IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/h7px8.html
   My bibliography  Save this paper

A Concise and Widely Applicable Tool for Measuring Motivation in Public Services, China

Author

Listed:
  • Song, Haoran
  • Fan, Siyuan
  • Han, Qin
  • jiang, Feng
  • Wu, Yibo

Abstract

Objective To develop a more concise and practical tool to assess public service motivation for the whole population. (to make up for the fact that the previous tools in this field are too long and only applicable to specific groups). Methods Adopting a cross-sectional design, 45,830 respondents from mainland China, Hong Kong and Macao completed the PSM-SF, from which we randomly selected 1000 participants. Combining ant colony optimization and factor loadings for item selection. Psychometric properties of the PSM-SF assessed included internal consistency reliability, content validity, structural validity, convergent validity and discriminant validity. Latent profile analysis (LPA) and receiver operating characteristic (ROC) analyses were undertaken to calculate the cutoff values of the scale. Findings We identified four dimensions: Attraction to Public Service (APS), Commitment to Public Values (CPV), Compassion (COM), Self-Sacrifice (SS), two items were kept in each dimension. The scale's Cronbach's alpha = 0.882, SCVI/Ave = 0.94, χ²/df = 4.412, RMSEA = 0.058. The cutoff score is 27 points. Conclusion The PSM-SF is a valid instrument for measuring public service motivation and suitable for measuring the general population. Promoting the use of the tool can identify the lack of public service personnel in various scenarios in China and take timely measures to promote social stability, shared responsibility, and shared resources. Key words Public service motivation; latent profile analysis; ant colony optimization; cutoff values

Suggested Citation

  • Song, Haoran & Fan, Siyuan & Han, Qin & jiang, Feng & Wu, Yibo, 2024. "A Concise and Widely Applicable Tool for Measuring Motivation in Public Services, China," OSF Preprints h7px8, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:h7px8
    DOI: 10.31219/osf.io/h7px8
    as

    Download full text from publisher

    File URL: https://osf.io/download/6707b5f1cd7a1eadf8b9320f/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/h7px8?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
    ---><---

    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:osf:osfxxx:h7px8. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.