Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3839
Title: | The Confirmatory Factor Analysis of the Job Diagnostic Survey: The Oncology Nursing Setting |
Authors: | Talias, Michael Raftopoulos, Vasilios Charalambous, Andreas |
Major Field of Science: | Medical and Health Sciences |
Field Category: | Health Sciences |
Keywords: | Factor analysis;Job satisfaction;Survey |
Issue Date: | 2012 |
Source: | Journal of Nursing Management, 2012, vol. 21, Pages 273-282 |
Volume: | 21 |
Start page: | 273 |
End page: | 282 |
Journal: | Journal of Nursing Management |
Abstract: | Aim To explore the factorial validity of the five-factor measurement model of the job diagnostic survey (JDS) in ncology settings. Background The research comes as a response to the lack of studies examining the factorial dimensions of the instrument in specific nursing populations. Methods This was a cross-sectional, census survey design including all the oncology departments in Cyprus. The final sample included 398 oncology nurses. Results A confirmatory factor analytic model, based on previous research, was tested. A nidimensional model including all five job characteristics items was found to be the best explanation of the data. This model produced fair-to-good internal consistency estimates. Conclusion The findings supported a shorter version of the JDS as a reliable and factorially valid instrument for use with the oncology nursing population. These promising results should pave the way for further research and the search for more conclusive evidence on the construct validity of the shorter version of the JDS. Implications for Nursing Management Nurse managers should use scales such as the JDS in order to evaluate the oncology nurses job satisfaction, work attitudes and motivation and redesign the job accordingly. |
URI: | https://hdl.handle.net/20.500.14279/3839 |
ISSN: | 13652834 |
DOI: | 10.1111/j.1365-2834.2012.01386.x |
Rights: | © 2012 Blackwell |
Type: | Article |
Affiliation : | Cyprus University of Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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