TITLE:
Well-Being of Retirees in Abu Dhabi—A Discriminant Analysis of the Happy and the Not-So-Happy Groups
AUTHORS:
Masood Badri, Mugheer Al Khaili, Hamad Al Dhaheri, Guang Yang, Muna Al Bahar, Asma Al Rashdi
KEYWORDS:
Retirees, Happiness, Well-Being, Discriminant Analysis, Abu Dhabi
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.10 No.3,
March
4,
2022
ABSTRACT: We examined a wide range of well-being determinants of retirees in Abu
Dhabi using data from the second cycle of Abu Dhabi Quality-of-Life Survey. The survey included scales of happiness, life
satisfaction, social relations, subjective physical and mental health, housing,
income, education, environment, and community social support and services. A
total of 1036 retired persons responded
to the survey. The retirees were classified into two groups: happy and not-so-happy,
using the sample mean as the breaking point to reflect more representation.
Discriminant analysis was used to examine 20 well-being predictors. Results
produced highly acceptable measurements and statistics. The analysis identified
a total of 12 significant predictors, including life satisfaction, social relations, services for vulnerable
groups, income, trust in public services, self-rated mental health,
satisfaction with environmental surroundings, feeling of safety and security, social investment, satisfaction with housing, satisfaction with education and health services, and satisfaction with public
health support. The model produced a canonical correlation of 0.792 with a
highly significant Wilks’ Lambda (0.001) and could accurately predict 92.71% of
the happy retiree group and 91.25% of the not-so-happy group. A final Canonical
Discriminant Function was produced for easy calculations and group predictions.
Limitation and practical implications were also discussed.