133
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A Multimodal Analysis of Physical Factors that Influence Adolescents’ Motor Competence

, ORCID Icon, &
Pages 195-206 | Published online: 22 Nov 2022
 

ABSTRACT

This study analyzed the factorial structure of motor competence tests designed to evaluate motor development among adolescents, focusing on the two main dimensions of coordination and motor control. To this end, we randomly sampled 1,026 adolescents (45.3% males; 45.7% females, age 13.75 years, SD = 1.28). Participants completed the Multidimensional Sportcomp Motor Battery, which features ten motor competence tests. Results indicate that two factors grouped seven of the ten sub-tests related to upper body strength and skill related-fitness. The factorial structure remained stable across age and sex groups, with the exception of manual grip (grip strength) and 7 Meters with Feet Together (jumping) which may relate to a sex-specific evolutionary pattern for upper body force. The Flexibility, Equilibrium and Lateral Jumps tests were not grouped by this factor analysis on any established dimension. These results underscore the multidimensionality of physical factors that influence motor competence among adolescents.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Gobernement of Aragon [”S57_20R EDUCAVIVA - Research Group].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 389.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.