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
질문

논문 기본 정보

자료유형
학술저널
저자정보
Lim, Jong Mi (Shinsung University) Cho, Ok-Hee (Kongju National University)
저널정보
한국기본간호학회 기본간호학회지 기본간호학회지 제28권 제1호
발행연도
2021.2
수록면
23 - 31 (9page)

이용수

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

초록· 키워드

오류제보하기
Purpose: This study was done to determine the correlations among grit, social support, career barriers, and career preparation behavior in mature age nursing students, and identify factors influencing their career preparation behavior. Methods: This cross-sectional, descriptive study included 106 undergraduate nursing students aged 25 years or older at the time of entering three universities in Korea. Grit, social support, career barriers, and career preparation behavior were investigated using structured questionnaires. Data analyses included descriptive statistics, independent t-test, one-way ANOVA, Pearson’s correlation analysis, and stepwise multiple regression analysis and were performed with the SAS program (version 9.4). Results: The factors influencing career preparation behavior of mature age nursing students included: persistence of efforts (β=.35, p<.001) and consistency of interests (β=-.21, p=.011) under the sub-domains of grit; informational support (β=.29, p<.001) under the sub-domains of social support; lack of job information (β=-.36, p<.001) and anxiety about the future(β=.28, p=.008) under the sub-domains of career barriers. These variables accounted for approximately 42% of the variance in career preparation behavior. Conclusion: The findings imply that in order to improve the career preparation behavior and lower the career barriers of mature age nursing students, their individual cognitive and psychological characteristics should be considered while providing diverse job information as part of career guidance.

목차

INTRODUCTION
METHODS
RESULTS
DISCUSSION
CONCLUSION
REFERENCES

참고문헌 (30)

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