IDEAS home Printed from https://ideas.repec.org/p/ese/iserwp/2001-24.html
   My bibliography  Save this paper

Separating refusal bias and non-contact bias: evidence from UK national surveys

Author

Listed:
  • Lynn, Peter
  • S. Clarke, Paul

Abstract

No abstract is available for this item.

Suggested Citation

  • Lynn, Peter & S. Clarke, Paul, 2001. "Separating refusal bias and non-contact bias: evidence from UK national surveys," ISER Working Paper Series 2001-24, Institute for Social and Economic Research.
    • Handle: RePEc:ese:iserwp:2001-24
    as

    Download full text from publisher

    File URL: https://www.iser.essex.ac.uk/wp-content/uploads/files/working-papers/iser/2001-24.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laura Fumagalli & Heather Laurie & Peter Lynn, 2013. "Experiments with methods to reduce attrition in longitudinal surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 499-519, February.
    2. Jonathan Burton & Heather Laurie & Peter Lynn, 2006. "The long‐term effectiveness of refusal conversion procedures on longitudinal surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 459-478, July.
    3. Chanchani, Shalin & Willett, Roger, 2004. "An empirical assessment of Gray's accounting value constructs," The International Journal of Accounting, Elsevier, vol. 39(2), pages 125-154.
    4. G. Blom, Annelies, 2009. "Explaining cross-country differences in contact rates," ISER Working Paper Series 2009-08, Institute for Social and Economic Research.
    5. Kleinert, Corinna & Ruland, Michael & Trahms, Annette, 2013. "Bias in einem komplexen Surveydesign : Ausfallprozesse und Selektivität in der IAB-Befragung ALWA," FDZ Methodenreport 201302_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Steele, Fiona & Durrant, Gabriele B., 2011. "Alternative approaches to multilevel modelling of survey non-contact and refusal," LSE Research Online Documents on Economics 50113, London School of Economics and Political Science, LSE Library.
    7. G. Blom, Annelies, 2008. "Measuring nonresponse cross-nationally," ISER Working Paper Series 2008-41, Institute for Social and Economic Research.
    8. G. Blom, Annelies, 2009. "Nonresponse bias adjustments: what can process data contribute?," ISER Working Paper Series 2009-21, Institute for Social and Economic Research.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ese:iserwp:2001-24. 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: Jonathan Nears (email available below). General contact details of provider: https://edirc.repec.org/data/rcessuk.html .

    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.