IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Detecting errors in data: clarification of the impact of base rate expectations and incentives

  • Klein, Barbara D.
Registered author(s):

    Organizational databases have a significant rate of data errors and detecting and correcting these errors can be problematic. This paper builds on a stream of research demonstrating that users of these databases can detect data errors under certain circumstances. A theory of error detection and research on the effect of base rate expectations in probabilistic judgement tasks are applied to the development of two propositions about error detection. It is argued that expectations about the base rate of errors in data affect error detection performance when they are developed through direct experience and that incentives affect error detection performance. The two research propositions are tested in a laboratory experiment. Experience-based expectations about the base rate of errors and incentives are found to affect error detection performance.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/B6VC4-43HK1SC-2/2/bdb51edb0ebaa3ef48b7530e4aa561a9
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Omega.

    Volume (Year): 29 (2001)
    Issue (Month): 5 (October)
    Pages: 391-404

    as
    in new window

    Handle: RePEc:eee:jomega:v:29:y:2001:i:5:p:391-404
    Contact details of provider: Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description

    Order Information: Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
    Web: https://shop.elsevier.com/order?id=375&ref=375_01_ooc_1&version=01

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Donald P. Ballou & Harold L. Pazer, 1985. "Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems," Management Science, INFORMS, vol. 31(2), pages 150-162, February.
    2. Grether, David M., . "Bayes Rule as a Descriptive Model: The Representativeness Heuristic," Working Papers 245, California Institute of Technology, Division of the Humanities and Social Sciences.
    3. Ballou, Donald P & Pazer, Harold L, 1987. "Cost/quality tradeoffs for control procedures in information systems," Omega, Elsevier, vol. 15(6), pages 509-521.
    4. Donald P. Ballou & Harold L. Pazer, 1982. "The Impact of Inspector Fallibility on the Inspection Policy in Serial Production Systems," Management Science, INFORMS, vol. 28(4), pages 387-399, April.
    5. Anil Gaba & Robert L. Winkler, 1992. "Implications of Errors in Survey Data: A Bayesian Model," Management Science, INFORMS, vol. 38(7), pages 913-925, July.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:jomega:v:29:y:2001:i:5:p:391-404. 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: (Zhang, Lei)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.