Table · dataset · 2026
Data Sheet 1_Trusting self-evaluation: predicting music and language performance from subjective ratings.pdf
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Description
Introduction<p>Subjective self-evaluation is frequently used to assess perceived musical and linguistic competence, but the extent to which such ratings correspond to objectively measured performance, particularly across domains, remains unclear.</p>Methods<p>A total of 104 participants completed objective music tasks assessing singing, melodic discrimination, mistuning perception, and beat perception; language tasks assessing expressive reading, speech imitation, and auditory phonological pattern recognition; and multi-item self-evaluation scales for both domains.
Associations were examined using correlation analyses, hierarchical regression models, and Bland-Altman analyses.</p>Results<p>Subjective self-evaluation and objective performance were moderately associated within both domains but were not interchangeable. Objective music and language performance predicted one another more strongly than cross-domain self-evaluations. Within-domain self-evaluation contributed additional variance to the corresponding performance models.
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Bland-Altman analyses indicated negligible mean bias at the group level but substantial individual disagreement.</p>Discussion<p>Subjective self-evaluation and objective performance capture complementary but theoretically distinct aspects of musical and linguistic ability. Objective assessment therefore remains necessary when performance itself is the target, whereas self-evaluation provides additional information about perceived competence.
Comparable cross-domain association patterns are consistent with partly shared mechanisms across music and language.</p>
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- DOI doi.org/10.3389/fpsyg.2026.1899488.s002 ↗
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- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
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Topics
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- Applied and developmental psychology · Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science
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- Audio 65%
Provenance · 1 source records, 19 field assertions
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