An instrument for measuring job satisfaction (VIJS): A validation study for community pharmacists in the context of the COVID-19 pandemic in Vietnam

Thuy Thi Phuong Nguyen, Giang Thi Huong Truong, Huong Thi Thanh Nguyen, Cuc Thi Thu Nguyen, Dai Xuan Dinh and Binh Thanh Nguyen

PLOS ONE, 2022, vol. 17, issue 11, 1-12

Abstract: Background: Job satisfaction is one of the main factors creating and bringing about work motivation, productivity, and efficiency as well as decreasing job-hopping and job turnover. No previous studies have been conducted to assess job satisfaction for community pharmacists in Vietnam. Objective: This research was conducted to develop and validate an instrument used to measure community pharmacists’ job satisfaction in the context of the COVID-19 pandemic in Vietnam. Methods and results: A total of 351 pharmacists participated in this survey. Data were analyzed using R software version 4.2.0. The final instrument (VIJS) has 34 items divided into six factors which were determined via a parallel analysis (including physical working conditions, work nature, income and other benefits, management policies and managers, relationships with coworkers and customers, and learning and advancement opportunities). VIJS’s internal consistency was excellent (Cronbach’s alpha = 0.97, Omega total = 0.98, split-half reliability = 0.985, and composite reliability>0.8). Two-week test-retest reliability results (intraclass correlation coefficient for the overall instrument: 0.97, for six factors: 0.865–0.938) demonstrated the consistency of the VIJS when the same test was repeated on the same sample (62 pharmacists) at different points in time. The Confirmatory Factor Analysis was employed to assess the construct validity. The VIJS was a good fit to a six-factor model (Chisq/df = 2.352, Comparative Fit Index = 0.937, Tucker-Lewis Index = 0.929, Standardized Root Mean Square Residual = 0.042, and Root Mean Square Error of Approximation = 0.062). VIJS’s good convergent and discriminant validity was demonstrated via Average Variance Extrated>0.5 and the Heterotrait-Monotrait ratio of correlations

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0276918

DOI: 10.1371/journal.pone.0276918

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