Assessing music perception in young children: Evidence for and psychometric features of the M-factor
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3389/fnins.2017.00018 http://hdl.handle.net/11449/174180 |
Resumo: | Given the relationship between language acquisition and music processing, musical perception (MP) skills have been proposed as a tool for early diagnosis of speech and language difficulties; therefore, a psychometric instrument is needed to assess music perception in children under 10 years of age, a crucial period in neurodevelopment. We created a set of 80 musical stimuli encompassing seven domains of music perception to inform perception of tonal, atonal, and modal stimuli, in a random sample of 1006 children, 6-13 years of age, equally distributed from first to fifth grades, from 14 schools (38% private schools) in So Paulo State. The underlying model was tested using confirmatory factor analysis. A model encompassing seven orthogonal specific domains (contour, loudness, scale, timbre, duration, pitch, and meter) and one general music perception factor, the m-factor, showed excellent fit indices. The m-factor, previously hypothesized in the literature but never formally tested, explains 93% of the reliable variance in measurement, while only 3.9% of the reliable variance could be attributed to the multidimensionality caused by the specific domains. The 80 items showed no differential item functioning based on sex, age, or enrolment in public vs. private school, demonstrating the important psychometric feature of invariance. Like Charles Spearman's g-factor of intelligence, the m-factor is robust and reliable. It provides a convenient measure of auditory stimulus apprehension that does not rely on verbal information, offering a new opportunity to probe biological and psychological relationships with music perception phenomena and the etiologies of speech and language disorders. |
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Assessing music perception in young children: Evidence for and psychometric features of the M-factorAssessmentBifactor modelChildrenHearingMusic perceptionPsychometricsGiven the relationship between language acquisition and music processing, musical perception (MP) skills have been proposed as a tool for early diagnosis of speech and language difficulties; therefore, a psychometric instrument is needed to assess music perception in children under 10 years of age, a crucial period in neurodevelopment. We created a set of 80 musical stimuli encompassing seven domains of music perception to inform perception of tonal, atonal, and modal stimuli, in a random sample of 1006 children, 6-13 years of age, equally distributed from first to fifth grades, from 14 schools (38% private schools) in So Paulo State. The underlying model was tested using confirmatory factor analysis. A model encompassing seven orthogonal specific domains (contour, loudness, scale, timbre, duration, pitch, and meter) and one general music perception factor, the m-factor, showed excellent fit indices. The m-factor, previously hypothesized in the literature but never formally tested, explains 93% of the reliable variance in measurement, while only 3.9% of the reliable variance could be attributed to the multidimensionality caused by the specific domains. The 80 items showed no differential item functioning based on sex, age, or enrolment in public vs. private school, demonstrating the important psychometric feature of invariance. Like Charles Spearman's g-factor of intelligence, the m-factor is robust and reliable. It provides a convenient measure of auditory stimulus apprehension that does not rely on verbal information, offering a new opportunity to probe biological and psychological relationships with music perception phenomena and the etiologies of speech and language disorders.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Music Department State University of S�o Paulo (UNESP)Department of Pharmacology and Toxicology University of TorontoHurvitz Brain Sciences Program Sunnybrook Research InstituteSchool of Engineering Simon Fraser UniversityThornton School of Music (Program of Music Teaching and Learning) University of Southern CaliforniaDepartment of Psychiatry and Medical Psychology Federal University of Sao PauloDepartment of Social Sciences Center of Longitudinal Studies University College of London (Institute of Education)Institute for Measurement Methodology Analysis and Policy Texas Tech UniversityFaculty of Natural Sciences and School of Psychology Keele UniversityMusic Department State University of S�o Paulo (UNESP)FAPESP: 2014/06662-8FAPESP: 2016/50195-0Universidade Estadual Paulista (Unesp)University of TorontoSunnybrook Research InstituteSimon Fraser UniversityUniversity of Southern CaliforniaUniversidade de São Paulo (USP)University College of London (Institute of Education)Texas Tech UniversityKeele UniversityBarros, Caio G. [UNESP]Swardfager, WalterMoreno, SylvainBortz, Graziela [UNESP]Ilari, BeatrizJackowski, Andrea P.Ploubidis, GeorgeLittle, Todd D.Lamont, AlexandraCogo-Moreira, Hugo2018-12-11T17:09:43Z2018-12-11T17:09:43Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.3389/fnins.2017.00018Frontiers in Neuroscience, v. 11, n. JAN, 2017.1662-453X1662-4548http://hdl.handle.net/11449/17418010.3389/fnins.2017.000182-s2.0-850118355012-s2.0-85011835501.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFrontiers in Neuroscience1,769info:eu-repo/semantics/openAccess2024-10-02T19:17:29Zoai:repositorio.unesp.br:11449/174180Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-10-02T19:17:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Assessing music perception in young children: Evidence for and psychometric features of the M-factor |
