee & Pei-Lee Teh & Alan Hoi Shou Chan, 2021. "The Interplay of Socioecological Determinants of Work–Life Balance, Subjective Wellbeing and Employee Wellbeing," IJERPH, MDPI, vol. 18(9), pages 1-24, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alyssa Lozano & Tae Kyoung Lee & Elliott R. Weinstein & Yannine Estrada & Beck Graefe & Maria I. Tapia & Guillermo Prado, 2023. "Trajectories of Drug Use and Depressive Symptoms among Latinx Youth and Sexual Minority Youth," IJERPH, MDPI, vol. 20(10), pages 1-13, May.
    2. Lekkas, Peter & Howard, Natasha J & Stankov, Ivana & daniel, mark & Paquet, Catherine, 2019. "A Longitudinal Typology of Neighbourhood-level Social Fragmentation: A Finite Mixture Model Approach," SocArXiv 56x9c, Center for Open Science.
    3. Ruth Salway & Simon J. Sebire & Byron Tibbitts & Emily Sanderson & Rebecca Kandiyali & Kate Willis & Stephanie J. MacNeill & Russell Jago, 2020. "Physical Activity and Psychosocial Characteristics of the Peer Supporters in the PLAN-A Study—A Latent Class Analysis," IJERPH, MDPI, vol. 17(21), pages 1-15, October.
    4. Janez Dolšak & Nevenka Hrovatin & Jelena Zorić, 2020. "Analysing Consumer Preferences, Characteristics, and Behaviour to Identify Energy-Efficient Consumers," Sustainability, MDPI, vol. 12(23), pages 1-19, November.
    5. Julian Aichholzer & Sylvia Kritzinger & Carolina Plescia, 2021. "National identity profiles and support for the European Union," European Union Politics, , vol. 22(2), pages 293-315, June.
    6. Adrian Bruhin & Ernst Fehr & Daniel Schunk, 2019. "The many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1025-1069.
    7. Shelley H. Liu & Yitong Chen & Jordan R. Kuiper & Emily Ho & Jessie P. Buckley & Leah Feuerstahler, 2024. "Applying Latent Variable Models to Estimate Cumulative Exposure Burden to Chemical Mixtures and Identify Latent Exposure Subgroups: A Critical Review and Future Directions," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(2), pages 482-502, July.
    8. Nicoleta Serban & Huijing Jiang, 2012. "Multilevel Functional Clustering Analysis," Biometrics, The International Biometric Society, vol. 68(3), pages 805-814, September.
    9. Jacky C. K. Ng & Joanne Y. H. Chong & Hilary K. Y. Ng, 2023. "The way I see the world, the way I envy others: a person-centered investigation of worldviews and the malicious and benign forms of envy among adolescents and adults," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    10. Gillian C. Williams & Karen A. Patte & Mark A. Ferro & Scott T. Leatherdale, 2021. "Associations between Longitudinal Patterns of Substance Use and Anxiety and Depression Symptoms among a Sample of Canadian Secondary School Students," IJERPH, MDPI, vol. 18(19), pages 1-14, October.
    11. Mélissa Lemoine & Gerhard Gmel & Simon Foster & Simon Marmet & Joseph Studer, 2020. "Multiple trajectories of alcohol use and the development of alcohol use disorder: Do Swiss men mature-out of problematic alcohol use during emerging adulthood?," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-17, January.
    12. Sarstedt, Marko & Salcher, André, 2007. "Modellselektion in Finite Mixture PLS-Modellen," Discussion Papers in Business Administration 1394, University of Munich, Munich School of Management.
    13. Lebret, Rémi & Iovleff, Serge & Langrognet, Florent & Biernacki, Christophe & Celeux, Gilles & Govaert, Gérard, 2015. "Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i06).
    14. Andrew Clark & Fabien Postel-Vinay, 2009. "Job security and job protection," Oxford Economic Papers, Oxford University Press, vol. 61(2), pages 207-239, April.
    15. Jennifer Oser & Marc Hooghe & Zsuzsa Bakk & Roberto Mari, 2023. "Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4915-4933, October.
    16. Ellen Bouchery & Monica Farid, "undated". "Variation in Staff Salary Costs Associated with Characteristics of Substance Use Disorder Treatment Facilities," Mathematica Policy Research Reports 65b1484724354c0ca8270d1c6, Mathematica Policy Research.
    17. Fabian Dvorak, 2020. "stratEst: Strategy Estimation in R," TWI Research Paper Series 119, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    18. Wijesundera, Isuri & Halgamuge, Malka N. & Nirmalathas, Ampalavanapillai & Nanayakkara, Thrishantha, 2016. "MFPT calculation for random walks in inhomogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 986-1002.
    19. Wang, Kun & Marbut, Alexander R. & Suntai, Zainab & Zheng, Dianhan & Chen, Xiayu, 2022. "Patterns in older adults' perceived chronic stressor types and cognitive functioning trajectories: Are perceived chronic stressors always bad?," Social Science & Medicine, Elsevier, vol. 311(C).
    20. Tolu O Oyesanya & Roger L Brown & Lyn S Turkstra, 2017. "Caring for Patients with traumatic brain injury: a survey of nurses' perceptions," Journal of Clinical Nursing, John Wiley & Sons, vol. 26(11-12), pages 1562-1574, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1672-:d:496610. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.