Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/29822
Title: Adapting football to the child: an application of the logistic regression model in observational mewthodology.
Author: Arana Idiakez, Javier
Lapresa, Daniel
Anguera Argilaga, María Teresa
Garzón Echevarría, Belén
Keywords: Anàlisi de regressió
Observació (Psicologia)
Futbol
Metodologia
Regression analysis
Observation (Psychology)
Soccer
Methodology
Issue Date: 22-Jun-2012
Publisher: Springer Verlag
Abstract: Logistic regression is included into the analysis techniques which are valid for observationalmethodology. However, its presence at the heart of thismethodology, 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.
Note: Versió postprint del document publicat a: 10.1007/s11135-012-9734-z
It is part of: Quality & Quantity, 2012
URI: http://hdl.handle.net/2445/29822
Related resource: http://dx.doi.org/10.1007/s11135-012-9734-z
ISSN: 0033-5177
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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