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dc.contributor.advisorKalayanee Senasuth
dc.contributor.authorPichai Tangsathapornphanichth
dc.date.accessioned2022-06-17T07:53:07Z
dc.date.available2022-06-17T07:53:07Z
dc.date.issued2017th
dc.identifier.otherb197612th
dc.identifier.urihttps://repository.nida.ac.th/handle/662723737/5898th
dc.descriptionThesis (Ph.D. (Human Resource and Organization Development))--National Institute of Development Administration, 2017th
dc.description.abstractThe main purpose of this study is to investigate the relationships between happiness and mental health (MH), socioeconomic status (SES), work-life balance (WL), family satisfaction (FS) and community satisfaction (CS). The variables of happiness are consisted of three components: life satisfaction, positive affect and negative affect. There are two elements for mental health: mental capacity (coping ability) and mental quality (kindness and altruism) while socioeconomic status variable is a composite indicator of education and income. We used the secondary data from the National Statistics Office of Thailand. The samples are composed of 8,585 voluntary respondents aged 15 years and over. The data were analyzed using structural equation modelling (SEM) with AMOS version 23.0 in order to test the relationships of factors affecting happiness.th
dc.description.abstractThe findings revealed that happiness was significantly correlated with SES, MH, FS, WL and CS. The correlations between happiness and SES, MH, FS, WL and CS were .32, .31, .22, .14 and .08, respectively. The total effect of SES, MH, FS, WL and CS toward happiness were .35, .306, .316, .165 and .216, respectively. The results suggested that SES, MH and FS were highly correlated with Thai workforce’s happiness while WL and CS had rather low correlation with happiness. Mental health which comprising of coping ability, kindness and altruism played an important role as a partial mediator between happiness and all affecting factors. There was a high statistically significant relationship between FS and CS which the covariance between FS and CS was 0.34. Moreover, the developed SEM model of happiness was proved to be able to predict happiness at an acceptable level of 40% (R2 = 0.4).th
dc.description.provenanceSubmitted by Kwanruthai Kaewjampa (kwanruthai.k@nida.ac.th) on 2022-06-17T07:53:07Z No. of bitstreams: 1 b197612.pdf: 1426881 bytes, checksum: f13512fcd53e066fb8f8816534318261 (MD5)th
dc.description.provenanceMade available in DSpace on 2022-06-17T07:53:07Z (GMT). No. of bitstreams: 1 b197612.pdf: 1426881 bytes, checksum: f13512fcd53e066fb8f8816534318261 (MD5) Previous issue date: 2017th
dc.format.extent90 leavesth
dc.format.mimetypeapplication/pdfth
dc.language.isoength
dc.publisherNational Institute of Development Administrationth
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.th
dc.subject.otherLabor -- Thailandth
dc.titleThe effects of socioeconomic status, work-life balance and mental health on happiness among Thai workforcesth
dc.typeTextth
mods.genreDissertationth
mods.physicalLocationสถาบันบัณฑิตพัฒนบริหารศาสตร์. สำนักบรรณสารการพัฒนาth
thesis.degree.nameDoctor of Philosophyth
thesis.degree.levelDoctoralth
thesis.degree.disciplineHuman Resource and Organization Developmentth
thesis.degree.grantorNational Institute of Development Administrationth
thesis.degree.departmentSchool of Human Resource Developmentth


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