IDEAS home Printed from https://ideas.repec.org/a/taf/lpadxx/v40y2017i6p504-515.html
   My bibliography  Save this article

Comparison of a Multidimensional to a Unidimensional Measure of Public Service Motivation: Predicting Work Attitudes

Author

Listed:
  • Sangmook Kim

Abstract

Significant research has been conducted to understand public service motivation (PSM) in the past decades using either multidimensional or unidimensional measures. This creates uncertainty in the review process about whether findings using one approach hold when other measures are used. PSM research faces the challenge of developing a better understanding of different PSM measures and the relationships between them. This paper compares a multidimensional to a unidimensional measure of PSM, assessing the predictive validity of PSM on job satisfaction, organizational commitment, and person–organization fit. The empirical test shows that there is no significant difference in the predictive capacities of PSM on the work attitudes within the data set when using the different PSM measures. It provides some evidence that unidimensional and multidimensional measures of PSM are of comparable utility, at least within the data set used.

Suggested Citation

  • Sangmook Kim, 2017. "Comparison of a Multidimensional to a Unidimensional Measure of Public Service Motivation: Predicting Work Attitudes," International Journal of Public Administration, Taylor & Francis Journals, vol. 40(6), pages 504-515, May.
    • Handle: RePEc:taf:lpadxx:v:40:y:2017:i:6:p:504-515
    DOI: 10.1080/01900692.2016.1141426
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01900692.2016.1141426
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01900692.2016.1141426?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:lpadxx:v:40:y:2017:i:6:p:504-515. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lpad .

    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.