IDEAS home Printed from https://ideas.repec.org/a/oup/scippl/v27y2000i1p23-36.html
   My bibliography  Save this article

Scale-independent indicators and research evaluation

Author

Listed:
  • J Sylvan Katz

Abstract

This paper demonstrates that some conventional indicators used in research evaluation may fail to account for the non-linearity between size of institution and performance. This can result in an over- or under-estimation of the research performance of both large and small institutions and nations. This paper shows that a power law relationship exists between recognition or impact and (a) publishing size of scientific communities within an OECD science system and (b) publishing size of a research community across OECD science systems or institutions in a science system. Also, a power law relationship exists between the amount of various types of collaboration and the publishing size of institutions. A new class of scale-independent indicators is developed to overcome the inequity produced by some non-linear characteristics commonly measured when evaluating research performance. Copyright , Beech Tree Publishing.

Suggested Citation

  • J Sylvan Katz, 2000. "Scale-independent indicators and research evaluation," Science and Public Policy, Oxford University Press, vol. 27(1), pages 23-36, February.
  • Handle: RePEc:oup:scippl:v:27:y:2000:i:1:p:23-36
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.3152/147154300781782156
    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.

    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:oup:scippl:v:27:y:2000:i:1:p:23-36. 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: (Oxford University Press) or (Christopher F. Baum). General contact details of provider: .

    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.