인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
- 저자정보
피인용 0
초록·키워드
Making an accurate and valid prediction about an athlete’s long term success in professional sport is likely a difficult aspect of a professional coach’s role. Therefore, to aid them in this evaluative process coaches routinely employ a battery of tests, all of which are intended to inform their eventual selection decision. To date however, personality inventories have yet to become common place within this evaluative process; and thus, their predictive utility within the talent identification process has not yet been adequately tested (Aidman, 2007). Those research efforts that have been concerned with personality’s role in predicting athletic success have been overwhelmingly cross-sectional and descriptive in nature, and therefore do not mirror the applied use (e.g., longitudinal prediction) of these instruments by coaches. Consequently, the purpose of the current investigation was to address these previous limitations by employing a normative measure of personality (SportsPro ; Marshall, 1979) and assessing its relationship ™ to athletic performance over a 15 year time period. Potential draft choices of a Canadian National Hockey League team (N=124) were profiled prior to the 1991-92 entry draft and were followed until the end of the 2005-06 NHL season. The proposed selection model was found to be a significant predictor of a player’s total NHL goals, NHL assists, and their overall NHL points. Overall, when performance is assessed longitudinally within a relatively homogenous sample of athletes, personality measures appear to add to a coach’s ability to predict an athlete’s longitudinal athletic attainment.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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