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

来源：

JOURNAL OF APPLIED STATISTICS | 2016年 / 43卷 / 01期

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

页码：169 / 179

页数：11

共 41 条

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