IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v46y2017i2p218-241.html
   My bibliography  Save this article

Controlling for Response Order Effects in Ranking Items Using Latent Choice Factor Modeling

Author

Listed:
  • Ingrid Vriens
  • Guy Moors
  • John Gelissen
  • Jeroen K. Vermunt

Abstract

Measuring values in sociological research sometimes involves the use of ranking data. A disadvantage of a ranking assignment is that the order in which the items are presented might influence the choice preferences of respondents regardless of the content being measured. The standard procedure to rule out such effects is to randomize the order of items across respondents. However, implementing this design may be impractical and the biasing impact of a response order effect cannot be evaluated. We use a latent choice factor (LCF) model that allows statistically controlling for response order effects. Furthermore, the model adequately deals with the known issue of ipsativity of ranking data. Applying this model to a Dutch survey on work values, we show that a primacy effect accounts for response order bias in item preferences. Our findings demonstrate the usefulness of the LCF model in modeling ranking data while taking into account particular response biases.

Suggested Citation

  • Ingrid Vriens & Guy Moors & John Gelissen & Jeroen K. Vermunt, 2017. "Controlling for Response Order Effects in Ranking Items Using Latent Choice Factor Modeling," Sociological Methods & Research, , vol. 46(2), pages 218-241, March.
    • Handle: RePEc:sae:somere:v:46:y:2017:i:2:p:218-241
    DOI: 10.1177/0049124115588997
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124115588997
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124115588997?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:sae:somere:v:46:y:2017:i:2:p:218-241. 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: SAGE Publications (email available below). General contact details of provider: .

    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.