TY - JOUR
T1 - Comparison of a Multidimensional to a Unidimensional Measure of Public Service Motivation
T2 - Predicting Work Attitudes
AU - Kim, Sangmook
N1 - Publisher Copyright:
© 2017 Taylor & Francis Group, LLC.
PY - 2017/5/12
Y1 - 2017/5/12
N2 - 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.
AB - 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.
KW - Hierarchical regression analysis
KW - multidimensional measure
KW - predictive validity
KW - public service motivation
KW - unidimensional measure
KW - work attitudes
UR - http://www.scopus.com/inward/record.url?scp=84965029425&partnerID=8YFLogxK
U2 - 10.1080/01900692.2016.1141426
DO - 10.1080/01900692.2016.1141426
M3 - Article
AN - SCOPUS:84965029425
SN - 0190-0692
VL - 40
SP - 504
EP - 515
JO - International Journal of Public Administration
JF - International Journal of Public Administration
IS - 6
ER -