Adapting football to the child: an application of the logistic regression model in observational methodology

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

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universitat de Barcelona
    info

    Universitat de Barcelona

    Barcelona, España

    ROR https://ror.org/021018s57

  3. 3 IES Marqués de la Ensenada, C/ del Mazo, 11, 26200 Haro, Spain
Revue:
Quality and Quantity

ISSN: 0033-5177

Année de publication: 2013

Volumen: 47

Número: 6

Pages: 3473-3480

Type: Article

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DOI: 10.1007/S11135-012-9734-Z SCOPUS: 2-s2.0-84883302899 WoS: WOS:000323671200032 GOOGLE SCHOLAR

D'autres publications dans: Quality and Quantity

Résumé

Logistic regression is included into the analysis techniques which are valid for observational methodology. However, its presence at the heart of this methodology, and more specifically in physical activity and sports studies, is scarce. With a view to highlighting the possibilities this technique offers within the scope of observational methodology applied to physical activity and sports, an application of the logistic regression model is presented. The model is applied in the context of an observational design which aims to determine, from the analysis of use of the playing area, which football discipline (7 a side football, 9 a side football or 11 a side football) is best adapted to the child's possibilities. A multiple logistic regression model can provide an effective prognosis regarding the probability of a move being successful (reaching the opposing goal area) depending on the sector in which the move commenced and the football discipline which is being played. © 2012 Springer Science+Business Media B.V.