IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v157y1994i3p317-338.html
   My bibliography  Save this article

Deconstructing Statistical Questions

Author

Listed:
  • David J. Hand

Abstract

Too much current statistical work takes a superficial view of the client's research question, adopting techniques which have a solid history, a sound mathematical basis or readily available software, but without considering in depth whether the questions being answered are in fact those which should be asked. Examples, some familiar and others less so, are given to illustrate this assertion. It is clear that establishing the mapping from the client's domain to a statistical question is one of the most difficult parts of a statistical analysis. It is a part in which the responsibility is shared by both client and statistician. A plea is made for more research effort to go in this direction and some suggestions are made for ways to tackle the problem.

Suggested Citation

  • David J. Hand, 1994. "Deconstructing Statistical Questions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 157(3), pages 317-338, May.
  • Handle: RePEc:bla:jorssa:v:157:y:1994:i:3:p:317-338
    DOI: 10.2307/2983526
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2983526
    Download Restriction: no

    File URL: https://libkey.io/10.2307/2983526?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. Nelder, John A., 1992. "Statistical packages and unbalanced data," Computational Statistics & Data Analysis, Elsevier, vol. 14(3), pages 403-406, October.
    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. Andrea Saltelli & Arnald Puy, 2023. "What can mathematical modelling contribute to a sociology of quantification?," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    2. Duo Qin & Sophie van Huellen & Qing Chao Wang & Thanos Moraitis, 2022. "Algorithmic Modelling of Financial Conditions for Macro Predictive Purposes: Pilot Application to USA Data," Econometrics, MDPI, vol. 10(2), pages 1-22, April.
    3. David J. Hand, 2022. "Trustworthiness of statistical inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 329-347, January.
    4. Hand, David J., 2009. "Mining the past to determine the future: Problems and possibilities," International Journal of Forecasting, Elsevier, vol. 25(3), pages 441-451, July.
    5. Ross Taplin, 2007. "Enhancing statistical education by using role‐plays of consultations," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 267-300, March.

    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.

      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:jorssa:v:157:y:1994:i:3:p:317-338. 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/rssssea.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.