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    Comparison of Trampoline Gymnastics Athletes' Performance and Normative Data of Tokyo Olympic Games
    (Ibrahim ERDEMIR, 2024) Keskin, Özlem
    Aim: It was aimed to compare the performances of athletes competing in the Trampoline Gymnastics branch at the Tokyo 2020 Olympic Games and to create normative data. Methods: In the study, the scores obtained by 16 male and 16 female athletes in the final and qualifying competitions were evaluated by using document analysis method, one of the secondary data collection techniques. Mann Whitney U test was used to determine the differences between the difficulty, execution, horizontal displacement, time of flight and total scores. In addition, the competition scores were first converted into Z-scores and then the T-score equivalents were determined, and norms of the data were created by defining qualitative descriptions ranging from extremely poor to excellent for performance ranges.Results: Statistically significant differences were found between the difficulty, execution, time of flight and total scores in the first series of the qualification competition (p
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    Evaluation and Normative Values of Competition Performances of Aerobic Gymnastics Individual Men Category Athletes
    (Metin YAMAN, 2024) Keskin, Özlem
    In this study, it was aimed to determine t-score performance ranges by standardizing the execution, artistic, difficulty and final scores and converting them into z-scores and t-scores, and to establish norm values according to international competition results, to evaluate the performances of athletes competing in the individual men category in aerobic gymnastics. For this purpose, the data of a total of 45 athletes participating in three competitions were evaluated in the study to determine the world ranking in aerobic gymnastics. In the study, the document analysis method, also known as documentary scanning, was used as a secondary data collection technique. It was conducted as a descriptive study with data in a publicly available, raw format. Competition data is obtained from official documents in the results section published on the FIG website. As a result of the evaluations, t-score performance ranges ranging from extremely poor (<20) to excellent (>80) were created. These scores, which are created through standardized scores, are seen as an important determination of the situation in terms of determining both the differences in the individual performance levels of the athletes and the level of the rival athletes and taking training measures for the features that need to be improved by monitoring the performance. In addition, it is envisaged that normative data and the relationships between the data will be guiding for researchers, coaches, and athletes in making detailed evaluations regarding performance development.