IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v47y2013i1p137-150.html
   My bibliography  Save this article

Use of hypotheses for analysis of variance models: challenging the current practice

Author

Listed:
  • Floryt Wesel
  • Hennie Boeije
  • Herbert Hoijtink

Abstract

In social science research, hypotheses about group means are commonly tested using analysis of variance. While deemed to be formulated as specifically as possible to test social science theory, they are often defined in general terms. In this article we use two studies to explore the current practice concerning group mean hypotheses. The first study consists of a content analysis of published articles where the reconstructed reality of hypotheses use is explored. The second study is a qualitative interview study with researchers, adding information about daily practice. We argue that, at present, hypotheses are not used to their utmost potential and that progress can be made by using informative hypotheses instead of the current non-informative hypotheses. Informative hypotheses capitalize on knowledge that researchers already possess and enable them to focus in their proceeding projects. The substantive focus of our work is the case of applied psychology. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Floryt Wesel & Hennie Boeije & Herbert Hoijtink, 2013. "Use of hypotheses for analysis of variance models: challenging the current practice," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 137-150, January.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:1:p:137-150
    DOI: 10.1007/s11135-011-9508-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-011-9508-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-011-9508-z?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.

    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:spr:qualqt:v:47:y:2013:i:1:p:137-150. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.