No abstract

This study examined the effect of feedback with simultaneous skilled model observation and self-modeling on volleyball skill acquisition. 53 pupils 12 to 15 years old formed two experimental groups and one control group who followed an intervention program with 12 practice sessions for acquisition and retention of how to receive a ball. Groups received different types of feedback before and in the middle of each practice session. Reception performance outcome (score) and technique in every group were assessed before and at the end of the intervention program and during the retention phase. A 3 (Group) x 3 (Measurement Period) multivariate analysis of variance with repeated measures was applied to investigate differences. Results showed equivalent improvement in all three groups at the end of the intervention program. In conclusion, types of augmented feedback from the physical education teacher are effective in acquisition and retention of the skill for reception in volleyball.

The aim of the present study was to identify volleyball skills that best discriminate between winning and losing in a set with the minimum score difference of men’s and women’s volleyball. The data have been collected for men from 140 and for women from 98 teams’ performances in all sets finished with 2 points difference between the top four teams in the final ranking during the men’s and women’s Greek Volleyball League for five seasons (2013–2014 until 2017–2018). The primary recorded and evaluated skills from 119 sets for men and women respectively are: 3422 and 2419 serves, 2916 and 2120 passes, 2566 and 1656 attacks after serve’s pass, 1518 and 1804 counter-attacks (after defense) and 1595 and 818 blocks. For the evaluation scale of each skill, a six-level ordinal scale was employed, with the value of “one” indicating a poorly executed skill and the value of “six” an excellent executed skill. The analysis revealed significant multivariate differences in gender and in the type of result and not in their interaction. A follow-up discriminant analysis showed that attack 1 is the most important performance indicator for male teams. Meanwhile, for female teams, the most important performance indicators are winning attack after serve’s pass but also counter-attack. The discriminant function classified correctly 67% and 58%, for men and women respectively, allowing space for further improving the critical performance indicators for both genders.