IDENTIFYING NUMERICAL INDICATORS TO PREDICT THE CONTRIBUTION OF MUSCULAR STRENGTH IN GYMNASTICS TESTS FOR ADVANCED FEMALE STUDENTS AT THE COLLEGE OF PHYSICAL EDUCATION AND SPORTS SCIENCES

Abstract

This research aims to identify numerical indicators to predict the contribution of muscular strength in gymnastics tests for advanced female students at the College of Physical Education and Sports Sciences. The researcher employed the descriptive methodology using the survey and correlational approach. The research sample was intentionally selected from female students enrolled in the College of Physical Education and Sports Sciences for the academic year 2023–2024, totaling fifty-two students. The researcher concluded that general indicators for the tests were established through equations that provide direct numerical measures to assess performance level. The most significant variables in the study were identified through a questionnaire form, and appropriate statistical treatments were applied to suit the nature of the research.