FACTORS AFFECTING EARLY ELDERLY WORKERS (60-69 YEARS OLD): CASE STUDY IN SARABURI PROVINCE
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Abstract
The purposes of this research was to study the factors affecting early elderly workers (60-69 years old). The study used quantitative research method. Secondary data was used from The survey of the older persons in Thailand 2014, 2017 and 2021 of the National Statistical Office only about Saraburi province. The samples was 323 elderly people aged 60-69 years who wanted to work. Data were analyzed by descriptive statistics; mean, percentage, standard deviation, and inferential statistics, Normal multiple regression with F-test and t-test for hypothesis testing. The study results was found that 5 independent variables were predictive variables; sex, level of education, occupation, work status, income per year had an influence on the dependent variable, number of working hours per week, with a statistical significance of 0.05. The results of this study could be applied as basic data for hiring elderly workers, in order to solve problem of the elderly workers.
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References
Chanaboon, S. (2017). Introduction to statistics and data analysis. Khon Kaen Provincial Public Health Office.
Changprachak, P. (2021). The employment of the elderly in thai society: knowledge from the synthesis of research from thailis digital collection. Burapha University.
Department of Older Persons. (2018). Elderly of Sustainable 4 Change. Bangkok: 3Lada Publishing.
Ministry of Labor. (2019). Elderly Workers. Retrieved from https://www.mol.go.th/sites/default/files/downloads/pdf/prakad_elderly-compensationfor3march2019.pdf
National Statistical Office. (2021). The 2021 Survey of The Older Persons in Thailand. Retrieved from https://www.nso.go.th.
Office of the National Economic and Social Development Council. (2013a). The 12th National Economic and Social Development Plan (2017-2021). Bangkok: Office of the National Economic and Social Development Council.
Office of the National Economic and Social Development Council. (2013b). Population Projections of Thailand: (2010-2040). Bangkok: Office of the National Economic and Social Development Council.
Office of the National Economic and Social Development Council. (2013c). Macroeconomic and socioeconomic data. Bangkok: Office of the National Economic and Social Development Council.
Piyapimonsit, C. (2016). IBM for SPSS statistics. (5th ed.). Retrieved from https://www.watpon.com.
Sangsai, V. (2016). Labor Force Participation of the Thai Elderly: The Case Study of the Affect from Elderly Pension and Environmental Factors. National Institute of Development Administration.
Saraburi Provincial Labor Office. (2011). Report of Analyze to Demand and Supply. Retrieved from https://saraburi.mol.go.th.
Wanichbancha, K. (2006). Statistics for Research. (2th ed.). Chulalongkorn Publishing.
Wanichbancha, K&T. (2023). SPSS for windows. (35th ed). 3Lada Publishing.