Multinomial logistic regression in worker’s health

dc.contributor.authorGrilo, L. M.
dc.contributor.authorGrilo, H. L.
dc.contributor.authorBogas, S. P.
dc.contributor.authorJunça Silva, A.
dc.date.accessioned2018-04-17T10:28:55Z
dc.date.available2018-04-17T10:28:55Z
dc.date.issued2017
dc.date.updated2018-04-17T10:28:05Z
dc.description.abstractIn 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.por
dc.distributionInternacionalpor
dc.identifier.doi10.1063/1.5012392
dc.identifier.isbn978-0-7354-1596-6
dc.identifier.issn1551-7616por
dc.identifier.urihttps://ciencia.iscte-iul.pt/id/ci-pub-47599
dc.identifier.urihttp://hdl.handle.net/10071/15629
dc.journalAIP Conference Proceedingspor
dc.language.isoengpor
dc.pagination1-6por
dc.peerreviewedyespor
dc.publicationstatusPublicadopor
dc.publisherAmerican Institute of Physicspor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147442/PTpor
dc.rightsopen access
dc.subjectLogistic regressionpor
dc.subjectBurnoutpor
dc.titleMultinomial logistic regression in worker’s healthpor
dc.typeconferenceObjecten_US
dc.volume1906por
degois.publication.firstPage1por
degois.publication.lastPage6por
degois.publication.titleAIP Conference Proceedingspor
dspace.entity.typePublicationen

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