IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v49y2015i1p349-363.html
   My bibliography  Save this article

The quality of work in public universities with no-parametric statistical models

Author

Listed:
  • Benedetto Torrisi

    ()

Abstract

The existing studies investigating well-being in public universities indicate that there are unresolved issues: how does one measure the quality of work and the quality of the organisation in the university sector? What is the quality of life for Italian researchers in the workplace? What information can provide results in terms of suggesting new governance structures? The aim of this study is to answer these questions using a sample survey and the results obtained from the PIR 2012 project, “Productivity of Italian Researchers”. The information is obtained from micro data at a highly specific level and represents a first step toward an in-depth examination of an issue that is related more to theory than to empirical analysis. This objective was achieved through multivariate statistical models that determine the relationship between the quality of work, the quality of the organisation and governance policies. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Benedetto Torrisi, 2015. "The quality of work in public universities with no-parametric statistical models," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 349-363, January.
  • Handle: RePEc:spr:qualqt:v:49:y:2015:i:1:p:349-363
    DOI: 10.1007/s11135-014-9990-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-014-9990-1
    Download Restriction: Access to full text is restricted to subscribers.

    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:49:y:2015:i:1:p:349-363. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.