Exploring the Patterns of Job Satisfaction for Individuals Aged 50 and over from Three Historical Regions of Romania. An Inductive Approach with Respect to Triangulation, Cross-Validation and Support for Replication of Results

Exploring the Patterns of Job Satisfaction for Individuals Aged 50 and over from Three Historical Regions of Romania. An Inductive Approach with Respect to Triangulation, Cross-Validation and Support for Replication of Results

In this paper, we explore the determinants of being satisfied with a job, starting from a SHARE-ERIC dataset (Wave 7), including responses collected from Romania. To explore and discover reliable predictors in this large amount of data, mostly because of the staggeringly high number of dimensions, w...

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Bibliographic Details
Main Authors: Daniel Homocianu, Aurelian-Petruș Plopeanu, Nelu Florea, Alin Marius Andrieș
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
job satisfaction
data mining (DM)
decision trees
naive Bayes and LASSO
logistic and Poisson regressions with average marginal effects
prediction nomograms
Online Access:https://www.mdpi.com/2076-3417/10/7/2573

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