title |
Assessing music perception in young children: Evidence for and psychometric features of the M-factor |
spellingShingle |
Assessing music perception in young children: Evidence for and psychometric features of the M-factor Barros, Caio G. [UNESP] Assessment Bifactor model Children Hearing Music perception Psychometrics |
title_short |
Assessing music perception in young children: Evidence for and psychometric features of the M-factor |
title_full |
Assessing music perception in young children: Evidence for and psychometric features of the M-factor |
title_fullStr |
Assessing music perception in young children: Evidence for and psychometric features of the M-factor |
title_full_unstemmed |
Assessing music perception in young children: Evidence for and psychometric features of the M-factor |
title_sort |
Assessing music perception in young children: Evidence for and psychometric features of the M-factor |
author |
Barros, Caio G. [UNESP] |
author_facet |
Barros, Caio G. [UNESP] Swardfager, Walter Moreno, Sylvain Bortz, Graziela [UNESP] Ilari, Beatriz Jackowski, Andrea P. Ploubidis, George Little, Todd D. Lamont, Alexandra Cogo-Moreira, Hugo |
author_role |
author |
author2 |
Swardfager, Walter Moreno, Sylvain Bortz, Graziela [UNESP] Ilari, Beatriz Jackowski, Andrea P. Ploubidis, George Little, Todd D. Lamont, Alexandra Cogo-Moreira, Hugo |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University of Toronto Sunnybrook Research Institute Simon Fraser University University of Southern California Universidade de São Paulo (USP) University College of London (Institute of Education) Texas Tech University Keele University |
dc.contributor.author.fl_str_mv |
Barros, Caio G. [UNESP] Swardfager, Walter Moreno, Sylvain Bortz, Graziela [UNESP] Ilari, Beatriz Jackowski, Andrea P. Ploubidis, George Little, Todd D. Lamont, Alexandra Cogo-Moreira, Hugo |
dc.subject.por.fl_str_mv |
Assessment Bifactor model Children Hearing Music perception Psychometrics |
topic |
Assessment Bifactor model Children Hearing Music perception Psychometrics |
description |
Given the relationship between language acquisition and music processing, musical perception (MP) skills have been proposed as a tool for early diagnosis of speech and language difficulties; therefore, a psychometric instrument is needed to assess music perception in children under 10 years of age, a crucial period in neurodevelopment. We created a set of 80 musical stimuli encompassing seven domains of music perception to inform perception of tonal, atonal, and modal stimuli, in a random sample of 1006 children, 6-13 years of age, equally distributed from first to fifth grades, from 14 schools (38% private schools) in So Paulo State. The underlying model was tested using confirmatory factor analysis. A model encompassing seven orthogonal specific domains (contour, loudness, scale, timbre, duration, pitch, and meter) and one general music perception factor, the m-factor, showed excellent fit indices. The m-factor, previously hypothesized in the literature but never formally tested, explains 93% of the reliable variance in measurement, while only 3.9% of the reliable variance could be attributed to the multidimensionality caused by the specific domains. The 80 items showed no differential item functioning based on sex, age, or enrolment in public vs. private school, demonstrating the important psychometric feature of invariance. Like Charles Spearman's g-factor of intelligence, the m-factor is robust and reliable. It provides a convenient measure of auditory stimulus apprehension that does not rely on verbal information, offering a new opportunity to probe biological and psychological relationships with music perception phenomena and the etiologies of speech and language disorders. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 2018-12-11T17:09:43Z 2018-12-11T17:09:43Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3389/fnins.2017.00018 Frontiers in Neuroscience, v. 11, n. JAN, 2017. 1662-453X 1662-4548 http://hdl.handle.net/11449/174180 10.3389/fnins.2017.00018 2-s2.0-85011835501 2-s2.0-85011835501.pdf |
url |
http://dx.doi.org/10.3389/fnins.2017.00018 http://hdl.handle.net/11449/174180 |
identifier_str_mv |
Frontiers in Neuroscience, v. 11, n. JAN, 2017. 1662-453X 1662-4548 10.3389/fnins.2017.00018 2-s2.0-85011835501 2-s2.0-85011835501.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Frontiers in Neuroscience 1,769 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
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1813546411279515648 |