Multiple measures of tourism-led migrants' subjective well-being. (January 2023)

• Record Type: Journal Article
• Authors: Liang, Zengxian; Luo, Hui; Hui, Takkee
• Is Part Of: Tourism management perspectives. Volume 45(2023)
• Publication Date: 2023-01
• Subjects: Retirement migration -- Tourism entrepreneurial migrant -- Subjective well-being (SWB) -- Satisfaction with life scale (SWLS) -- Positive and negative affect schedule (PANAS) -- Multiple discrepancies theory (MDT); Tourism -- Periodicals; 338.4791
• DOI: 10.1016/j.tmp.2022.101047
• Languages: English
• ISSNs: 2211-9736

Abstract

Abstract: Tourism-led migrants' relocation in pursuit of well-being has become a global research topic. Scholars have established and applied various scales to measure subjective well-being (SWB). Yet studies have tended to use single SWB scales based on a certain case area and a particular subset of tourism-led migrants. Such specificity has hindered a comprehensive understanding of well-being. In this paper, multiple measures were adopted to assess tourism-led migrants' SWB. Measures' reliability and validity were also compared using samples of retirement migrants and tourism entrepreneurial migrants. The measures revealed multiple facets of tourism-led migrants' SWB. The D-T scale exhibited high reliability and validity across samples. Among the three multi-item scales, the MDT scale and SWLS displayed higher reliability and validity than the PNAS. Significant and strong correlations were observed between the D-T scale and the SWLS and between the D-T and MDT scales. Implications and directions for future research are provided. Highlights: This study conducts multiple measures to assess tourism-led migrants' SWB across samples of retirement migrants and tourism entrepreneurial migrants. Retirement migrants exhibited higher SWB than tourism entrepreneurial migrants in general. The D-T scale with single item exhibited high reliability and validity across samples. Among the three multi-item scales, The MDT scale and SWLS displayed higher reliability and validity than the PANAS across samples.