Open AccessThe Development and Validation of Job Satisfaction Questionnaire for Health Workforce
Author(s) -
Nurul Fatma Diyana Ahmad,
Alex Kim Ren Jye,
Zubalqiah Zulkifli,
Mohamad Adam Bujang
Publication year - 2020
Publication title -
the malaysian journal of medical sciences/the malaysian journal of medical science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 25
eISSN - 2180-4303
pISSN - 1394-195X
DOI - 10.21315/mjms2020.27.6.12
Subject(s) - cronbach's alpha , job satisfaction , workforce , face validity , content validity , psychology , goodness of fit , structural equation modeling , applied psychology , reliability (semiconductor) , test (biology) , statistics , nursing , mathematics , social psychology , medicine , clinical psychology , psychometrics , political science , power (physics) , physics , quantum mechanics , law , paleontology , biology
Background This study aims to develop and validate a job satisfaction questionnaire (JS-Q) for health workforce who are employed by a healthcare institution. Methods The study consists of six phases which begins with eliciting a conceptual understanding of the subject matter which is then followed by questions development, designing the overall structure and format of the questionnaire, assessing both its content validity and face validity, conducting a pilot study and finally a field test. A sample of study respondents who were permanent hospital staff above 18 years of age had been recruited from three government hospitals in Kuching, Sarawak, Malaysia. Results The finalised JS-Q consists of a total of 34 questions that were based on 8 domains. For all these 8 domains, the minimum loading of each item on the factors was calculated to be at least 0.500, its coefficient of Cronbach’s alpha was calculated to be at least 0.750 and its corrected item-total correlation was calculated to be at least 0.500. The goodness of fit of the model was determined to be satisfactory with a value of Chi-square/df < 3.0, and a value of root mean square error approximation (RMSEA) < 0.8 and finally with both Tucker Lewis index (TLI) and comparative fit index (CFI) > 0.9. Conclusion This newly developed and validated questionnaire (JS-Q) is found to be a valid and reliable study instrument for assessing job satisfaction among health workforce.