IDEAS home Printed from https://ideas.repec.org/a/bla/istatr/v71y2003i2p461-467.html
   My bibliography  Save this article

The Future Direction of Statistical Training for the Promotion of Cooperation between Government and Academy

Author

Listed:
  • Yunkee Ahn
  • Buhn Nam
  • Chul Eung Kim

Abstract

Summary A survey was carried out showing that the knowledge of academic statisticians about the governmental data needs to be improved. We also state the current cooperative activities between government and academy, university education program, and statistical training program by the Korean National Statistical Office. We present some suggestions to promote cooperation between academia and government. Résumé L'enquête a été effectuée et il est découvert que les connaissances des statisticiens de l'académie sur les données gouvernementales ont besoin d'être améliorées. Nous présentons aussi les activités coopératives actuelles entre le gouvernement et l'académie, le programme de l'éducation universitaire, le programme d'apprentissage pour la statistique par le Bureau Statistique National de Corée (Korean National Statistical Office). Nous proposons quelques suggestions pour promouvoir la coopération entre l'académie et le gouvernement.

Suggested Citation

  • Yunkee Ahn & Buhn Nam & Chul Eung Kim, 2003. "The Future Direction of Statistical Training for the Promotion of Cooperation between Government and Academy," International Statistical Review, International Statistical Institute, vol. 71(2), pages 461-467, August.
    • Handle: RePEc:bla:istatr:v:71:y:2003:i:2:p:461-467
    DOI: 10.1111/j.1751-5823.2003.tb00486.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1751-5823.2003.tb00486.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1751-5823.2003.tb00486.x?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
    ---><---

    References listed on IDEAS

    as
    1. David S. Moore, 1997. "New Pedagogy and New Content: The Case of Statistics," International Statistical Review, International Statistical Institute, vol. 65(2), pages 123-137, August.
    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. Claudia Vásquez & Ángel Alsina, 2021. "Analysing Probability Teaching Practices in Primary Education: What Tasks Do Teachers Implement?," Mathematics, MDPI, vol. 9(19), pages 1-21, October.
    2. Deborah Nolan & Duncan Temple Lang, 2007. "Dynamic, Interactive Documents for Teaching Statistical Practice," International Statistical Review, International Statistical Institute, vol. 75(3), pages 295-321, December.
    3. Adam R. Cocco & Matthew Katz & Marion E. Hambrick, 2021. "Co-Attendance Communities: A Multilevel Egocentric Network Analysis of American Soccer Supporters’ Groups," IJERPH, MDPI, vol. 18(14), pages 1-18, July.
    4. Robert Gould, 2010. "Statistics and the Modern Student," International Statistical Review, International Statistical Institute, vol. 78(2), pages 297-315, August.
    5. Maria Jureckova & Lucia Csachova, 2020. "Statistical literacy of Slovak lower secondary school students," Technium Social Sciences Journal, Technium Science, vol. 9(1), pages 163-173, July.
    6. Gilberte Schuyten & Olivier Thas, 2007. "Statistical Thinking in Computer‐Based Learning Environments," International Statistical Review, International Statistical Institute, vol. 75(3), pages 365-371, December.
    7. Scotland Leman & Leanna House & Andrew Hoegh, 2015. "Developing a New Interdisciplinary Computational Analytics Undergraduate Program: A Qualitative-Quantitative-Qualitative Approach," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 397-408, November.
    8. Paula Carroll & Arthur White, 2017. "Identifying Patterns of Learner Behaviour: What Business Statistics Students Do with Learning Resources," INFORMS Transactions on Education, INFORMS, vol. 18(1), pages 1-13, September.
    9. Tommy Soesmanto & Suzanne Bonner, 2018. "Dual mode delivery in introductory statistics: Design and evaluation," Discussion Papers in Economics economics:201801, Griffith University, Department of Accounting, Finance and Economics.
    10. Peter K. Dunn & Michael D. Carey & Michael B. Farrar & Alice M. Richardson & Christine McDonald, 2017. "Introductory Statistics Textbooks and the GAISE Recommendations," The American Statistician, Taylor & Francis Journals, vol. 71(4), pages 326-335, October.

    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:bla:istatr:v:71:y:2003:i:2:p:461-467. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/isiiinl.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.