フィジカルフィットネステストの測定データの評価方法に関する一提案：スポーツ現場で計測したデータから臨床的に意味があると言える最小の変化を評価するために

抄録

　Sports teams periodically conduct physical fitness tests to evaluate the improvements in their athletes' physical elements and the effects of their training regimens. However, in the actual sports setting, in addition to the true data, measurements are impacted by accidental errors that are randomly generated, thereby making it difficult to reach a definite conclusion solely based on the commonly employed evaluation methods. Thus, this report demonstrates an evaluation method to detect meaningful changes in the physical elements of athletes in a sports team, as well as actual measurement instances. The participants were female college volleyball players, and the measurement data on countermovement jump (CMJ) obtained in physical fitness testing were used as a case report. The evaluation was done using a method that employs the smallest meaningful change based on the concept of magnitude-based inference. The degree of change in CMJ was evaluated against fluctuations attributed to the measurement method and equipment, as well as the biological biases of the athletes, to examine the presence of definite changes. The results suggested that, compared with conventional methods, this method may more suitably detect improvements in physical elements. We hope this report will be useful for professionals engaged in data analysis in the sports setting and, thus, contribute to advancing evidence-based practice.