Austin Health

Title
How accurate are self-evaluations of singing ability?
Publication Date
2023-12
Author(s)
Yeom, Daniel
Stead, Kendall S
Tan, Yi Ting
McPherson, Gary E
Wilson, Sarah J
Subject
self-assessment
self-report
singing
singing engagement
singing questionnaire
Type of document
Journal Article
OrcId
0000-0002-1281-6299
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DOI
10.1111/nyas.15081
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.
Link
Citation
Annals of the New York Academy of Sciences 2023-12; 1530(1)
Jornal Title
Annals of the New York Academy of Sciences
ISSN
1749-6632

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