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Campo DC | Valor | Lengua/Idioma |
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dc.contributor.author | Porgeirsson, Sveinn | - |
dc.contributor.author | Lozano, Demetrio | - |
dc.contributor.author | Zapardiel, Juan Carlos | - |
dc.contributor.author | Jimenez, Francisco | - |
dc.contributor.author | Sekulic, Damir | - |
dc.contributor.author | Saavedra, José M. | - |
dc.date.accessioned | 2023-08-01T11:48:51Z | - |
dc.date.available | 2023-08-01T11:48:51Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Þorgeirsson, S., Lozano, D., Zapardiel, J.C., Jimenez, F., Sekulić, D. & Saavedra, J.M. (2022). Women's beach handball game statistics: differences and predictive power for winning and losing teams. Kinesiology, 54 (1), 126-132. https://doi.org/10.26582/k.54.1.12 | en_US |
dc.identifier.issn | 1848-638X | en_US |
dc.identifier.uri | https://repositorio.usj.es/handle/123456789/955 | - |
dc.description.abstract | The objectives of the present study were: (i) to compare beach handball game-related statistics by match outcome (winning and losing teams), and (ii) to identify characteristics that discriminate performances in the match. The game-related statistics of the 72 women’s matches played at the VIII Women’s Beach Handball World Championship (2018) were analysed. The game-related statistics were taken from the official website. A validation of the data showed their reliability to be very good (the inter-observer mean reliability was α=0.82 and the intra-observer mean was α=0.86). For the differences between winning/losing teams a parametric (unpaired t-test) or non-parametric (Mann-Whitney U test) test was applied depending on whether the variable met or did not meet normality, respectively. A stepwise discriminant analysis was then performed to determine the variables that predicted performance (victory or defeat). Five variables showed differences between the winning and losing teams: total points (p<.001; ES=1.09), technical faults (p<.001; ES=‑0.96), the number of players with either negative (p<.001; ES=‑0.86) or positive (p<.001; ES=1.05) valuations and overall valuation (p<.001; ES=1.29). The predictive model correctly classified 80.6% of the matches using two variables (Wilks’s λ=0.618; canonical correlation index=0.618): overall valuation and GK shots. | en_US |
dc.format.extent | 7 p. | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | en_US |
dc.publisher | UNIV ZAGREB, FAC KINESIOLOGY | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Performance | en_US |
dc.subject | Goal | en_US |
dc.subject | Goalkeeper | en_US |
dc.subject | Shot | en_US |
dc.subject | Block | en_US |
dc.title | Women's beach handball game statistics: differences and predictive power for winning and losing teams | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.identifier.publicationfirstpage | 126 | en_US |
dc.identifier.publicationlastpage | 126-132 | en_US |
dc.identifier.doi | https://doi.org/10.26582/k.54.1.12 | en_US |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | en_US |
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