IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v12y2022i1p21582440221079897.html
   My bibliography  Save this article

Dual Mediating Effects of Information and Communication Technology Resources and Family Satisfaction on COVID-19 Knowledge Among Middle School Students

Author

Listed:
  • Jaewon Lee
  • Jennifer Allen
  • Hyejung Lim
  • Gyuhyun Choi

Abstract

Little is known about underlying pathways regarding how middle school students can improve their COVID-19 knowledge. This study investigates the relationship between subjective poverty and COVID-19 knowledge by considering a dual mediation model. A total of 328 middle school students were included. We used a multiple mediator model developed by Preacher and Hayes, using bootstrapping approach to include a first and sequence mediators. We employed the PROCESS macro 3.4 for SPSS to test the dual mediating effects. Both Information and Communication Technology (ICT) resources and family satisfaction mediated the association between subjective poverty and knowledge about COVID-19. Further, an indirect effect of subjective poverty via the dual mediators of ICT resources and family satisfaction was found. Further, middle school students who more satisfied with their family dynamics and who had more ICT resources were more likely to have greater levels of knowledge about COVID-19. This study contributes to further understanding of pathways between subjective poverty and COVID-19 knowledge in the context of dual mediators. It is imperative to help households in poverty before and since COVID-19; specific financial supports that focus on ICT resources should be provided to increase middle school students’ quality of online learning, which then helps to improve family satisfaction. The pathways influence COVID-19 knowledge.

Suggested Citation

  • Jaewon Lee & Jennifer Allen & Hyejung Lim & Gyuhyun Choi, 2022. "Dual Mediating Effects of Information and Communication Technology Resources and Family Satisfaction on COVID-19 Knowledge Among Middle School Students," SAGE Open, , vol. 12(1), pages 21582440221, March.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:1:p:21582440221079897
    DOI: 10.1177/21582440221079897
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440221079897
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440221079897?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
    ---><---

    References listed on IDEAS

    as
    1. Arie Kapteyn & Peter Kooreman & Rob Willemse, 1988. "Some Methodological Issues in the Implementation of Subjective Poverty Definitions," Journal of Human Resources, University of Wisconsin Press, vol. 23(2), pages 222-242.
    2. East, Patricia & Doom, Jenalee & Delker, Erin & Blanco, Estela & Burrows, Raquel & Correa-Burrows, Paulina & Lozoff, Betsy & Gahagan, Sheila, 2020. "Childhood socioeconomic hardship, family conflict, and young adult hypertension: The Santiago Longitudinal Study," Social Science & Medicine, Elsevier, vol. 253(C).
    Full references (including those not matched with items on IDEAS)

    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. Tomáš Želinský & Martina Mysíková & Thesia I. Garner, 2022. "Trends in Subjective Income Poverty Rates in the European Union," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2493-2516, October.
    2. repec:tiu:tiutis:bdbe10dd-649c-4521-ab28-7aa051a5bf82 is not listed on IDEAS
    3. Ravallion, Martin, 1994. "Measuring Social Welfare with and without Poverty Lines," American Economic Review, American Economic Association, vol. 84(2), pages 359-364, May.
    4. Björn Gustafsson & Li Shi & Hiroshi Sato, 2004. "Can a subjective poverty line be applied to China? Assessing poverty among urban residents in 1999," Journal of International Development, John Wiley & Sons, Ltd., vol. 16(8), pages 1089-1107.
    5. Martin Ravallion & Michael Lokshin, 2001. "Identifying Welfare Effects from Subjective Questions," Economica, London School of Economics and Political Science, vol. 68(271), pages 335-357, August.
    6. Das, J.W.M. & Dominitz, J. & van Soest, A.H.O., 1997. "Comparing Predictions and Outcomes : Theory and Application to Income Changes," Discussion Paper 1997-45, Tilburg University, Center for Economic Research.
    7. Michael Lokshin & Nithin Umapathi & Stefano Paternostro, 2006. "Robustness of subjective welfare analysis in a poor developing country: Madagascar 2001," Journal of Development Studies, Taylor & Francis Journals, vol. 42(4), pages 559-591.
    8. Brun, Martín & Colacce, Maira, 2019. "Medición de la pobreza monetaria en el Uruguay: conceptos, metodologías, evolución y alternativas," Estudios y Perspectivas – Oficina de la CEPAL en Montevideo 44415, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    9. Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002. "Semi-parametric Models for Satisfaction with Income," Discussion Paper 2002-87, Tilburg University, Center for Economic Research.
    10. Ravallion, Martin & Lokshin, Michael, 2003. "On the utility consistency of poverty lines," Policy Research Working Paper Series 3157, The World Bank.
    11. Zhou Xun & Michel Lubrano, 2018. "A Bayesian Measure of Poverty in the Developing World," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(3), pages 649-678, September.
    12. Shabana Mitra, 2016. "Synergies Among Monetary, Multidimensional and Subjective Poverty: Evidence from Nepal," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(1), pages 103-125, January.
    13. Gustafsson, Björn Anders & Yue, Ximing, 2006. "Rural People’s Perception of Poverty in China," IZA Discussion Papers 2486, Institute of Labor Economics (IZA).
    14. Kapteyn, Arie, 1994. "The Measurement of Household Cost Functions: Revealed Preference versus Subjective Measures," Journal of Population Economics, Springer;European Society for Population Economics, vol. 7(4), pages 333-350, November.
    15. Deb, Partha & Gregory, Christian A., 2018. "Heterogeneous impacts of the Supplemental Nutrition Assistance Program on food insecurity," Economics Letters, Elsevier, vol. 173(C), pages 55-60.
    16. Muffels, R.J.A. & Dirven, H.J. & Fouarge, D.J.A.G., 1995. "The dynamics of income and deprivation of three generations of the elderly," WORC Paper 95.08.020/2, Tilburg University, Work and Organization Research Centre.
    17. Ulrich Rendtel & Rolf Langeheine & Roland Berntsen, 1992. "The Estimation of Poverty-Dynamics Using Different Household Income Measures," Discussion Papers of DIW Berlin 56a, DIW Berlin, German Institute for Economic Research.
    18. Maria Cracolici & Francesca Giambona & Miranda Cuffaro, 2014. "Family Structure and Subjective Economic Well-Being: Some New Evidence," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(1), pages 433-456, August.
    19. Peeters, H.M.M., 1989. "Het gebruik van een parametrische en een semi-parametrische schattingsmethode voor het binaire keuzemodel: Probit Maximum Likelihood versus Maximum Score [The use of a parametric and a semi-paramet," MPRA Paper 28104, University Library of Munich, Germany.
    20. Craig Gundersen & David Ribar, 2011. "Food Insecurity And Insufficiency At Low Levels Of Food Expenditures," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(4), pages 704-726, December.
    21. John Bishop & Andrew Grodner & Haiyong Liu & Ismael Ahamdanech-Zarco, 2014. "Subjective poverty equivalence scales for Euro Zone countries," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 265-278, 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:sae:sagope:v:12:y:2022:i:1:p:21582440221079897. 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: SAGE Publications (email available below). General contact details of provider: .

    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.