The aim of this study was to determine exercise intensity and metabolic response during soft-volleyball match. Oxygen uptake (V̇O₂), ventilation (V̇E), heart rate (HR) and respiratory frequency (Rf) were measured in 8 subjects every 15 second by using portable telemetric system K2 during 4 soft-volleyball matches. Additionally blood samples were taken for lactate determination before match, at the end of first, second, third set and after 30 min of the match. Simultaneously, every match was videotaped in order to analyze, afterwards, the frequency and distribution of high intensity performances such as spikes, blocks serves, spurts, etc. Furthermore, V̇O₂, V̇E, HR and Rf were also measured during cycling exercise test of stepwise increasing loads up to exhaustion and maximal V̇O₂ (V̇O₂max) was determined. During match, average HR, Rf, V̇E and V̇O₂max were 123.9±13.3 beats・min-1，34.8±4.1 times・min-1，39.2±8.5 l・min-1 and 17.7±4.3 ml・kg-1・min-1, respectively. Average %HR, %Rf, %V̇E and %V̇O₂max (relative to the corresponding maximal value) were 66.3±5.9%，69.4±16.0%，29.3± 4.5% and 35.2±8.1%(range: 30~50%), respectively, and lactate concentration was below the LT (Lactate Threshold) during the matches. On average, ΔTimeHIP (time intervals between high intensity performances) in the front, back and both court were 21.5±15.0 sec, 20.3±13.1 sec, and 21.0±14.2 sec, respectively. It was conclud- ed that soft-volleyball is an aerobic sports with fairly low exercise intensity, having high alactic anaerobic power productions performed with relatively long recovery time of 21 sec on average. It is likely that cardio-vascular endurance could not be improved thoroughly through soft-volleyball match. The possible explanation for no lac- tate accumulation during match is that resynthesis of phosphagens takes place aerobically between the high intensity performances. The %V̇O₂ at a given HR was lower during soft-volleyball than during cycling exercise. It was suggested that V̇O₂ assessment from HR during soft-volleyball matches based on HR-%V̇O₂max relation- ship obtained during stepwise cycling exercise tests lead to overestimation by 40% in maximum.

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As for the purpose of this research, appearance frequency by the attack situation, an attack construction type explained the character of the position in the volleyball game from the additional appearance frequency to evaluate player's attack performance by the position. The samples were 4games, 30sets for men of Japan inter-collegiate volleyball championship in 2000. The following knowledge could get as results. 1) It is necessary to take a position and an attack situation into consideration when the difference is recognized in around one set of average appearance frequency of each attack situation in each position and player's attacking performance evaluated. 2) The difference is recognized as the attack construction type of each attack situation in the additional appearance frequency, and it is necessary that an attack construction type evaluate attacking performance separately by the position. 3) The difference was recognized for the average Attack Performance of around 1 game in each position. 4) The characteristics of the player's attacking performance could be grasped by an attack construction type's evaluating player's attacking performance separately five steps in SRA and ARA.

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From the results of an analysis of 16 matches made up of 63 sets in the 2000 Olympic Final Qualifications for women’s volleyball, We identified the probable higher-rank group line-ups and the line-ups to be avoided if the Japanese team is to compete with the Italian team. For the Japanese, the probable higher-rank groups were Lup 4 and 5, while the line-ups to be avoided were L-up 2 and 6. For L-up 4, which took first place in the estimated total ranking, the best starting rotation phase was expected to be R 5 if the Japanese team was on the servicing side or R 4 if on the receiving side, provided that the Italian team starts with its rotation R 1. With this lineup, it was believed to be essential for the Japanese team to enhance the defensive power of R 1, which would give a lower defensive power index, and to maintain the offensive power of R 4 and R 1, which both would give higher offensive power indexes. It was also required that the team improve the offensive power of R 5 and R 6 which have lower offensive power indexes when compared to R 4 and R 1, as well as to retain defensive power for R 2 and R 5 with higher defensive power indexes. However, the Japanese team selected L-up 2 and 1 instead of Line-up 4 for the match. Line-up 2 usually decreases in defensive power index for R 3, R 4, and R 5. These rotation phases chosen by Japan faced R 4, R 5, and R 6 of the Italian L-up1, which were estimated to be higher in offensive power index. The Japanese team failed to enhance the inferior defensive power of L-up 2 for these rotation phases, while the Italian team successfully retained and even improved the strong offensive power for the corresponding rotation phases. We judged that this fact was one of the reasons why the Japanese team failed to win the match. (set count: JPN 0-3 ITA) This study's method could re-build up a volleyball game analysis.

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The purpose of this study was to construct a test to measure the self-efficacy in volleyball players and to experimentally verify the relationship between self-efficacy and performance in volleyball players. The procedures of construct self-efficacy test: The subjects were 192 volleyball players. Examination 215 items of a preliminary investigation and decision a factor use statistical technique and extract items. About experimentally verify the relationship between self-efficacy and performance: The subjects were 12 vol- leyball players from V 1 league volleyball team. Measure point was game before the game as ordinary self-effica- cy and just before the game as just before the game. The following are the results of this study. 1) The test consist 16 items 5 factor self-efficacy test for volleyball players was constructed. 2) It had been clear that regular members have comparatively stable conscience about the relationship between performance and the self-efficacy, which was carried with self-efficacy test we’ve made. Also, it was shown that there’s no fluctuation of self-efficacy test by passing time. 3) There was not tendency on relation between self-efficacy and performance.

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