The Happy and the Not-so-happy: Discriminant Analysis of Retirees’ Wellbeing in Abu Dhabi

Conference: The Asian Conference on Aging & Gerontology (AGen2022)
Title: The Happy and the Not-so-happy: Discriminant Analysis of Retirees’ Wellbeing in Abu Dhabi
Stream: Aging and Gerontology
Presentation Type: Live-Stream Presentation
Authors:
Masood Badri, Abu Dhabi Department of Community Development and UAE University, United Arab Emirates
Mugheer Alkhaili, Department of Community Development, United Arab Emirates
Hamad Aldhaheri, Department of Community Development, United Arab Emirates
Guang Yang, Department of Community Development, United Arab Emirates
Asma Alrashdi, Department of Community Development, United Arab Emirates

Abstract:

We examine a wide range of wellbeing determinants of retirees in Abu Dhabi. Using data from the second Abu Dhabi Quality of Life survey. A total of 1036 retired persons responded. The retirees were classified as (happy) and (not-so-happy) using the sample mean as the breaking point. Discriminant analysis was used to examine 20 wellbeing predictors. Results produced highly acceptable measurements and statistics. It identified a total of 12 significant predictors (life satisfaction, 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, and housing, satisfaction with education and health services, and satisfaction with public health). The model produced a canonical correlation of (0.792) with a highly significant Wilks’ Lambda (0.001); and could accurately predict 92.6% of the happy ones, and 83.6% of the not-so-happy ones. A final Canonical Discriminant Function is produced for easy calculations and group predictions. Limitation and practical implications are discussed.

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