Back to Search Start Over

How accurate are self‐evaluations of singing ability?

Authors :
Yeom, Daniel
Stead, Kendall S.
Tan, Yi Ting
McPherson, Gary E.
Wilson, Sarah J.
Source :
Annals of the New York Academy of Sciences. Dec2023, Vol. 1530 Issue 1, p87-95. 9p.
Publication Year :
2023

Abstract

Research has shown that people inaccurately assess their own abilities on self‐report measures, including academic, athletic, and music ability. Evidence suggests this is also true for singing, with individuals either overestimating or underestimating their level of singing competency. In this paper, we present the Melbourne Singing Tool Questionnaire (MST‐Q), a brief 16‐item measure exploring people's self‐perceptions of singing ability and engagement with singing. Using a large sample of Australian twins (n = 996), we identified three latent factors underlying MST‐Q items and examined whether these factors were related to an objective phenotypic measure of singing ability. The three factors were identified as Personal Engagement, Social Engagement, and Self‐Evaluation. All factors were positively associated with objective singing performance, with the Self‐Evaluation factor yielding the strongest correlation (r = 0.66). Both the Self‐Evaluation factor and a single self‐report item of singing ability shared the same predictive strength. Contrary to expectations, our findings suggest that self‐evaluation strongly predicts singing ability, and this self‐evaluation is of higher predictive value than self‐reported engagement with music and singing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00778923
Volume :
1530
Issue :
1
Database :
Academic Search Index
Journal :
Annals of the New York Academy of Sciences
Publication Type :
Academic Journal
Accession number :
174236541
Full Text :
https://doi.org/10.1111/nyas.15081