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

Haoran Song, Siyuan Fan, Qin Han, Feng Jiang and Yibo Wu

No h7px8, OSF Preprints from Center for Open Science

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

Date: 2024-10-10
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:h7px8

DOI: 10.31219/osf.io/h7px8

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