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

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