Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/15629
Author(s): | Grilo, L. M. Grilo, H. L. Bogas, S. P. Junça Silva, A. |
Date: | 2017 |
Title: | Multinomial logistic regression in worker’s health |
Volume: | 1906 |
Pages: | 1-6 |
ISSN: | 1551-7616 |
ISBN: | 978-0-7354-1596-6 |
DOI (Digital Object Identifier): | 10.1063/1.5012392 |
Keywords: | Logistic regression Burnout |
Abstract: | In European countries, namely in Portugal, it is common to hear some people mentioning that they are exposed to excessive and continuous psychosocial stressors at work. This is increasing in diverse activity sectors, such as, the Services sector. A representative sample was collected from a Portuguese Services’ organization, by applying a survey (internationally validated), which variables were measured in five ordered categories in Likert-type scale. A multinomial logistic regression model is used to estimate the probability of each category of the dependent variable general health perception where, among other independent variables, burnout appear as statistically significant. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | BRU-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
grilo et al 2018.pdf | 287,26 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.