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

DOI10.1080/02664763.2015.1036844OpenAlexW2206658007MaRDI QIDQ5137980

Stefania Capecchi, Domenico Piccolo

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1036844

zbMATH Keywords

ordinal datacub modelsjob satisfaction

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Parametric inference (62Fxx)

Related Items (2)

Flexible uncertainty in mixture models for ordinal responses ⋮ The class of \textsc{cub} models: statistical foundations, inferential issues and empirical evidence

Uses Software

• CUB
• catdata

Cites Work

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• Modelling shelter choices in a class of mixture models for ordinal responses
• On the identifiability of a mixture model for ordinal data
• A mixture model for preferences data analysis
• Modeling rating data with nonlinear CUB models
• Are CEOs Rewarded for Luck? The Ones Without Principals Are
• Regression for Categorical Data
• HierarchicalCUBModels for Ordinal Variables
• Modelling Uncertainty and Overdispersion in Ordinal Data

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