IDEAS home Printed from https://ideas.repec.org/a/bla/istatr/v78y2010i2p271-286.html
   My bibliography  Save this article

On Becoming a Statistician—A Qualitative View

Author

Listed:
  • Peter Petocz
  • Anna Reid

Abstract

In this paper, we highlight some qualitative facets of the discipline of statistics and argue that a qualitative approach, in particular a qualitative methodology known as phenomenography, allows us to research important aspects of statistics pedagogy. We summarize several components of our recent research into students' conceptions of statistics, their learning of statistics, our teaching of statistics, and their perceptions of their future professional work. We have obtained this information on the basis of analyses of several series of interviews with students studying statistics, both as statistics majors and as service students. In each of these cases, the broadest views relate in some way to personal connection, growth, and change. In other words, they contain a strong ontological component—focusing on being or becoming a statistician—above and beyond the standard epistemological component—focusing on the knowledge required to do statistics. We discuss the importance of personal change in becoming a statistician, or an informed professional user of statistics, and investigate the pedagogical conditions under which such change is likely to occur. Dans cet article, nous mettons en évidence certaines propriétés qualitatives de la discipline des statistiques et suggérons qu'une approche qualitative, en particulier une méthodologie qualitative connue sous le nom de phénomenographie, permet de rechercher des aspects importants de la pédagogie des statistiques. Nous présentons un résumé de notre recherche récente sur les conceptions des étudiants en statistiques, leurs études des statistiques, notre enseignement des statistiques, et leurs perceptions de leur travail professionnel dans le future. Nous avons obtenu cette information sur la base d'analyses de plusieurs séries d'entrevues avec des étudiants en statistiques. Dans chacun des cas étudiés, les sentiments exprimés se rapportent a l'expérience, la croissance et aux changements personels. En d'autres termes, ils contiennent une large composante ontologique – se concentrant sur être ou devenir un statisticien – au‐dessus et au delà du composant épistémologique – se concentrant sur la connaissance exigée pour faire des statistiques. Nous discutons l'importance du changement personnel pour devenir un statisticien, ou un utilisateur professionnel compétent, et étudions les conditions pédagogiques dans lesquelles un tel changement est susceptible de se produire.

Suggested Citation

  • Peter Petocz & Anna Reid, 2010. "On Becoming a Statistician—A Qualitative View," International Statistical Review, International Statistical Institute, vol. 78(2), pages 271-286, August.
  • Handle: RePEc:bla:istatr:v:78:y:2010:i:2:p:271-286
    DOI: 10.1111/j.1751-5823.2010.00101.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1751-5823.2010.00101.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1751-5823.2010.00101.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. Joan Garfield & Dani Ben‐Zvi, 2007. "How Students Learn Statistics Revisited: A Current Review of Research on Teaching and Learning Statistics," International Statistical Review, International Statistical Institute, vol. 75(3), pages 372-396, December.
    2. Chris Wild, 2007. "Virtual Environments and the Acceleration of Experiential Learning," International Statistical Review, International Statistical Institute, vol. 75(3), pages 322-335, December.
    3. Joan B. Garfield & Iddo Gal, 1999. "Assessment and Statistics Education: Current Challenges and Directions," International Statistical Review, International Statistical Institute, vol. 67(1), pages 1-12, April.
    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. 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.
    2. Thomas King, 2013. "A framework for analysing social sequences," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 167-191, January.
    3. 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.
    4. 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.

    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. Dina El Kayaly, 2013. "Towards more real-live teachings of business statistics: a Review of Challenges, Teaching Innovations and Strategies for Reform in Egypt," Working Papers 2013/21, Maastricht School of Management.
    2. Chris Wild, 2007. "Virtual Environments and the Acceleration of Experiential Learning," International Statistical Review, International Statistical Institute, vol. 75(3), pages 322-335, December.
    3. Chris J. Wild & Maxine Pfannkuch & Matt Regan & Ross Parsonage, 2017. "Accessible Conceptions of Statistical Inference: Pulling Ourselves Up by the Bootstraps," International Statistical Review, International Statistical Institute, vol. 85(1), pages 84-107, April.
    4. Robert Gould, 2010. "Statistics and the Modern Student," International Statistical Review, International Statistical Institute, vol. 78(2), pages 297-315, August.
    5. 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.
    6. Ángel Peiró-Signes & Óscar Trull & Marival Segarra-Oña & J. Carlos García-Díaz, 2020. "Attitudes Towards Statistics in Secondary Education: Findings from fsQCA," Mathematics, MDPI, vol. 8(5), pages 1-17, May.
    7. Constance H. McLaren & Bruce J. McLaren, 2014. "Possible or Probable? An Experiential Approach to Probability Literacy," INFORMS Transactions on Education, INFORMS, vol. 14(3), pages 129-136, May.
    8. 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.
    9. Forney Andrew & Mueller Scott, 2022. "Causal inference in AI education: A primer," Journal of Causal Inference, De Gruyter, vol. 10(1), pages 141-173, January.
    10. David Delgado-Gómez & Franks González-Landero & Carlos Montes-Botella & Aaron Sujar & Sofia Bayona & Luca Martino, 2020. "Improving the Teaching of Hypothesis Testing Using a Divide-and-Conquer Strategy and Content Exposure Control in a Gamified Environment," Mathematics, MDPI, vol. 8(12), pages 1-14, December.
    11. Sinjini Mitra, 2023. "How Are Students Learning in a Business Statistics Course? Evidence from Both Direct and Indirect Assessment," INFORMS Transactions on Education, INFORMS, vol. 23(2), pages 95-103, January.

    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:78:y:2010:i:2:p:271-286. 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.