Comparative analysis of the use of space in 7-a-side and 8-a-side soccer: How to determine minimum sample size in observational methodology

  1. Lapresa, D. 4
  2. Álvarez, I. 2
  3. Anguera, M.T. 3
  4. Arana, J. 1
  5. Garzón, B. 4
  1. 1 Universidad Internacional de La Rioja
    info

    Universidad Internacional de La Rioja

    Logroño, España

    ROR https://ror.org/029gnnp81

  2. 2 Universidad Internacional Isabel I de Castilla
    info

    Universidad Internacional Isabel I de Castilla

    Burgos, España

    ROR https://ror.org/055sgt471

  3. 3 Universitat de Barcelona
    info

    Universitat de Barcelona

    Barcelona, España

    ROR https://ror.org/021018s57

  4. 4 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Revista:
Motricidade

ISSN: 1646-107X

Año de publicación: 2015

Volumen: 11

Número: 4

Páginas: 92-103

Tipo: Artículo

beta Ver similares en nube de resultados
DOI: 10.6063/MOTRICIDADE.4138 SCOPUS: 2-s2.0-84962295627 GOOGLE SCHOLAR

Otras publicaciones en: Motricidade

Repositorio institucional: lock_openAcceso abierto Editor

Resumen

In 2011-2012, the Spanish Soccer Federation changed the format of junior championship matches played between regional-level teams in Spain from a 7-a-side to an 8-a-side format. Soon afterwards, the regional federations followed in their footsteps by adapting their competition formats accordingly. Taking the use of space as a functional indicator of the quality of play in U-10 soccer, the present study examines the relative suitability of the 7-a-side and 8-a-side formats for developing the skills of young players. Of 9 hypothesis contrasts relating to the zone in which a move initiated in the attacking team's goal area ended, only one was significant (p < .05) in the standard analysis, even though the contingency tables suggested there were genuine differences between the two formats studied. Consequently, the statistical software program GPower was used to determine the minimum sample size necessary to detect significant differences for four levels of statistical power: 95%, 90%, 85%, and 80%. Given the difficulty of organizing a new round of data collection, we simulated an increase in sample size while maintaining the characteristics of the original data (frequencies, variability, and distribution). The results obtained through the original sampling were then compared with those from the simulation. © 2015 Edições Desafio Singular.