Gymnastics play from sports games that need to use appropriate methods and strategies that address mental abilities and that let the learner create and think about better performance with the supervision and guidance of the teacher. The researcher has chosen meditative thinking, which is a kind of thinking that needs to be taken care of. It is thinking about the situation in front of the individual, analysing it to his elements and drawing up plans that need to be understood with a view to reaching the results required by the situation and evaluating the results in the light of the plans. The analysis of the situation looks to different elements and look for internal relationships between these elements in this case. The problem is that female students of the College of Sports Education do not have enough merit in the rhythmic gymnastics sport, which is one of the most beautiful and best sports games and the goal of research: Prepare a meditative thinking questionnaire for students and recognize the degree of meditative thinking in students of the fourth phase of the Faculty of Physical Education and Mathematical Sciences for girls and recognize the performance of gymnastics skills by the tape in the eye of the fourth phase of the Faculty of Physical Education and Mathematical Sciences for girls and to learn about the relationship between meditative thinking and performance level. The researcher imposed no statistical correlation and suggested that the researcher use the descriptive curriculum on the female students of stage IV by means of tape in rhythmic gymnastics. She conducted the exploratory experiment on a sample other than the research sample and the rhythmic experiment and found and discussed the results.
Autorías: Omar Saeed Sabbar, Ali Mousa Jawad, Maher Amer Jabbar. Localización: Revista iberoamericana de psicología del ejercicio y el deporte. Nº. 3, 2023. Artículo de Revista en Dialnet.
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This research aims to compare Bayesian Method and Full Maximum Likelihood to estimate hierarchical Poisson regression model.
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