共 41 条
Investigating the determinants of job satisfaction of Italian graduates: a model-based approach
被引:9
|作者:
Capecchi, Stefania
[1
]
Piccolo, Domenico
[1
]
机构:
[1] Univ Naples Federico II, Dept Polit Sci, Naples, Italy
关键词:
job satisfaction;
ordinal data;
cub models;
MIXTURE MODEL;
D O I:
10.1080/02664763.2015.1036844
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
The paper explores the relationship between personal, economic and time-dependent covariates as determinants of the job satisfaction expressed by graduate workers. After discussing the main results of the literature, the work emphasizes a statistical modelling approach able to effectively estimate and visualize those determinants and their interactions with subjects' covariates. Interpretation and visualization of graduates' profiles are shown on the basis of a survey conducted in Italy; more specifically, the determinants of both satisfaction and uncertainty of the respondents are explicitly discussed.
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页码:169 / 179
页数:11
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