IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v69y2016i11p5106-5110.html
   My bibliography  Save this article

Business school grading on both sides of the Atlantic

Author

Listed:
  • Lassala, Carlos
  • Burrus, Robert T.
  • Graham, J. Edward

Abstract

This study examines factors that influence academic performance in introductory finance and economics classes in Spain and compares results to those of similar classes in the United States. Unlike in the US, the better-performing students in Spain attend the earliest morning classes, and inadequate sleep does not always significantly associate with lower grades. The Spanish students closer to graduation outperform their less-experienced peers, but the US students delaying taking the introductory class until closer to graduation do not typically do better, or worse. The number of work hours per week outside the university negatively associates with academic performance for students in both the US and Spain. The students attending more classes in the US do better, though insignificant results along these lines are observed in Spain. The findings are relevant because they help to address student and university needs.

Suggested Citation

  • Lassala, Carlos & Burrus, Robert T. & Graham, J. Edward, 2016. "Business school grading on both sides of the Atlantic," Journal of Business Research, Elsevier, vol. 69(11), pages 5106-5110.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:11:p:5106-5110
    DOI: 10.1016/j.jbusres.2016.04.088
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014829631630251X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2016.04.088?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. Voss, Roediger & Gruber, Thorsten & Szmigin, Isabelle, 2007. "Service quality in higher education: The role of student expectations," Journal of Business Research, Elsevier, vol. 60(9), pages 949-959, September.
    2. Charles L. Ballard & Marianne F. Johnson, 2004. "Basic Math Skills and Performance in an Introductory Economics Class," The Journal of Economic Education, Taylor & Francis Journals, vol. 35(1), pages 3-23, January.
    3. Peter W. Schuhmann & KimMarie McGoldrick & Robert T. Burrus, 2005. "Student Quantitative Literacy: Importance, Measurement, and Correlation with Economic Literacy," The American Economist, Sage Publications, vol. 49(1), pages 49-65, March.
    4. Nonis, Sarath A. & Hudson, Gail I. & Philhours, Melodie J. & Teng, Joe K., 2005. "Changes in college student composition and implications for marketing education: revisiting predictors of academic success," Journal of Business Research, Elsevier, vol. 58(3), pages 321-329, March.
    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. Micevski, Milena & Dewsnap, Belinda & Cadogan, John W. & Kadic-Maglajlic, Selma & Boso, Nathaniel, 2019. "Sales intra-functional flexibility: Its relationship to performance and moderating effects on role stressors," Journal of Business Research, Elsevier, vol. 104(C), pages 552-562.

