Document Type : Research Article


1 Adjunct Professor, IIHRD, Financial District, Gachibowli, Hyderabad 500032

2 Senior Manager, Karvy Stock Broking Limited, Gachibowli, Hyderabad 500032


In this article the author elaborates on the construction and development of Remote
Working, Employee Engagement, Job Satisfaction, Psychological well-being Scales, and
the appropriated statistical methods needed to analyze the respondent’s data, reporting the
results, using secondary data, with psychological well-being as a dependent variable. The
measurement scales constructed are remote working 18 items, with 4 sub-scales; job
engagement 20 items with 5 sub-subscales, work-life balance 18 items are the independent
factors, which have a causal effect on a dependent factor psychological well-being of an
employee which has 8 items with 6 sub-scales. The reliability of the survey instrument
assessed measuring reliability statistic Cronbach alpha, construct validity, and content
validity are tested using face validity and convergent validity taking expert opinion and
factor analysis respectively. As the study is measuring six dependent variables related to the
psychological well-being of an employee, the author has used the statistical procedure
generalized linear model a multivariate multiple regression model, which allows more than
one dependent variable in the system and the results were inferences and presented. The
measured Cronbach’s alpha value indicates that the overall survey instrument was reliable
and maintained internal consistency. The results of GLM indicate statistically gender and
age differences that are influencing the psychological well-being of an employee. A notable
observation was Self-Acceptance was statistically significant and influenced by almost all
the predictor variables. The results were presented in detail and inferences provided
wherever appropriate