IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v7y2023i7p1150-1163.html
   My bibliography  Save this article

Multilevel Analysis of Student and School Variables Responsible for the Differentials in Mathematics Achievement: Evidence from the TIMMS 2015-Botswana

Author

Listed:
  • Jane Iloanya

    (Associate Professor, Department of Education, Botho University, Gaborone, Botswana)

  • Emmanuel Zhanda

    (Fellow, Faculty of Business and Accounting, Botho University, Maseru, Lesotho)

  • Asitha Kodippili

    (Associate Professor, Department of Mathematics and Computer Science, Fayetteville State University (FSU), North Carolina, USA)

Abstract

Mathematics literacy is essential for all further learning and future careers of students, therefore, the poor performance of Botswana Junior Certificate learners in Mathematics is very concerning. This study adopted an exploratory research design which utilized the TIMSS 2015 data to analyse student and school variables responsible for the differentials in mathematics achievement. TIMSS represents Trends in International Mathematics and Science Study. The socio-economic status of students’ parents, location of schools, and students’ gender in Botswana Junior Certificate students’ mathematics achievement were explored through the Multilevel (Hierarchical) Linear Model (HLM) to predict the mathematics achievement of the students. The data used for this study was derived from that of the tenth grade Botswana students; a total of 5964 (female = 3030, male = 2934) Botswana tenth graders from 159 schools who participated in TIMMS 2015.Based on the findings of the study, recommendations were made on some interventions to help improve students’ self-efficacy and confidence in mathematics.

