IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vviy2003i3-4p109-120.html
   My bibliography  Save this article

Can Non-Expert’ Users Analyse Data? A Survey And A Methodological Approach

Author

Listed:
  • Spinakis Antonis
  • Pantouvakis Angelos
  • Thalassinos Lefteris

Abstract

Nowadays, statistical methods are applied in a vast extent of different disciplines by a lot of people that, very often, have a rather little knowledge of statistics. This fact can lead to misuse of statistical methods. The statistical community has recognized this fact and now statistical packages try to offer some guidance to their users. This paper presents the design of a statistical package, oriented to users with medium or little knowledge of statistics. The results of a survey about the user requirements of such software are presented. The general architecture and the functionality of the system are discussed.

Suggested Citation

  • Spinakis Antonis & Pantouvakis Angelos & Thalassinos Lefteris, 2003. "Can Non-Expert’ Users Analyse Data? A Survey And A Methodological Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(3-4), pages 109-120, July - De.
    • Handle: RePEc:ers:journl:v:vi:y:2003:i:3-4:p:109-120
    as

    Download full text from publisher

    File URL: http://www.ersj.eu/repec/ers/papers/03_34-p8.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. G. A. Karathanassis & S. N. Spilioti, 2004. "An Empirical Examination of Traditional Equity Valuation Models: The case of the Athens Stock Exchange," European Research Studies Journal, European Research Studies Journal, vol. 0(1-2), pages 133-142.

    More about this item

    Keywords

    semi-expert system; attributes; user requirements; statistical practice;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

    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:ers:journl:v:vi:y:2003:i:3-4:p:109-120. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.