<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">S Drikos</style></author><author><style face="normal" font="default" size="100%">G. Vagenas</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multivariate assessment of selected performance indicators in the type and result of a typical set in Men's Elite Volleyball</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Performance Analysis in Sports</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ingentaconnect.com/content/uwic/ujpa/2011/00000011/00000001/art00009</style></url></web-urls></urls><pages><style face="normal" font="default" size="100%">85-95</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The aim of this study was to identify volleyball performance indicators that best discriminate between winning and losing teams in a set according to set final score differences. The data were collected from teams’ performances (N=350) in all sets played during the 2009 Men’s European Volleyball Championship in Turkey. Clusters analysis&lt;br&gt;established three different groups of sets according to set final score difference: 2 points (ambivalent), 3-5 points (safe), &amp;gt;5 points (unbalanced). A 3x2 MANOVA (type of set x type of result) was then performed on 9 performance indicators reflecting % expressions of four basic skills of the game (serve, pass, attack, block). The analysis revealed significant multivariate differences in type of set, in type of results, and in their interaction. A follow-up Discriminant Analysis showed that effectiveness of attack is the most important performance indicator for all types of sets, far more for the ambivalent ones. The discriminant function correctly classified increasing % of cases with increase in score difference. Especially for ambivalent sets 67.3% were correctly classified, letting some space for further improving the critical performance indicators. The results suggest that training of a men’s volleyball team&lt;br&gt;should emphasize more to improve offensive abilities.</style></abstract><issue><style face="normal" font="default" size="100%">11</style></issue></record></records></xml>