Suggested Citation

  • Jane Iloanya & Emmanuel Zhanda & Asitha Kodippili, 2023. "Multilevel Analysis of Student and School Variables Responsible for the Differentials in Mathematics Achievement: Evidence from the TIMMS 2015-Botswana," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(7), pages 1150-1163, July.
    • Handle: RePEc:bcp:journl:v:7:y:2023:i:7:p:1150-1163
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-7-issue-7/1150-1163.pdf
    Download Restriction: no
    File URL: https://www.rsisinternational.org/journals/ijriss/articles/multilevel-analysis-of-student-and-school-variables-responsible-for-the-differentials-in-mathematics-achievement-evidence-from-the-timms-2015-botswana/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oakes, J. Michael & Rossi, Peter H., 2003. "The measurement of SES in health research: current practice and steps toward a new approach," Social Science & Medicine, Elsevier, vol. 56(4), pages 769-784, February.
    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. Hoeck, Sarah & François, Guido & Van der Heyden, Johan & Geerts, Joanna & Van Hal, Guido, 2011. "Healthcare utilisation among the Belgian elderly in relation to their socio-economic status," Health Policy, Elsevier, vol. 99(2), pages 174-182, February.
    2. David Yoon Kin Tong & Chau Keng Tee & Hishamuddin Ismail, 2016. "Developing the Profile of Green Consumer and Family Decision Making Model: A Review," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 282-291, September.
    3. Isabelle Roskam & Jean-Christophe Meunier & Marie Stievenart, 2015. "From Parents to Siblings and Peers," SAGE Open, , vol. 5(4), pages 21582440156, October.
    4. Aue, Katja & Roosen, Jutta, 2010. "Poverty and health behaviour: Comparing socioeconomic status and a combined poverty indicator as a determinant of health behaviour," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116401, European Association of Agricultural Economists.
    5. Shoham, David A. & Vupputuri, Suma & Kaufman, Jay S. & Kshirsagar, Abhijit V. & Diez Roux, Ana V. & Coresh, Josef & Heiss, Gerardo, 2008. "Kidney disease and the cumulative burden of life course socioeconomic conditions: The Atherosclerosis Risk in Communities (ARIC) Study," Social Science & Medicine, Elsevier, vol. 67(8), pages 1311-1320, October.
    6. Szanton, Sarah L. & Thorpe, Roland J. & Whitfield, Keith, 2010. "Life-course financial strain and health in African-Americans," Social Science & Medicine, Elsevier, vol. 71(2), pages 259-265, July.
    7. Mejía-Guevara, Iván, 2015. "Economic inequality and intergenerational transfers: Evidence from Mexico," The Journal of the Economics of Ageing, Elsevier, vol. 5(C), pages 23-32.
    8. William Boyce & Torbjorn Torsheim & Candace Currie & Alessio Zambon, 2006. "The Family Affluence Scale as a Measure of National Wealth: Validation of an Adolescent Self-Report Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 78(3), pages 473-487, September.
    9. Rabia Khalaila, 2016. "Depression statuses and related predictors in later life: A 10-year follow-up study in Israel," European Journal of Ageing, Springer, vol. 13(4), pages 311-321, December.
    10. Martin Korndörfer & Boris Egloff & Stefan C. Schmukle, 2015. "A Large Scale Test of the Effect of Social Class on Prosocial Behavior," Working Papers 1601, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    11. Jian Sun & Shoujun Lyu & Zheng Dai, 2019. "The impacts of socioeconomic status and lifestyle on health status of residents: Evidence from Chinese General Social Survey data," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(4), pages 1097-1108, October.
    12. Angelo d’Errico & Fulvio Ricceri & Silvia Stringhini & Cristian Carmeli & Mika Kivimaki & Mel Bartley & Cathal McCrory & Murielle Bochud & Peter Vollenweider & Rosario Tumino & Marcel Goldberg & Marie, 2017. "Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-32, May.
    13. Jason R. D. Rarick & Carly Tubbs Dolan & Wen‐Jui Han & Jun Wen, 2018. "Relations Between Socioeconomic Status, Subjective Social Status, and Health in Shanghai, China," Social Science Quarterly, Southwestern Social Science Association, vol. 99(1), pages 390-405, March.
    14. Fujishiro, Kaori & Xu, Jun & Gong, Fang, 2010. "What does "occupation" represent as an indicator of socioeconomic status?: Exploring occupational prestige and health," Social Science & Medicine, Elsevier, vol. 71(12), pages 2100-2107, December.
    15. Theall, Katherine P. & Brett, Zoë H. & Shirtcliff, Elizabeth A. & Dunn, Erin C. & Drury, Stacy S., 2013. "Neighborhood disorder and telomeres: Connecting children's exposure to community level stress and cellular response," Social Science & Medicine, Elsevier, vol. 85(C), pages 50-58.
    16. Pai, Jieun & DeVoe, Sanford E. & Pfeffer, Jeffrey, 2020. "How income and the economic evaluation of time affect who we socialize with outside of work," Organizational Behavior and Human Decision Processes, Elsevier, vol. 161(C), pages 158-175.
    17. Scharoun-Lee, Melissa & Adair, Linda S. & Kaufman, Jay S. & Gordon-Larsen, Penny, 2009. "Obesity, race/ethnicity and the multiple dimensions of socioeconomic status during the transition to adulthood: A factor analysis approach," Social Science & Medicine, Elsevier, vol. 68(4), pages 708-716, February.
    18. Yuwei Qi & Annemarie Koster & Martin van Boxtel & Sebastian Köhler & Miranda Schram & Nicolaas Schaper & Coen Stehouwer & Hans Bosma, 2019. "Adulthood Socioeconomic Position and Type 2 Diabetes Mellitus—A Comparison of Education, Occupation, Income, and Material Deprivation: The Maastricht Study," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    19. Jana Uher, 2020. "Measurement in metrology, psychology and social sciences: data generation traceability and numerical traceability as basic methodological principles applicable across sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 975-1004, June.
    20. Allen, Jaime & Muñoz, Juan Carlos & Rosell, Jordi, 2019. "Effect of a major network reform on bus transit satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 310-333.

    More about this item

    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:bcp:journl:v:7:y:2023:i:7:p:1150-1163. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://www.rsisinternational.org/journals/ijriss/ .

    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.