An agenda for best practice research on group singing, health, and well-being
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Authors
Dingle, Genevieve A.Clift, Stephen
Finn, Saoirse
Gilbert, Rebekah
Groarke, Jenny M
Irons, J. Yoon
Jones-Bartoli, Alice
Lamont, Alexandra
Launay, Jacques
Martin, Eleanor S
Moss, Hilary
Sanfilippo, Katie Rose
Shipton, Matthew
Stewart, Lauren
Talbot, Samantha
Tarrant, Mark
Tip, Liesbeth
Williams, Elyse J.
Affiliation
University of DerbyIssue Date
2019-07-10
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Show full item recordAbstract
Research on choirs and other forms of group singing has been conducted for several decades and there has been a recent focus on the potential health and wellbeing benefits, particularly in amateur singers. Experimental, quantitative and qualitative studies show evidence of a range of biopsychosocial and wellbeing benefits to singers; however, there are many challenges to rigour and replicability. To support the advances of research into group singing, the authors met and discussed theoretical and methodological issues to be addressed in future studies. The authors are from five countries and represent the following disciplinary perspectives: music psychology, music therapy, community music, clinical psychology, educational and developmental psychology, evolutionary psychology, health psychology, social psychology, and public health. This paper summarises our collective thoughts in relation to the priority questions for future group singing research, theoretical frameworks, potential solutions for design and ethical challenges, quantitative measures, qualitative methods, and whether there is scope for a benchmarking set of measures across singing projects. With eight key recommendations, the paper sets an agenda for best practice research on group singing.Citation
Dingle, G. A., Clift, S., Finn, S., Gilbert, R., Groarke, J. M., Irons, J. Y., et al (2019) ‘An Agenda for Best Practice Research in Group Singing, Health, and Well-being’. Music & Science, 2, pp. 1-15. DOI: 10.31234/osf.io/68pyt.Publisher
SageJournal
Music and ScienceDOI
10.31234/osf.io/68pytAdditional Links
https://psyarxiv.com/68pyt/Type
ArticleLanguage
enEISSN
20592043ae974a485f413a2113503eed53cd6c53
10.31234/osf.io/68pyt