IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v243y2019ics0277953619306331.html
   My bibliography  Save this article

Understanding the population structure of the GHQ-12: Methodological considerations in dimensionally complex measurement outcomes

Author

Listed:
  • Griffith, Gareth J.
  • Jones, Kelvyn

Abstract

Mental health and its complexity, measurement and social determinants are increasingly important avenues of research for social scientists. Quantitative social science commonly investigates mental health as captured by population screening metrics. One of the most common of these metrics is the 12-Item General Health Questionnaire (GHQ-12). Despite itscanonical use as an outcome of interest in social science, the traditional use of the summed scores of summed questionnaires carries empirical and substantive assumptions which are often not fully considered or justified in the research. We outline the implications of these assumptions and the restrictions imposed by traditional modelling techniques and advocate for a more nuanced approach to population mental health modelling and inference.

Suggested Citation

  • Griffith, Gareth J. & Jones, Kelvyn, 2019. "Understanding the population structure of the GHQ-12: Methodological considerations in dimensionally complex measurement outcomes," Social Science & Medicine, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:socmed:v:243:y:2019:i:c:s0277953619306331
    DOI: 10.1016/j.socscimed.2019.112638
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953619306331
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2019.112638?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Thomson, Rachel M. & Katikireddi, Srinivasa Vittal, 2018. "Mental health and the jilted generation: Using age-period-cohort analysis to assess differential trends in young people's mental health following the Great Recession and austerity in England," Social Science & Medicine, Elsevier, vol. 214(C), pages 133-143.
    2. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    3. Verheij, Robert A., 1996. "Explaining urban-rural variations in health: A review of interactions between individual and environment," Social Science & Medicine, Elsevier, vol. 42(6), pages 923-935, March.
    4. Propper, Carol & Jones, Kelvyn & Bolster, Anne & Burgess, Simon & Johnston, Ron & Sarker, Rebecca, 2005. "Local neighbourhood and mental health: Evidence from the UK," Social Science & Medicine, Elsevier, vol. 61(10), pages 2065-2083, November.
    5. Oberski, Daniel L., 2014. "Evaluating Sensitivity of Parameters of Interest to Measurement Invariance in Latent Variable Models," Political Analysis, Cambridge University Press, vol. 22(1), pages 45-60, January.
    6. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    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. Sarah Susanne Lütke Lanfer & Ruth Pfeifer & Claas Lahmann & Alexander Wünsch, 2022. "How to Measure the Mental Health of Teachers? Psychometric Properties of the GHQ-12 in a Large Sample of German Teachers," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
    2. Climent Quintana-Domeque & Jingya Zeng & Xiaohui Zhang, 2023. "Internet and mental health during the COVID-19 pandemic: evidence from the UK," Oxford Open Economics, Oxford University Press, vol. 2, pages 433-459.
    3. Cristina Mazza & Eleonora Ricci & Daniela Marchetti & Lilybeth Fontanesi & Serena Di Giandomenico & Maria Cristina Verrocchio & Paolo Roma, 2020. "How Personality Relates to Distress in Parents during the Covid-19 Lockdown: The Mediating Role of Child’s Emotional and Behavioral Difficulties and the Moderating Effect of Living with Other People," IJERPH, MDPI, vol. 17(17), pages 1-13, August.
    4. Mokhtari, MohammadAli, 2023. "Opioids ease my pain: Early-life malnutrition and elderly outcomes," Social Science & Medicine, Elsevier, vol. 327(C).
    5. Etheridge, Ben & Spantig, Lisa, 2022. "The gender gap in mental well-being at the onset of the Covid-19 pandemic: Evidence from the UK," European Economic Review, Elsevier, vol. 145(C).

