Testing a Revised Measure of Public Service Motivation
Reflective versus Formative Specification
Bibliographic Data
| ID | 6295308 |
|---|---|
| Authors | Kim (0000-0003-2291-5896), Sangmook Kim (0000-0002-0777-6878, Seoul National University of Science and Technology, corresponding author) |
| Year | 2011 |
| Volume | 21 |
| Issue | 3 |
| Pages | 521-546 |
| Publication date | 2011-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Public Administration Research and Theory (JOURNAL) |
| Journal identifiers | ISSN: 1053-1858 • E-ISSN: 1477-9803 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/jopart/muq048 |
| OpenAlex | W2003045844 |
| Language | EN |
| Citations received | 52 |
| References cited | 65 |
Public service motivation (PSM) is perceived as a multidimensional construct, as an overall, unobserved latent variable with various latent dimensions. The present study focuses on the relationships between PSM and its dimensions. The purposes in this study are to confirm a set of revised items as indicators of a rational base of PSM, to compare a four-factor model with various three-factor models, and to analyze whether PSM is defined as a formative or a reflective measurement model. Using survey data from 2,497 firefighters and a revised 12-item measure of PSM, this study shows that the revised items to measure the dimension of attraction to policy making are more appropriate for representing the rational base of PSM and that the original four-factor model is superior to any three-factor models. Based on the discussions about formative and reflective specification and the test results, this study provides theoretical and empirical evidence in support of a second-order, formative approach that PSM is an aggregate construct, meaning that it is a composite of its four dimensions. It also shows that it is necessary to develop more appropriate items for some dimensions of PSM. The practical implications are discussed
Aggregate (composite · Construct (python library · Construct validity · Data mining · Dimension (graph theory · Factor analysis · Formative assessment · Latent variable · Latent variable model · Machine learning · Mathematics education · Measure (data warehouse · Psychometrics · Set (abstract data type · Statistics · Test (biology · Computer Science · Mathematics · Nonprofit Sector and Volunteering · Policing Practices and Perceptions · Psychology · Public Policy and Administration Research · Artificial Intelligence
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| Unique citing works | 52 |
|---|---|
| Citations per year | 3,71 |
| Citation span | 2012 - 2026 (15) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 50 |