IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Improving retrospective life course data by combining modularized self-reports and event history calendars : experiences from a large scale survey

Listed author(s):
  • Drasch, Katrin


    (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])

  • Matthes, Britta


    (Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany])

Registered author(s):

    "Event history calendars (EHC) have proven to be a useful tool to collect retrospective autobiographic life course data. One problem is that they are only standardized to some extent. This limits their applicability in large-scale surveys. However, in such surveys a modularized retrospective CATI design can be combined with EHC. This data revision module is directly integrated into the interview and used as a data revision module. Hereby insights from cognitive psychology are applied. The data revision module stimulates the respondent's memory retrieval by detecting both temporal inconsistencies, such as gaps, and overlapping or parallel events. This approach was implemented in the IAB-ALWA study (Work and Learning in a Changing World), a large-scale representative telephone survey with 10,000 respondents. By comparing the uncorrected data with the final data after revision, we investigate to what extent the application of this data revision module improves data quality or more precisely, time consistency and dating accuracy of individual reports." (Author's abstract, IAB-Doku) ((en))

    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:
    Download Restriction: no

    Paper provided by Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany] in its series IAB Discussion Paper with number 200921.

    in new window

    Length: 37 pages
    Date of creation: 31 Aug 2009
    Publication status: published in: Quality and Quantity. International Journal of Methodology, Vol. 47, No. 2 (2013), p. 817-838
    Handle: RePEc:iab:iabdpa:200921
    Contact details of provider: Postal:
    Regensburger Str. 104, D-90327 Nürnberg

    Phone: 0911/179-0
    Fax: 0911/179-3258
    Web page:

    More information through EDIRC

    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:iab:iabdpa:200921. 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: (IAB, Geschäftsbereich Dokumentation und Bibliothek)

    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.