Dimensions of Work Environment that Impact Job Satisfaction in Clinical Practices of Medical Students During the SARS-CoV-2 Pandemic
Ricardo Prada1, Rodrigo Zarate-Torres2, *, Maria Prada3
Identifiers and Pagination:Year: 2021
First Page: 319
Last Page: 328
Publisher ID: TOPSYJ-14-319
Article History:Received Date: 25/3/2021
Revision Received Date: 26/7/2021
Acceptance Date: 12/8/2021
Electronic publication date: 17/11/2021
Collection year: 2021
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This article deals with the relationship between the work environment and job satisfaction in clinical practices of medical students during the SARS-CoV-2 pandemic. Data are presented that attest to the underlying factor structure, reliability, predictive validity, and factors replicability between groups of the summary measure.
An initial sample of 132 medical students from 3 different universities in Bogotá who carry out Clinical Practice activities in tertiary hospitals provided data for the exploratory factor analysis of this measure and to apply confirmatory factor analysis techniques. The validated instrument WCA is used for the work environment construct and MSQ for the job satisfaction construct. The potential applications of this measure are described, and the implications of these findings for measuring work environment and satisfaction are discussed.
The results of the CFA suggest a good global fit to the data of the proposed measurement model, favorable values of significance (p = 0,014); RMR; AGFI; TLI; CFI; GFI, and RMSEA.
Solid psychometric properties are demonstrated, which prove that there are dimensions of organizational climate that have statistically significant relationships with variables of job satisfaction.