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.
引用
收藏
页码:169 / 179
页数:11
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