IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15882-d987327.html
   My bibliography  Save this article

High Achievers from Low Family Socioeconomic Status Families: Protective Factors for Academically Resilient Students

Author

Listed:
  • Yan Yan

    (School of Psychology, Northeast Normal University, Changchun 130024, China)

  • Xiaosong Gai

    (School of Psychology, Northeast Normal University, Changchun 130024, China)

Abstract

Students with low family socioeconomic status (SES) often have lower academic achievement than their peers with high family SES, as has been widely demonstrated. Nevertheless, there is a group of students beating the odds and achieving academic excellence despite the socio-economic background of their families. The students who have the capacity to overcome adversities and achieve successful educational achievements are referred to as academically resilient students. This study’s purpose was to identify the protective factors among academically resilient students. A total of 46,089 students from 303 primary schools in grade 6, 55,477 students from 256 junior high schools in grade 9, and 37,856 students from 66 high schools in grade 11 in a city in northeast China participated in the large-scale investigation. Students completed a structured questionnaire to report their demographic information, psychological characteristics, and three academic tests. A causal comparative research model was applied to determine significant protective factors associated with resilient students (referring to students are resilient if they are among the 25% most socio-economically disadvantaged students in their city but are able to achieve the top 25% or above in all three academic domains). Multivariable logistic regression analyses found that the intrinsic protective factors for resilient students included higher proportion of academic importance identity, higher proportion of achievement approaching motivation, longer-term future educational expectation, and more positive academic emotion compared with non-resilient students; the extrinsic protective factors included parents’ higher proportion of positive expectations for their children’ future development, as well as more harmonious peer and teacher–student relationships. The results of this study provide important targets for psychological intervention of disadvantaged students, and future intervention studies can increase their likelihood of becoming resilient students by improving their recognition of the importance of learning, stronger motivation for achievement approaching, longer-term expectations for future academic careers, and positive academic emotions and harmonious teacher–student relationships.