    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. Bell, Andrew, 2014. "Life-course and cohort trajectories of mental health in the UK, 1991–2008 – A multilevel age–period–cohort analysis," Social Science & Medicine, Elsevier, vol. 120(C), pages 21-30.
    2. Kelvyn Jones & David Manley & Ron Johnston & Dewi Owen, 2018. "Modelling residential segregation as unevenness and clustering: A multilevel modelling approach incorporating spatial dependence and tackling the MAUP," Environment and Planning B, , vol. 45(6), pages 1122-1141, November.
    3. Ocaña-Riola, Ricardo & Sánchez-Cantalejo, Carmen & Fernández-Ajuria, Alberto, 2006. "Rural habitat and risk of death in small areas of Southern Spain," Social Science & Medicine, Elsevier, vol. 63(5), pages 1352-1362, September.
    4. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    5. Buddhavarapu, Prasad & Bansal, Prateek & Prozzi, Jorge A., 2021. "A new spatial count data model with time-varying parameters," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 566-586.
    6. Yoon, Junghyun & Lee, Hee Yong & Dinwoodie, John, 2015. "Competitiveness of container terminal operating companies in South Korea and the industry–university–government network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 1-14.
    7. Mumtaz, Haroon & Theodoridis, Konstantinos, 2017. "Common and country specific economic uncertainty," Journal of International Economics, Elsevier, vol. 105(C), pages 205-216.
    8. Blanchflower, David G. & Oswald, Andrew J., 2008. "Is well-being U-shaped over the life cycle?," Social Science & Medicine, Elsevier, vol. 66(8), pages 1733-1749, April.
    9. Jesse Elliott & Zemin Bai & Shu-Ching Hsieh & Shannon E Kelly & Li Chen & Becky Skidmore & Said Yousef & Carine Zheng & David J Stewart & George A Wells, 2020. "ALK inhibitors for non-small cell lung cancer: A systematic review and network meta-analysis," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-18, February.
    10. Md. Mominur Rahman & Bilkis Akhter, 2021. "The impact of investment in human capital on bank performance: evidence from Bangladesh," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    11. Christina Leuker & Thorsten Pachur & Ralph Hertwig & Timothy J. Pleskac, 2019. "Do people exploit risk–reward structures to simplify information processing in risky choice?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 76-94, August.
    12. Usunier, Jean-Claude, 1998. "Oral pleasure and expatriate satisfaction: an empirical approach," International Business Review, Elsevier, vol. 7(1), pages 89-110, February.
    13. Abdul Kadar Muhammad Masum & Md Abul Kalam Azad & Loo-See Beh, 2015. "Determinants of Academics' Job Satisfaction: Empirical Evidence from Private Universities in Bangladesh," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-15, February.
    14. Amolo Elvis Juma Amolo & Charles Mallans Rambo & Charles Misiko Wafula, 2024. "Hedging Derivatives and Performance of Renewable Energy Projects in Kenya," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(8), pages 619-630, August.
    15. Sharma, Vivek & Bhat, Dada Ab Rouf, 2020. "An empirical study exploring the relationship among human capital innovation, service innovation, competitive advantage and employee productivity in hospitality services," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2), pages 1-14..
    16. Francois Olivier & Laval Guillaume, 2011. "Deviance Information Criteria for Model Selection in Approximate Bayesian Computation," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-25, July.
    17. Deepak, 2016. "Antecedent Value of Professional Commitment and Job Involvement in Determining Job Satisfaction," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 41(2), pages 154-164, May.
    18. Raggi, Davide & Bordignon, Silvano, 2012. "Long memory and nonlinearities in realized volatility: A Markov switching approach," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3730-3742.
    19. Abernethy, Margaret A. & Vagnoni, Emidia, 2004. "Power, organization design and managerial behaviour," Accounting, Organizations and Society, Elsevier, vol. 29(3-4), pages 207-225.
    20. Angelica Gianfreda & Francesco Ravazzolo & Luca Rossini, 2023. "Large Time‐Varying Volatility Models for Hourly Electricity Prices," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 545-573, 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:eee:socmed:v:243:y:2019:i:c:s0277953619306331. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.