IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v10y2021i1p11-d476134.html

Subject-Specific Self-Concept and Global Self-Esteem Mediate Risk Factors for Lower Competency in Mathematics and Reading

Author

Listed:
  • Jeffrey M. DeVries

    (Center for Research on Education and School Development, TU Dortmund University, 44227 Dortmund, Germany)

  • Carsten Szardenings

    (Faculty of Statistics, TU Dortmund, 44227 Dortmund, Germany)

  • Philipp Doebler

    (Faculty of Statistics, TU Dortmund, 44227 Dortmund, Germany)

  • Markus Gebhardt

    (Faculty of Human Sciences, Universität Regensburg, 93053 Regensburg, Germany)

Abstract

Self-concept and self-esteem are strongly tied to both academic achievement and risk factors for lower academic achievement. The German National Educational Panel Study (NEPS) provides large-scale representative longitudinal data for mathematics, reasoning as well as risk factors, self-concept and self-esteem. Based on measurements in grades five to nine, this paper produces theory-based partially mediated latent growth models with multiple indicators and mediators. This includes the predictors of special education needs (SEN) status, socioeconomic status (SES), reasoning ability, gender, and school track, with both global self-esteem and subject-specific self-concept as mediators. Significant mediatory relationships are found for SEN, gender, reasoning ability, and school track on grade 5 math and reading competence, but neither direct nor mediated effects on rate of change were found. Implications for researchers and educators are discussed.

Suggested Citation

  • Jeffrey M. DeVries & Carsten Szardenings & Philipp Doebler & Markus Gebhardt, 2021. "Subject-Specific Self-Concept and Global Self-Esteem Mediate Risk Factors for Lower Competency in Mathematics and Reading," Social Sciences, MDPI, vol. 10(1), pages 1-17, January.
  • Handle: RePEc:gam:jscscx:v:10:y:2021:i:1:p:11-:d:476134
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/10/1/11/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2076-0760/10/1/11/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Björklund, Anders & Salvanes, Kjell G., 2011. "Education and Family Background: Mechanisms and Policies," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 3, pages 201-247, Elsevier.
    2. Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), 2011. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 4, number 4, June.
    3. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    4. Janet Currie, 2009. "Healthy, Wealthy, and Wise: Socioeconomic Status, Poor Health in Childhood, and Human Capital Development," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 87-122, March.
    5. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    6. Poon, Kean, 2020. "The impact of socioeconomic status on parental factors in promoting academic achievement in Chinese children," International Journal of Educational Development, Elsevier, vol. 75(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. Elisabeth Bügelmayer & Daniel D. Schnitzlein, 2018. "Is it the family or the neighborhood? Evidence from sibling and neighbor correlations in youth education and health," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(3), pages 369-388, September.
    2. Huebener, Mathias & Kuehnle, Daniel & Spiess, C. Katharina, 2019. "Parental leave policies and socio-economic gaps in child development: Evidence from a substantial benefit reform using administrative data," Labour Economics, Elsevier, vol. 61(C).
    3. Duncan Pieterse, 2015. "Childhood Maltreatment and Educational Outcomes: Evidence from South Africa," Health Economics, John Wiley & Sons, Ltd., vol. 24(7), pages 876-894, July.
    4. Jens Dietrichson & Trine Filges & Rasmus H. Klokker & Bjørn C. A. Viinholt & Martin Bøg & Ulla H. Jensen, 2020. "Targeted school‐based interventions for improving reading and mathematics for students with, or at risk of, academic difficulties in Grades 7–12: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 16(2), June.
    5. Marc Piopiunik, 2011. "Microeconometric Analyses of Education Production in Germany," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 40, April.
    6. Arendt, Jacob Nielsen & Christensen, Mads Lybech & Hjorth-Trolle, Anders, 2021. "Maternal education and child health: Causal evidence from Denmark," Journal of Health Economics, Elsevier, vol. 80(C).
    7. Marc Piopiunik, 2014. "Intergenerational Transmission of Education and Mediating Channels: Evidence from a Compulsory Schooling Reform in Germany," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(3), pages 878-907, July.
    8. M. Shahe Emran & Francisco H. G. Ferreira & Yajing Jiang & Yan Sun, 2023. "Occupational dualism and intergenerational educational mobility in the rural economy: evidence from China and India," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 21(3), pages 743-773, September.
    9. Amin, Vikesh & Lundborg, Petter & Rooth, Dan-Olof, 2015. "The intergenerational transmission of schooling: Are mothers really less important than fathers?," Economics of Education Review, Elsevier, vol. 47(C), pages 100-117.
    10. Julia Bredtmann & Nina Smith, 2018. "Inequalities in Educational Outcomes: How Important Is the Family?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1117-1144, December.
    11. Anders Hjorth-Trolle, 2018. "Beliefs, parental investments, and intergenerational persistence: A formal model," Rationality and Society, , vol. 30(1), pages 108-154, February.
    12. Petter Lundborg & Carl Hampus Lyttkens & Paul Nystedt, 2016. "The Effect of Schooling on Mortality: New Evidence From 50,000 Swedish Twins," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1135-1168, August.
    13. Goel, Deepti & Barooah, Bidisha, 2018. "Drivers of Student Performance: Evidence from Higher Secondary Public Schools in Delhi," GLO Discussion Paper Series 231, Global Labor Organization (GLO).
    14. Georges Steffgen & Philipp E. Sischka & Martha Fernandez de Henestrosa, 2020. "The Quality of Work Index and the Quality of Employment Index: A Multidimensional Approach of Job Quality and Its Links to Well-Being at Work," IJERPH, MDPI, vol. 17(21), pages 1-31, October.
    15. Esef Hakan Toytok & Sungur Gürel, 2019. "Does Project Children’s University Increase Academic Self-Efficacy in 6th Graders? A Weak Experimental Design," Sustainability, MDPI, vol. 11(3), pages 1-12, February.
    16. Silva, Ana Daniela & Vautero, Jaisso & Usssene, Camilo, 2021. "The influence of family on academic performance of Mozambican university students," International Journal of Educational Development, Elsevier, vol. 87(C).
    17. M. A. Bautista & F. Gonz�lez & L. R. Mart�nez & P. Mu�oz & M. Prem, 2020. "Chile’s Missing Students: Dictatorship, Higher Education and Social Mobility," Documentos de Trabajo 18163, Universidad del Rosario.
    18. Hull, Marie C., 2015. "Family Shocks and Academic Achievement," IZA Discussion Papers 9197, IZA Network @ LISER.
    19. John Jerrim & Luis Alejandro Lopez‐Agudo & Oscar David Marcenaro‐Gutierrez, 2021. "Posh but Poor: The Association Between Relative Socio‐Economic Status and Children’s Academic Performance," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 334-362, June.
    20. Bernhard C. Dannemann, 2020. "Peer Effects in Secondary Education: Evidence from the 2015 Trends in Mathematics and Science Study Based on Homophily," Working Papers V-428-20, University of Oldenburg, Department of Economics, revised Feb 2020.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jscscx:v:10:y:2021:i:1:p:11-:d:476134. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.