ABSTRACT
In this paper we describe a method to evaluate interactive behaviors in Team Games, most precisely goalkeeper interaction with defenders. The aim of this study is to understand the performance of a handball goalkeeper, not only by the results of their own actions, but by integrating in the model the interactive actions between goalkeeper and defenders. The requirements of observational methodology are observed to gather data and we used sequential analysis and polar coordinates techniques to analyze data. The data are gathered from a natural environment where players have their behaviors, i.e., from handball matches in high level competitions context. Using an observational tool specially created and validated by an expert panel, the data was registered in a sequential way to make possible the sequential analysis with lags, prospective and retrospectively made.
The results show the goalkeeper performance is significantly associated with defenders actions.
- Anguera, M. T. (2001). La observación. Barcelona: Universidade de Barcelona.Google Scholar
- Bakeman, R., & Quera, V. (1996). Anáálisis de la Interacción-Análisis Secuencial con SDIS y GSEQ. Madrid: RA-MA Textos Universitários.Google Scholar
- Bakeman, R., & Gottman, J. (1989). Observacióón de la interacción: introducción al análisis secuencial. Madrid: Ediciones Morata.Google Scholar
- Hernández Mendo, A., y Macias, M. (2002). Cómo usar la observación en la psicologia del deporte: principios metodológicos. http://www.efdeportes.com.Google Scholar
- Hernández Mendo. (1999). Observación y Deporte. In M. T. Anguera (Ed.), Observación en Deporte y conducta cinésico-motriz: Aplicaciones. Barcelona: Edicions Universitat de Barcelona.Google Scholar
- Prudente, J., Garganta, J., & Anguera, T. (2004). Desenho e validaçção de um sistema de observação no Andebol. Revista Portuguesa de Ciências do Desporto, 4(3), 49--65.Google Scholar
Index Terms
- Methodological approach to evaluate interactive behaviors in team games: an example in handball
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