Suggested Citation

  • Yan Yan & Xiaosong Gai, 2022. "High Achievers from Low Family Socioeconomic Status Families: Protective Factors for Academically Resilient Students," IJERPH, MDPI, vol. 19(23), pages 1-13, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15882-:d:987327
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15882/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/23/15882/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tommaso Agasisti & Sergio Longobardi, 2014. "Educational institutions, resources, and students' resiliency: an empirical study about OECD countries," Economics Bulletin, AccessEcon, vol. 34(2), pages 1055-1067.
    2. Piko, Bettina & Fitzpatrick, Kevin M., 2001. "Does class matter? SES and psychosocial health among Hungarian adolescents," Social Science & Medicine, Elsevier, vol. 53(6), pages 817-830, September.
    3. Tommaso Agasisti & Mara Soncin & Riccardo Valenti, 2016. "School factors helping disadvantaged students to succeed: empirical evidence from four Italian cities," Policy Studies, Taylor & Francis Journals, vol. 37(2), pages 147-177, March.
    4. Sabino Kornrich & Frank Furstenberg, 2013. "Investing in Children: Changes in Parental Spending on Children, 1972–2007," Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 1-23, February.
    5. Agasisti, Tommaso & Longobardi, Sergio, 2014. "Inequality in education: Can Italian disadvantaged students close the gap?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 52(C), pages 8-20.
    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. Xavier Perafita & Marc Saez, 2023. "Housing Supply and How It Is Related to Social Inequalities—Air Pollution, Green Spaces, Crime Levels, and Poor Areas—In Catalonia," IJERPH, MDPI, vol. 20(8), 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. Tommaso Agasisti & Sergio Longobardi & Andrea Regoli, 2014. "Does public spending improve educational resilience? A longitudinal analysis of OECD-PISA data," Working papers 3, Società Italiana di Economia Pubblica.
    2. Oscar David Marcenaro-Gutierrez & Luis Alejandro Lopez-Agudo, 2021. "The back of the coin in resilience: on the characteristics of advantaged low-achieving students," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(1), pages 323-383, April.
    3. Tommaso Agasisti & Francesco Avvisati & Francesca Borgonovi & Sergio Longobardi, 2021. "What School Factors are Associated with the Success of Socio-Economically Disadvantaged Students? An Empirical Investigation Using PISA Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 749-781, September.
    4. Abdulmumini Baba Alfa & Abdulmumini Baba Alfa & Mohd Zaini Abd Karim, 2016. "Student Enthusiasm as a Key Determinant of their Performance," International Review of Management and Marketing, Econjournals, vol. 6(2), pages 237-245.
    5. Meroni, Elena Claudia & Piazzalunga, Daniela & Pronzato, Chiara D., 2018. "Use of Extra-School Time and Child Behaviours: Evidence from the UK," IZA Discussion Papers 11606, Institute of Labor Economics (IZA).
    6. Sergio Longobardi & Margherita Maria Pagliuca & Andrea Regoli, 2018. "Can problem-solving attitudes explain the gender gap in financial literacy? Evidence from Italian students’ data," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1677-1705, July.
    7. Emily Beam & Priya Mukherjee & Laia Navarro-Sola, 2022. "Lowering Barriers to Remote Education: Experimental Impacts on Parental Responses and Learning," Working Papers 2022-030, Human Capital and Economic Opportunity Working Group.
    8. Michelle Maroto, 2018. "Saving, Sharing, or Spending? The Wealth Consequences of Raising Children," Demography, Springer;Population Association of America (PAA), vol. 55(6), pages 2257-2282, December.
    9. Xihua Zeng & Weiwei Li & Yun Wang & Jie Li & Xiaorui Huang & Xinyao Li, 2017. "Normative Importance of Money, Family Income, and Self-Esteem: A Multilevel Latent Modeling Analysis of Data from Chinese Early Adolescents," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(3), pages 1247-1262, February.
    10. Nicholas A. Wright, 2024. "Girls Dominate, Boys Left Behind: Decomposing the Gender Gap in Education Outcomes in Jamaica," Working Papers 2410, Florida International University, Department of Economics.
    11. Huebener, Mathias & Kuger, Susanne & Marcus, Jan, 2017. "Increased instruction hours and the widening gap in student performance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47, pages 15-34.
    12. Blanco-Varela, Bruno & Amoedo, José Manuel & Sánchez-Carreira, María Carmen, 2024. "Analysing ability grouping in secondary school: A way to improve academic performance and mitigate educational inequalities in Spain?," International Journal of Educational Development, Elsevier, vol. 107(C).
    13. Concepción Moreno-Maldonado & Antonia Jiménez-Iglesias & Francisco Rivera & Carmen Moreno, 2020. "Characterization of Resilient Adolescents in the Context of Parental Unemployment," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(2), pages 681-702, April.
    14. Tamotsu Nakamura, 2018. "Solow meets Stone–Geary: Technological progress and the demographic transition," Metroeconomica, Wiley Blackwell, vol. 69(4), pages 768-790, November.
    15. Christopher Wimer & Zachary Parolin & Anny Fenton & Liana Fox & Christopher Jencks, 2020. "The Direct Effect of Taxes and Transfers on Changes in the U.S. Income Distribution, 1967–2015," Demography, Springer;Population Association of America (PAA), vol. 57(5), pages 1833-1851, October.
    16. Sulis, Isabella & Giambona, Francesca & Porcu, Mariano, 2020. "Adjusted indicators of quality and equity for monitoring the education systems over time. Insights on EU15 countries from PISA surveys," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    17. Angelica Hobjilă, 2019. "The Idea of “Inequality” in Alternative Textbooks for Primary School," Revista romaneasca pentru educatie multidimensionala - Journal for Multidimensional Education, Editura Lumen, Department of Economics, vol. 11(1), pages 301-311, March.
    18. Anna Rybińska, 2021. "Trends in Intentions to Remain Childless in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(4), pages 661-672, August.
    19. Frank F. Furstenberg, 2014. "Fifty Years of Family Change," The ANNALS of the American Academy of Political and Social Science, , vol. 654(1), pages 12-30, July.
    20. Cui, Ying & Liu, Hong & Zhao, Liqiu, 2019. "Mother's education and child development: Evidence from the compulsory school reform in China," Journal of Comparative Economics, Elsevier, vol. 47(3), pages 669-692.

    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:19:y:2022:i:23:p:15882-:d:987327. 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.