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Revisiting discrete versus continuous models of human behavior: The case of absolute pitch

Many human behaviors are discussed in terms of discrete categories. Quantizing behavior in this fashion may provide important traction for understanding the complexities of human experience, but it also may bias understanding of phenomena and associated mechanisms. One example of this is absolute pi...

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Autores principales: Van Hedger, Stephen C., Veillette, John, Heald, Shannon L. M., Nusbaum, Howard C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769265/
https://www.ncbi.nlm.nih.gov/pubmed/33370349
http://dx.doi.org/10.1371/journal.pone.0244308
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author Van Hedger, Stephen C.
Veillette, John
Heald, Shannon L. M.
Nusbaum, Howard C.
author_facet Van Hedger, Stephen C.
Veillette, John
Heald, Shannon L. M.
Nusbaum, Howard C.
author_sort Van Hedger, Stephen C.
collection PubMed
description Many human behaviors are discussed in terms of discrete categories. Quantizing behavior in this fashion may provide important traction for understanding the complexities of human experience, but it also may bias understanding of phenomena and associated mechanisms. One example of this is absolute pitch (AP), which is often treated as a discrete trait that is either present or absent (i.e., with easily identifiable near-perfect “genuine” AP possessors and at-chance non-AP possessors) despite emerging evidence that pitch-labeling ability is not all-or-nothing. We used a large-scale online assessment to test the discrete model of AP, specifically by measuring how intermediate performers related to the typically defined “non-AP” and “genuine AP” populations. Consistent with prior research, individuals who performed at-chance (non-AP) reported beginning musical instruction much later than the near-perfect AP participants, and the highest performers were more likely to speak a tonal language than were the lowest performers (though this effect was not as statistically robust as one would expect from prior research). Critically, however, these developmental factors did not differentiate the near-perfect AP performers from the intermediate AP performers. Gaussian mixture modeling supported the existence of two performance distributions–the first distribution encompassed both the intermediate and near-perfect AP possessors, whereas the second distribution encompassed only the at-chance participants. Overall, these results provide support for conceptualizing intermediate levels of pitch-labeling ability along the same continuum as genuine AP-level pitch labeling ability—in other words, a continuous distribution of AP skill among all above-chance performers rather than discrete categories of ability. Expanding the inclusion criteria for AP makes it possible to test hypotheses about the mechanisms that underlie this ability and relate this ability to more general cognitive mechanisms involved in other abilities.
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spelling pubmed-77692652021-01-08 Revisiting discrete versus continuous models of human behavior: The case of absolute pitch Van Hedger, Stephen C. Veillette, John Heald, Shannon L. M. Nusbaum, Howard C. PLoS One Research Article Many human behaviors are discussed in terms of discrete categories. Quantizing behavior in this fashion may provide important traction for understanding the complexities of human experience, but it also may bias understanding of phenomena and associated mechanisms. One example of this is absolute pitch (AP), which is often treated as a discrete trait that is either present or absent (i.e., with easily identifiable near-perfect “genuine” AP possessors and at-chance non-AP possessors) despite emerging evidence that pitch-labeling ability is not all-or-nothing. We used a large-scale online assessment to test the discrete model of AP, specifically by measuring how intermediate performers related to the typically defined “non-AP” and “genuine AP” populations. Consistent with prior research, individuals who performed at-chance (non-AP) reported beginning musical instruction much later than the near-perfect AP participants, and the highest performers were more likely to speak a tonal language than were the lowest performers (though this effect was not as statistically robust as one would expect from prior research). Critically, however, these developmental factors did not differentiate the near-perfect AP performers from the intermediate AP performers. Gaussian mixture modeling supported the existence of two performance distributions–the first distribution encompassed both the intermediate and near-perfect AP possessors, whereas the second distribution encompassed only the at-chance participants. Overall, these results provide support for conceptualizing intermediate levels of pitch-labeling ability along the same continuum as genuine AP-level pitch labeling ability—in other words, a continuous distribution of AP skill among all above-chance performers rather than discrete categories of ability. Expanding the inclusion criteria for AP makes it possible to test hypotheses about the mechanisms that underlie this ability and relate this ability to more general cognitive mechanisms involved in other abilities. Public Library of Science 2020-12-28 /pmc/articles/PMC7769265/ /pubmed/33370349 http://dx.doi.org/10.1371/journal.pone.0244308 Text en © 2020 Van Hedger et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Van Hedger, Stephen C.
Veillette, John
Heald, Shannon L. M.
Nusbaum, Howard C.
Revisiting discrete versus continuous models of human behavior: The case of absolute pitch
title Revisiting discrete versus continuous models of human behavior: The case of absolute pitch
title_full Revisiting discrete versus continuous models of human behavior: The case of absolute pitch
title_fullStr Revisiting discrete versus continuous models of human behavior: The case of absolute pitch
title_full_unstemmed Revisiting discrete versus continuous models of human behavior: The case of absolute pitch
title_short Revisiting discrete versus continuous models of human behavior: The case of absolute pitch
title_sort revisiting discrete versus continuous models of human behavior: the case of absolute pitch
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769265/
https://www.ncbi.nlm.nih.gov/pubmed/33370349
http://dx.doi.org/10.1371/journal.pone.0244308
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