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Assessing Music Perception in Young Children: Evidence for and Psychometric Features of the M-Factor

Overview of attention for article published in Frontiers in Neuroscience, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 news outlet
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7 X users
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1 Facebook page

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64 Mendeley
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Title
Assessing Music Perception in Young Children: Evidence for and Psychometric Features of the M-Factor
Published in
Frontiers in Neuroscience, January 2017
DOI 10.3389/fnins.2017.00018
Pubmed ID
Authors

Caio G. Barros, Walter Swardfager, Sylvain Moreno, Graziela Bortz, Beatriz Ilari, Andrea P. Jackowski, George Ploubidis, Todd D. Little, Alexandra Lamont, Hugo Cogo-Moreira

Abstract

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 14%
Student > Bachelor 8 13%
Student > Doctoral Student 7 11%
Student > Ph. D. Student 7 11%
Researcher 6 9%
Other 11 17%
Unknown 16 25%
Readers by discipline Count As %
Psychology 14 22%
Medicine and Dentistry 6 9%
Neuroscience 5 8%
Social Sciences 5 8%
Nursing and Health Professions 3 5%
Other 9 14%
Unknown 22 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2017.
All research outputs
#2,563,033
of 25,377,790 outputs
Outputs from Frontiers in Neuroscience
#1,567
of 11,542 outputs
Outputs of similar age
#50,900
of 422,553 outputs
Outputs of similar age from Frontiers in Neuroscience
#16
of 173 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 422,553 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.