Data for "Work Engagement in the Public Service: a multicultural model" published by RAC-Revista de Administração Contemporânea

Published: 21 Nov 2019 | Version 3 | DOI: 10.17632/g857529zkw.3

Description of this data

The objective of this study is to propose a model to measure work engagement in Brazilian and Portuguese public service. The research is supported by a review of the literature that seeks to delineate the area of organizational behavior, the cross - cultural studies and the hypothetical theoretical model, which presents the ontological vision of the work. The unit of analysis are public institutions of both countries, the sample, which is of the convenience type, was composed of 609 respondents public servants. Three research instruments were used: the Articulación entre la Persona y la organización (APO) of Ramos, Jordão and Morais (2013); the Escala de Satisfação no Trabalho (EST) by Siqueira (2008); and the Utrecht Work Engagement Scale (UWES) tool by Schaufeli, Bakker & Salanova (2006). The results did not reject the hypotheses of the model, both of the Portuguese and Brazilian samples, and the comparison between them shows that in general the Portuguese are more satisfied and more engaged in the work than the Brazilians. The exception was observed only in the hypothetical factors Promotion and Salary.

Experiment data files

Latest version

  • Version 3


    Published: 2019-11-21

    DOI: 10.17632/g857529zkw.3

    Cite this dataset

    TERRA DE ANDRADE, DIEGO CÉSAR (2019), “Data for "Work Engagement in the Public Service: a multicultural model" published by RAC-Revista de Administração Contemporânea”, Mendeley Data, v3


Views: 82
Downloads: 13

Previous versions

Compare to version


Universidade Nove de Julho, Universidade do Porto


Public Administration, Job Satisfaction, Employee Engagement, Cross-Cultural Human Resources, Values


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.