Psychological factors associated with quality of life during the coronavirus disease (Covid-19) pandemic: A sem analysis in an context employee

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Dwi Yan Nugraha, Muhammad Jufri, Denny Nurdiansyah, Suardi, Dedi Nasruddin

2020 Journal of Advanced Research in Dynamical and Control Systems Vol. 12 Issue 7 Article Cited by 0 Quartile

Abstract

The lack of researchers and industrial psychologists and organizations that have conducted research related to structural stress (ST), anxiety (AN), and depression (DP) models as the three main psychological factors that are able to influence the quality of life of employees (QOL). Our study aims to build a model that involves ST, AN, and DP in predicting employee QOL during the COVID-19 pandemic through structural equation modeling (SEM) analysis. We investigate the factors that predict QOL by reporting ST, AN, and DP which directly have an effect on QOL for employees, and examine the possibility of a correlation between ST, AN, DP, and QOL. The study also examined whether there were constant differences between employee demographic data (gender, age, educational attainment, marital status, and length of work) related to all variables studied. We involved a sample of 108 employees in three districts in South Sulawesi Province, Indonesia by filling out online instruments. The statistical procedures involved in this study are the index of content validity (CVI), factorial validity (EFA and CFA), covariance-based structural equation modeling (CB-SEM), t-test, and one way ANOVA test. Our findings report that the structural model is valid and reliable. ST, AN, and DP directly affect employee QOL. In addition, QOL was also informed that QOL had a strong and significant correlation with ST, AN, and DP. There were no significant differences in gender, age, educational attainment, and length of work) obtained, except for DP and QOL on marital status. © 2020, Institute of Advanced Scientific Research, Inc.. All rights reserved.

Affiliations

Departement of Psychology, Universitas Negeri Makassar, Makassar, South Sulawesi, Indonesia; Department of Statistics, Universitas Nahdlatul Ulama Sunan Giri Bojonegoro, Indonesia; Department of English, Universitas Gunadarma, Indonesia; Department of Psychology, Universitas Bosowa, Indonesia