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
저널정보
대한한방신경정신과학회 동의신경정신과학회지 동의신경정신과학회지 제30권 제3호
발행연도
2019.1
수록면
153 - 164 (12page)

이용수

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

초록· 키워드

오류제보하기
Objectives: The purpose of this study was to examine the correlation between CSEI (The Core Seven- Emotions Inventory) and MMPI-2 (Minnesota Multiphasic Personality Inventory-2). Methods: We analyzed the correlation between students’ demographic characteristics, blood type, MMPI-2, and CSEI using the SPSS (Statistical Package for the Social Science) 24.0. Descriptive Statistical Analysis, independent t-test, analysis of variance (ANOVA), subsequent analysis duncan (post hoc multiple comparison), and correlation analysis were conducted. Results: 1. According to the demographic characteristics of 91 participants in this study: 60 males (65.9%), 88 unmarried (96.7%), 58 without religion (63.7%), 54 who have experienced stress in the last three months (59.4%), and 82 in their 20s (90.1%) comprised the majority. 2. As a result of verifying correlation by subfactors of CSEI, Hui (喜) showed statistically significant negative correlation with U (憂), Bi (悲), and Gong (恐). Six emotions except Hui (喜) showed statistically significant positive correlation, except for the relationship between U (憂) and Kyeong (驚). 3. Hui (喜) of CSEI had negative correlation with eight factors of MMPI-2 Clinical Scales except Pa (Paranoia) and Ma (Hypomania), whereas Bi (悲) had positive correlation with nine factors of MMPI-2 clinical scales except Mf (Masculinity- Femininity). Sa (思), Bi (悲), and Gong (恐) had similar tendency of positive correlation with six factors of MMPI-2 Restructured Clinical Scales. Conclusions: Based on the above results, we concluded that CSEI’s sub factors had consistent correlations with MMPI-2. Thus, CSEI could contribute to psychiatry clinical use.

목차

등록된 정보가 없습니다.

참고문헌 (27)

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