IDEAS home Printed from https://ideas.repec.org/a/taf/amstat/v69y2015i4p397-408.html
   My bibliography  Save this article

Developing a New Interdisciplinary Computational Analytics Undergraduate Program: A Qualitative-Quantitative-Qualitative Approach

Author

Listed:
  • Scotland Leman
  • Leanna House
  • Andrew Hoegh

Abstract

Statistics departments play a vital role in educating students on the analysis of data for obtaining information and discovering knowledge. In the last several years, we have witnessed an explosion of data, which was not imaginable in years past. As a result, the methods and techniques used for data analysis have evolved. Beyond this, the technology used for storing, porting, and computing big data has also evolved, and so now must traditionally oriented statistics departments. In this article, we discuss the development of a new computational modeling program that meets these demands, and we detail how to balance the qualitative and quantitative components of modern day data analyses for statistical education.[Received December 2014. Revised August 2015.]

Suggested Citation

  • 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.
    • Handle: RePEc:taf:amstat:v:69:y:2015:i:4:p:397-408
    DOI: 10.1080/00031305.2015.1090337
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00031305.2015.1090337
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00031305.2015.1090337?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. Robert Gould, 2010. "Statistics and the Modern Student," International Statistical Review, International Statistical Institute, vol. 78(2), pages 297-315, August.
    2. Iddo Gal & Irena Ograjenšek, 2010. "Qualitative Research in the Service of Understanding Learners and Users of Statistics," International Statistical Review, International Statistical Institute, vol. 78(2), pages 287-296, August.
    3. 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. Irena Ograjenšek & Iddo Gal, 2016. "Enhancing Statistics Education by Including Qualitative Research," International Statistical Review, International Statistical Institute, vol. 84(2), pages 165-178, August.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Robert Gould, 2010. "Statistics and the Modern Student," International Statistical Review, International Statistical Institute, vol. 78(2), pages 297-315, August.
    7. 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.
    8. 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.
    9. 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.
    10. Iddo Gal & Irena Ograjenšek, 2016. "Rejoinder: More on Enhancing Statistics Education with Qualitative Ideas," International Statistical Review, International Statistical Institute, vol. 84(2), pages 202-209, August.
    11. Shonda Kuiper & Rodney X. Sturdivant, 2015. "Using Online Game-Based Simulations to Strengthen Students’ Understanding of Practical Statistical Issues in Real-World Data Analysis," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 354-361, November.
    12. Chris J. Wild, 2016. "Discussion: Locating Statistics in the World of Finding Out," International Statistical Review, International Statistical Institute, vol. 84(2), pages 194-202, August.
    13. 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.
    14. Nicholas Jon Horton, 2016. "Discussion: Making Progress in a Crowded Market," International Statistical Review, International Statistical Institute, vol. 84(2), pages 179-181, August.
    15. McLauchlan Cynthia & Schonlau Matthias, 2016. "Statistical Literacy in the Classroom: Should Introductory Statistics Courses Rethink their Goals?," Statistics, Politics and Policy, De Gruyter, vol. 7(1-2), pages 99-115, December.
    16. 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.
    17. Gal Iddo & Ograjenšek Irena, 2017. "Official Statistics and Statistics Education: Bridging the Gap," Journal of Official Statistics, Sciendo, vol. 33(1), pages 79-100, March.
    18. Heejoo Suh & Sohyung Kim & Seonyoung Hwang & Sunyoung Han, 2020. "Enhancing Preservice Teachers’ Key Competencies for Promoting Sustainability in a University Statistics Course," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    19. 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.
    20. 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:taf:amstat:v:69:y:2015:i:4:p:397-408. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/UTAS20 .

    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.