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Journal of Applied Statistics Volume 43, 2016 - Issue 1: Statistics in Education
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Original Articles

Investigating the determinants of job satisfaction of Italian graduates: a model-based approach

Stefania CapecchiDepartment of Political Sciences, University of Naples Federico II, Naples, Italy
&
Domenico PiccoloDepartment of Political Sciences, University of Naples Federico II, Naples, ItalyCorrespondence[email protected]
Pages 169-179 | Received 14 Feb 2014, Accepted 30 Mar 2015, Published online: 15 Jun 2015

Citations (7)

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Gerhard Tutz & Micha Schneider. (2019) Flexible uncertainty in mixture models for ordinal responses. Journal of Applied Statistics 46:9, pages 1582-1601.
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Articles from other publishers (6)

Yi Li & Xinpeng Wang. (2022) Chinese ideological and political teachers’ job satisfaction, loving pedagogy, and their professional success. Frontiers in Psychology 13.
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Giovanni Cerulli, Rosaria Simone, Francesca Di Iorio, Domenico Piccolo & Christopher F. Baum. (2022) Fitting mixture models for feeling and uncertainty for rating data analysis. The Stata Journal: Promoting communications on statistics and Stata 22:1, pages 195-223.
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Wenjing Han. (2022) Chinese English as a Foreign Language Teachers’ Job Satisfaction, Resilience, and Their Psychological Well-Being. Frontiers in Psychology 12.
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Janina Jędrzejczak-Gas & Joanna Wyrwa. (2020) Determinants of job satisfaction in a transport company: a Polish case study. Equilibrium. Quarterly Journal of Economics and Economic Policy 15:3, pages 565-593.
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Domenico Piccolo & Rosaria Simone. (2019) The class of cub models: statistical foundations, inferential issues and empirical evidence. Statistical Methods & Applications 28:3, pages 389-435.
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Gennaro Punzo, Rosalia Castellano & Mirko Buonocore. (2017) Job Satisfaction in the “Big Four” of Europe: Reasoning Between Feeling and Uncertainty Through CUB Models. Social Indicators Research 139:1, pages 205-236.
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