EconPapers    
Economics at your fingertips  
 

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

Javier Arana (), Daniel Lapresa (), María Anguera () and Belén Garzón ()

Quality & Quantity: International Journal of Methodology, 2013, vol. 47, issue 6, 3473-3480

Abstract: 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. Copyright Springer Science+Business Media B.V. 2013

Keywords: Logistic regression; Observational methodology; Adapted football; Children (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s11135-012-9734-z (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:47:y:2013:i:6:p:3473-3480

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-012-9734-z

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:qualqt:v:47:y:2013:i:6:p:3473-3480