체육·스포츠 분야에서 베이지안 분석 방법의 이해와 효용성

다국어 초록 (Multilingual Abstract)

The classical frequentist inference method has a disadvantage in that there is no prior distribution, and it can only make very limited inferences due to the viewpoint that the parameter of interest is regarded as an unknown and fixed constant. This disadvantage is that when the number of cases increases, it is easy to reject the null hypothesis, so that an insignificant variable is sometimes interpreted as an important variable. In addition, hypothesis testing centered on the null hypothesis makes it difficult to compare the two hypotheses by excluding the evaluation based on the relative hypothesis. This problem is a common phenomenon in the field of physical education, and it can be said that an appropriate reasoning method is needed for it.
Recently, the Bayesian reasoning method is used to estimate parameters and test hypotheses in various academic fields as a method to solve the shortcomings of the classical frequentist reasoning method, but it can be said that the frequency of use in studies in the field of physical education is extremely insignificant.
This problem is thought to have been largely due to the lack of understanding and ignorance of the Bayesian reasoning method in physical education research. Therefore, in this study, we intend to discuss the effectiveness of the Bayesian reasoning method by increasing the understanding of the Bayesian reasoning method of physical education researchers and further analyzing and comparing it by applying actual data.

목차 (Table of Contents)

• Abstract
• Ⅰ. 서론
• Ⅱ. 베이지안 추론
• Ⅲ. 베이지안 추론 방법의 적용 및 전통적 빈도주의 추론 방법과의 비교
• Ⅳ. 논의 및 결론
• 참고문헌

참고문헌 (Reference)

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