Enhancing the stability of the leisure nostalgia scale: assessment of the measurement invariance between two different leisure populations
journal contribution
posted on 2019-10-11, 09:59 authored by Heetae Cho, Do Young PyunDo Young Pyun, Seunghyun Lim© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Nostalgia has recently garnered attention in the field of leisure, and a leisure nostalgia scale (LNS) has been developed. However, the LNS was initially developed and validated in one Eastern country, Singapore, and has not been tested with other populations for its applicability. Therefore, the purpose of this study was to examine the invariance of the LNS to determine if the specified factorial structure of the scale is identical across different leisure populations in the UK and Singapore. The results showed that the LNS presented the same number of factors from the UK and Singapore data sets and supported the stability of the LNS factor structure, indicating that it can be confidently applied across different leisure populations from different countries. Although the LNS was fairly invariant across the two data sets, the findings revealed three items in socialisation and three items in personal identity to be non-invariant. The results of this study contribute to expanding future nostalgia research and a deeper understanding of leisure nostalgia.
History
School
- Sport, Exercise and Health Sciences
Published in
Leisure StudiesVolume
39Issue
2Pages
294 - 303Publisher
Taylor & Francis (Routledge)Version
- AM (Accepted Manuscript)
Rights holder
© Taylor and FrancisPublisher statement
This is an Accepted Manuscript of an article published by Taylor & Francis in Leisure Studies on 20 Aug 2019, available online: https://doi.org/10.1080/02614367.2019.1653356Acceptance date
2019-08-04Publication date
2019-08-20Copyright date
2019ISSN
0261-4367eISSN
1466-4496Publisher version
Language
- en
Depositor
Dr Do Young PyunUsage metrics
Categories
Keywords
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC