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

Analytical modeling in complex surveys of work practices

  • Jerome P. Reiter
  • Elaine L. Zanutto
  • Larry W. Hunter
Registered author(s):

    Quantitative industrial relations research frequently relies on data collected from large surveys of establishments that use complex sampling designs, such as stratified and unequal probability sampling. The authors analyze two complex surveys of establishments, the National Organizations Survey and the National Survey of Establishments. They discuss design-based (survey-weighted) and model-based (unweighted) strategies for analyzing these data. They show that the choice of strategy can affect inferences about parameters, and hence conclusions drawn from analyses. They discuss the advantages of model-based approaches that include independent variables corresponding to design features, such as functions of size measures or indicator variables for strata or clusters, relative to purely design-based approaches. (Free full-text download available at http://digitalcommons.ilr.cornell.edu/ilrreview/.)

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Article provided by ILR Review, Cornell University, ILR School in its journal ILR Review.

    Volume (Year): 59 (2005)
    Issue (Month): 1 (October)
    Pages: 82-100

    as
    in new window

    Handle: RePEc:ilr:articl:v:59:y:2005:i:1:p:82-100
    Contact details of provider: Fax: 607-255-8016
    Web page: http://www.ilr.cornell.edu/ilrreview/

    More information through EDIRC

    Order Information: Postal: 381 Ives East, Cornell University, Ithaca, NY 14853-3901
    Web: http://digitalcommons.ilr.cornell.edu/ilrreview/ Email:


    No references listed on IDEAS
    You can help add them by filling out this form.

    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:ilr:articl:v:59:y:2005:i:1:p:82-100. 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: (ILR Review)

    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.