A Multilayer Network Model for Motor Competence from the View of the Science of Complexity: A Multilayer Network Model for Motor Competence: P. F. Ribeiro Bandeira et al.
Motor competence is related to a large number of correlates of different natures, forming together a system with flexible parts that are synergically and cooperatively connected to produce a wide range of motor outcomes that cannot be explained from a predetermined linear view or a unique mechanism....
| Publicado en: | Sports Medicine Vol. 55; no. 2; pp. 245 - 255 |
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| Autores principales: | , , , , , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Feb2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184038467&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184038467 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01121642 C5H jtl: Sports Medicine issn: 01121642 maglogo: N pubinfo: dt: Feb2025 vid: 55 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 184038467 181876649 184038467 184038467 10.1007/s40279-024-02164-4 184038467 ppf: 245 ppct: 10 formats: tig: atl: A Multilayer Network Model for Motor Competence from the View of the Science of Complexity: A Multilayer Network Model for Motor Competence: P. F. Ribeiro Bandeira et al. aug: au: Ribeiro Bandeira, Paulo Felipe Estevan, Isaac Duncan, Michael Lenoir, Matthieu Lemos, Luís Romo-Perez, Vicente Valentini, Nadia Martins, Clarice affil: https://ror.org/05y26ar20 Department of Physical Education, Universidade Regional do Cariri, Crato, Brazil sug: subj: Motor Skills Conceptual Framework Models, Theoretical Metaphor Science Mathematics Self Regulation Motivation Obesity ab: Motor competence is related to a large number of correlates of different natures, forming together a system with flexible parts that are synergically and cooperatively connected to produce a wide range of motor outcomes that cannot be explained from a predetermined linear view or a unique mechanism. The diversity of interacting correlates, the various connections between them, and the fast changes between assessments at different time points are clear barriers to the study of motor competence. In this manuscript, we present a multilayer framework that accounts for the theoretical background and the potential mathematical procedures necessary to represent the non-linear, complex, and dynamic relationships between several underlying correlates that emerge as a motor competence network. Exploring motor competence from a new perspective that could be operationalized through multilayer networks seems promising, and allows more accurate inspection and representation of its topology and dynamics. This new perspective might also improve the understanding of motor competence structure and functionality over the developmental course. The use of the proposed approach could open up new horizons for the broad literature comprising motor competence. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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