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

CORE Recommender
Show full item record

SCOPUSTM   
Citations

5
checked on Nov 9, 2023

WEB OF SCIENCETM
Citations 50

5
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s) 20

516
Last Week
0
Last month
2
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.