메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Kim Dong-gun (Gyeongnam Judo Association Changwon Republic of Korea) Son Man-sik (J-INSTITUTE Gumi Republic of Korea) 조성구 (경운대학교)
저널정보
J-INSTITUTE Kinesiology Kinesiology Vol.1 No.2
발행연도
2016.12
수록면
24 - 31 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
This study aims at researching Te-waza and Koshi-waza as a usability of defending techniques of Judo in Republic of Korea by interviewing and analyzing participants who have experienced in Security Service. The results of this study are as followings. Firstly, in personal protection work of security site, among the usability of Te-waza in the scale from ‘1’(very agree) to ‘9’(very disagree), 27 participants have marked Ippon-seoi-nage as ‘1’(very agree), 17 participants as ‘2’, and 18 participants have marked ‘9’(very disagree) in Seoi-nage, the following highest in the scale as ‘7’ with 17 participants(20.5%). In Tai-otoshi technique, 20 participants have chosen ‘1’(24.1%) the highest, and 14 participants have marked ‘2’(16.9%) as the following highest. Secondly, in personal protection work of security site, the usability of Koshi-waza of Judo techniques in the scale from ‘1’(very agree) to ‘9’(very disagree) 26 participants have marked ‘1’(very agree) as the highest in the scale, 16 participants have marked ‘2’ as the following highest. For Tsurikomi-goshi technique, 20 participants have marked ‘9’(24.1%) as the highest, 18 participants have chosen ‘8’(21.7%) as the second highest out of ‘1’(very agree) to ‘9’(very disagree) scale. 25 participants have chosen ‘1’(30.1%) out of 1 to 9 scale in Harai-goshi, and 17 participants have chosen ‘2’ (20.5%) as the second highest. As the last technique, 18 participants (21.7%) have marked ‘1’ in Hane-goshi, 15 participants(18.1%) have chosen ‘2’ for the second highest in the scale.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0