IDEAS home Printed from https://ideas.repec.org/a/vrs/offsta/v30y2014i1p23-43n2.html
   My bibliography  Save this article

Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey

Author

Listed:
  • Tijdens Kea

    () (University of Amsterdam, Amsterdam Institute for Advanced Labour Studies (AIAS), Postbus 94025 1090 GA, Amsterdam, The Netherlands)

Abstract

Occupation is key in socioeconomic research. As in other survey modes, most web surveys use an open-ended question for occupation, though the absence of interviewers elicits unidentifiable or aggregated responses. Unlike other modes, web surveys can use a search tree with an occupation database. They are hardly ever used, but this may change due to technical advancements. This article evaluates a three-step search tree with 1,700 occupational titles, used in the 2010 multilingual WageIndicator web survey for UK, Belgium and Netherlands (22,990 observations). Dropout rates are high; in Step 1 due to unemployed respondents judging the question not to be adequate, and in Step 3 due to search tree item length. Median response times are substantial due to search tree item length, dropout in the next step and invalid occupations ticked. Overall the validity of the occupation data is rather good, 1.7-7.5% of the respondents completing the search tree have ticked an invalid occupation.

Suggested Citation

  • Tijdens Kea, 2014. "Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey," Journal of Official Statistics, Sciendo, vol. 30(1), pages 23-43, March.
  • Handle: RePEc:vrs:offsta:v:30:y:2014:i:1:p:23-43:n:2
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/jos.2014.30.issue-1/jos-2014-0002/jos-2014-0002.xml?format=INT
    Download Restriction: no

    References listed on IDEAS

    as
    1. repec:aia:aiaswp:wp102 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Stefano Visintin & Kea Tijdens & Maarten van Klaveren, 2015. "Skill mismatch among migrant workers: evidence from a large multi-country dataset," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-34, December.
    2. Gweon Hyukjun & Schonlau Matthias & Steiner Stefan & Kaczmirek Lars & Blohm Michael, 2017. "Three Methods for Occupation Coding Based on Statistical Learning," Journal of Official Statistics, Sciendo, vol. 33(1), pages 101-122, March.
    3. Schierholz, Malte & Gensicke, Miriam & Tschersich, Nikolai, 2016. "Occupation coding during the interview," IAB Discussion Paper 201617, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Joanna Tyrowicz & Magdalena Smyk & Lucas van der Velde, 2018. "A cautionary note on the reliability of the online survey data - the case of Wage Indicator," GRAPE Working Papers 26, GRAPE Group for Research in Applied Economics.
    5. repec:iab:iabdpa:201813 is not listed on IDEAS
    6. Brian Fabo & Miroslav BEBLAVY & Karolien LENAERTS & Zachary KILHOFFER, 2017. "An overview of European Platforms: Scope and Business Models," JRC Working Papers JRC109190, Joint Research Centre (Seville site).

    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:vrs:offsta:v:30:y:2014:i:1:p:23-43:n:2. 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: (Peter Golla). General contact details of provider: https://www.sciendo.com/services/journals .

    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 CitEc recognized a reference but did not link an item in RePEc 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 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.