[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/90452.html
   My bibliography  Save this paper

Statistical Literacy and Attitudes Towards Statistics of Romanian Undergraduate Students

Author

Listed:
  • Cimpoeru, Smaranda
  • Roman, Monica
Abstract
Statistical literacy is the capacity to challenge statistics encountered in everyday life (Gal, 2002) and has become a key competence for the entire work-force in today’s data-driven society. However, teaching statistics to non-economists has some particularities determined by their anxiety towards the subject. In order to have a better approach in teaching Statistics to this type of audience, the paper provides an analysis regarding students’ initial level of statistical literacy, the attitudes and beliefs towards Statistics, in the case of undergraduate students of the “Applied Modern Language” program under Bucharest University of Economic Studies. Using the models developed by Gal (2002) and Watson (2003), the results prove that basic statistical literacy skills like graph analysis or table reading are sound, while mathematical level is well below average, correlated with a high anxiety regrading mathematics and preconceptions about complexity of statistics.

Suggested Citation

  • Cimpoeru, Smaranda & Roman, Monica, 2018. "Statistical Literacy and Attitudes Towards Statistics of Romanian Undergraduate Students," MPRA Paper 90452, University Library of Munich, Germany, revised 31 Aug 2018.
  • Handle: RePEc:pra:mprapa:90452
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/90452/1/MPRA_paper_90452.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jim Ridgway, 2016. "Implications of the Data Revolution for Statistics Education," International Statistical Review, International Statistical Institute, vol. 84(3), pages 528-549, December.
    2. Nicholas J. Horton, 2015. "Challenges and Opportunities for Statistics and Statistical Education: Looking Back, Looking Forward," The American Statistician, Taylor & Francis Journals, vol. 69(2), pages 138-145, May.
    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. Liliana Lucaciu, 2019. "Universities’ Contribution to More Effective Public Policies," Book chapters-LUMEN Proceedings, in: Camelia Ignatescu (ed.), 11th LUMEN International Scientific Conference Communicative Action & Transdisciplinarity in the Ethical Society | CATES 2018 | 23-24 November 2018 | , edition 1, volume 7, chapter 15, pages 170-179, Editura Lumen.

    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. Sitsofe Tsagbey & Miguel de Carvalho & Garritt L. Page, 2017. "All Data are Wrong, but Some are Useful? Advocating the Need for Data Auditing," The American Statistician, Taylor & Francis Journals, vol. 71(3), pages 231-235, July.
    2. Kevin Cummiskey & Karsten Lübke, 2022. "Causality in statistics and data science education," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(3), pages 277-286, December.
    3. Constance H. McLaren & Bruce J. McLaren, 2018. "SCOTS: The Searchable Collection of Time Series," INFORMS Transactions on Education, INFORMS, vol. 19(1), pages 12-22, September.
    4. Lisa Dierker & Jane Robertson Evia & Karen Singer-Freeman & Kristin Woods & Janet Zupkus & Alan Arnholt & Elizabeth G Moliski & Natalie Delia Deckard & Kristel Gallagher & Jennifer Rose, 2018. "Project-Based Learning in Introductory Statistics: Comparing Course Experiences and Predicting Positive Outcomes for Students from Diverse Educational Settings," International Journal of Educational Technology and Learning, Scientific Publishing Institute, vol. 3(2), pages 52-64.

    More about this item

    Keywords

    Statistical literacy Statistics education undergraduate non-economists students attitude towards statistics teaching and learning statistics;

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

    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:pra:mprapa:90452. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.