    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. Steve Muchiri & Mihai Paraschiv, 2019. "Where Do Rebounds Go? Using Balls to Teach Price Elasticity of Demand," Journal of Economics Teaching, Journal of Economics Teaching, vol. 4(2), pages 60-75, December.
    2. Mary Ellen Benedict & John Hoag, 2011. "Factors Influencing Performance in Economics: Graphs and Quantitative Usage," Chapters, in: Gail M. Hoyt & KimMarie McGoldrick (ed.), International Handbook on Teaching and Learning Economics, chapter 31, Edward Elgar Publishing.
    3. Melanie A. Fennell & Irene R. Foster, 2021. "Test Format and Calculator Use in the Testing of Basic Math Skills for Principles of Economics: Experimental Evidence," The American Economist, Sage Publications, vol. 66(1), pages 29-45, March.
    4. Angulo-Ruiz, Fernando & Pergelova, Albena & Cheben, Juraj & Angulo-Altamirano, Eladio, 2016. "A cross-country study of marketing effectiveness in high-credence services," Journal of Business Research, Elsevier, vol. 69(9), pages 3636-3644.
    5. Carlos J. Asarta & James R. Schmidt, 2013. "Student Choices of Reduced Seat Time in a Blended Introductory Statistics Course," Working Papers 13-14, University of Delaware, Department of Economics.
    6. Belokrylov, K. & Kivarina, M. & Myasnikov, A. & Ogurtsova, E., 2019. "The Role of Mathematics in Teaching Undergraduate Economics: Students' Opinions and Recommendations," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 116-150.
    7. Bergtold, Jason S. & Yeager, Elizabeth A. & Griffin, Terry W., 2016. "Academic, Demographic and Spatial Factors in the Classroom Affecting Student Performance in Principles of Agricultural Economics Courses," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235930, Agricultural and Applied Economics Association.
    8. Jeffrey J. Green & Courtenay C. Stone & Abera Zegeye & Thomas A. Charles, 2008. "How Much Math Do Students Need to Succeed in Business and Economics Statistics? An Ordered Probit Analysis," Working Papers 200802, Ball State University, Department of Economics, revised Apr 2008.
    9. David Zetland & Carlo Russo & Navin Yavapolkul, 2010. "Teaching Economic Principles: Algebra, Graph or Both?," The American Economist, Sage Publications, vol. 55(1), pages 123-131, May.
    10. Shivangi Dhawan, 2022. "Higher Education Quality and Student Satisfaction: Meta-Analysis, Subgroup Analysis and Meta-Regression," Metamorphosis: A Journal of Management Research, , vol. 21(1), pages 48-66, June.
    11. Tasnádi, Attila & Kánnai, Zoltán & Pintér, Miklós, 2010. "Matematikaoktatás a bolognai típusú gazdasági képzésekben [Maths instruction in Bologna-type economics tuition]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 261-277.
    12. Iryna Zadorozhna & Olha Datskiv & Olena Shon, 2020. "Exploring Students’ Expectations of the University Course," Revista romaneasca pentru educatie multidimensionala - Journal for Multidimensional Education, Editura Lumen, Department of Economics, vol. 12(1Sup1), pages 293-303, March.
    13. Carlos J. Asarta & Austin S. Jennings & Paul W. Grimes, 2017. "Economic Education Retrospective," The American Economist, Sage Publications, vol. 62(1), pages 102-117, March.
    14. Leiv Opstad, 2023. "The Relationship Between Norwegian Business Students’ Attitudes Towards Mathematics And Success In Business Education," International Journal of Teaching and Education, European Research Center, vol. 11(1), pages 47-60, December.
    15. William Bosshardt & Neela Manage, 2011. "Does Calculus Help in Principles of Economics Courses? Estimates Using Matching Estimators," The American Economist, Sage Publications, vol. 56(1), pages 29-37, May.
    16. Sam Allgood & William B. Walstad & John J. Siegfried, 2015. "Research on Teaching Economics to Undergraduates," Journal of Economic Literature, American Economic Association, vol. 53(2), pages 285-325, June.
    17. David Sabiston & Ambrose Leung & Gianfranco Terrazzano, 2017. "Learning styles and performance in principles of economics: does the gender gap exist?," Economics Bulletin, AccessEcon, vol. 37(4), pages 2935-2944.
    18. Carlos J. Asarta & Roger B. Butters & Andrew Perumal, 2013. "Success in Economics Major: Is it Path Dependent?," Working Papers 13-11, University of Delaware, Department of Economics.
    19. Isakin, Maksim & Teplykh, Grigory, 2011. "Research of higher engineering education quality on the base of students Interviewing data by nonlinear principal components analysis (NLPCA)," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 21(1), pages 70-96.
    20. Dino Alves & Ana Balcao Reis & Carmo Seabra & Luis Catela-Nunes, 2015. "Determinants of Academic Success in Economics and Management," Investigaciones de Economía de la Educación volume 10, in: Marta Rahona López & Jennifer Graves (ed.), Investigaciones de Economía de la Educación 10, edition 1, volume 10, chapter 17, pages 335-356, Asociación de Economía de la Educación.

    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:jbrese:v:69:y:2016:i:11:p:5106-5110. 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/locate/jbusres .

    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.