本研究目的為診斷評量複合弓比賽的成績表現,以國立體育大學複合弓選手10名為研究對象,收集複合弓選手2017年11月起至2019年11月的正式比賽成績,然後以多層面Rasch測量模式評估選手潛能、探查比賽的非期望反應,以選手層面為主,交叉分析個人表現。研究結果顯示:一、優秀選手的非期望反應資料數量不多,無法執行個別選手統計分析,僅做整體的診斷,排名賽和對抗賽在「賽別」、「回合」的分析概似比9.691、13.474,皆未達顯著水準。二、比較複合弓成績表現在排名與對抗賽的非期望反應,結果t值.46未達顯著水準。發現2年的比賽資料仍不足夠,需要更長期的資料累積,在分析的程序上具有科學基礎。本研究所得結論:選手非期望反應分析,方法上是可行,能夠探查出非期望反應及層面交叉的偏差分析,作為診斷評量的依據。
The purpose of this study was to conduct a diagnostic assessment of athletic performances of compound archers during competition. The research subjects of this study were 10 compound archers from the National Taiwan Sport University. The formal competition results of these archers from November 2017 to November 2019 were collected and taken into the many-facet Rasch measurement model to assess the archers' potential, investigate their unexpected responses during competition, and cross-analyze the individual performance by focusing on the archer facet. Results indicated that: (1) The database of unexpected response from the elite archers is not sufficiently large for statistical analysis on each archer, and only group diagnosis can be done. The analytical likelihood ratio of the ranking tournaments and the rivalry tournaments are 9.691 and 13.474, respectively. Neither value met the significance level. (2) Comparing the unexpected response between the ranking tournaments and the rivalry tournaments, the t-value of .46 does not meet the significance level. This indicates that the data from 2 years' competitions is still insufficient, and accumulating long-term data is required before constructing an analysis program on a scientific basis. We conclude that the method to analyze the archers' unexpected responses in this work is feasible. It enables the investigation of unexpected responses and deviation analysis of cross-facets as an effective basis for diagnostic assessment.