지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.10
- 수록면
- 85 - 95 (11page)
- DOI
- 10.51979/KSSLS.2019.10.78.85
이용수
초록· 키워드
오류제보하기
Purpose: The purpose of this study is to derive and analyze subjective types of subjective perception of panel data construction in physical education field.
Method: Based on the existing literature research and in-depth interviews of the major engineers, the Q methodological typology was used to analyze the factors and correlations between subjective perceptions of panel data construction. For this purpose, 16 statements and 26 samples were used.
Results: The most subjective perception type of panel data construction in the field of physical education was ‘Panel data construction indifference type’, followed by ‘Panel data construction requirement’ and ‘Panel data construction reconsideration’. This showed that there was still a lack of awareness in the field of physical education in terms of necessity and utilization unlike a lot of other academic fields that are collecting longitudinal data through various panel surveys and using them in various ways. First of all, it was necessary to expand the curriculum on data statistics to attract the attention of academics. There were many master’s and doctorate students each year, but few scholars major in physical education statistics. Therefore, it was necessary to establish professional education and institution for efficient management of sports data.
Conclusion: In summary, it is shown to recognize the academic value of panel data and to make efforts to utilize panel data of other disciplines. Therefore, physical education is regarded as part of preparing for sports big data in the 4th industry that comes through the recognition that panel data construction is urgent. Accordingly, it is required to raise the awareness to raise the academic status by recognizing the necessity of longitudinal area data in addition to the existing cross-sectional data of many sports fields.
Method: Based on the existing literature research and in-depth interviews of the major engineers, the Q methodological typology was used to analyze the factors and correlations between subjective perceptions of panel data construction. For this purpose, 16 statements and 26 samples were used.
Results: The most subjective perception type of panel data construction in the field of physical education was ‘Panel data construction indifference type’, followed by ‘Panel data construction requirement’ and ‘Panel data construction reconsideration’. This showed that there was still a lack of awareness in the field of physical education in terms of necessity and utilization unlike a lot of other academic fields that are collecting longitudinal data through various panel surveys and using them in various ways. First of all, it was necessary to expand the curriculum on data statistics to attract the attention of academics. There were many master’s and doctorate students each year, but few scholars major in physical education statistics. Therefore, it was necessary to establish professional education and institution for efficient management of sports data.
Conclusion: In summary, it is shown to recognize the academic value of panel data and to make efforts to utilize panel data of other disciplines. Therefore, physical education is regarded as part of preparing for sports big data in the 4th industry that comes through the recognition that panel data construction is urgent. Accordingly, it is required to raise the awareness to raise the academic status by recognizing the necessity of longitudinal area data in addition to the existing cross-sectional data of many sports fields.
목차
Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 결과
Ⅳ. 논의
Ⅴ. 결론 및 제언
참고문헌
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