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
차진희 (충남대학교 대학원 의류학과) 김재숙 (충남대학교 대학원 의류학과)
저널정보
한국의류학회 한국의류학회지 한국의류학회지 제19권 제5호
발행연도
1995.1
수록면
738 - 746 (9page)

이용수

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

초록· 키워드

오류제보하기
The purposes of this study were 1) to find out any significant relationships among genderlogy, gender identity of clothing, and attitudes toward unisex clothing, 2) to investi- gate differences in genderlogy, gender identity of clothing, and attitudes toward unisex clothing between female and male college students, 3) to understand the structual dimension of genderlogy. The theory of this study was Bem's androgyny sex role theory which suggested an individual's masculine and feminine sex role lied on separate lines rather than on a linear line. The research design was an ex post facto survey and the subjects were 222 female college students and 179 male students in Taejeon, Chungnam and Chungbuk province. Using the SPSS program, factor analysis, 1-test, Pearson correlation coefficient, and plot were calculated for statistical analysis. The findings of this study were summarized as follows: 1) The 1.test showed significant differences in genderloy, gender identity of clothing, attitudes toward unisex clothing between female and male college students. 2) There were significant relationship among genderlogy, gender identity of clothing, attitudes toward unisex clothing. 3) The moi or dimensions of genderlogy were found to be traditional sex role and equal sex roles. There were only moderate negative relationship between traditional and equal sex roles and these two dimensions affected differently on the gender identity of clothing, as well as the attitudes toward unisex clothing, therefore traditional sex roles and equal sex roles seemed to lie on separate lines, and the androgyny sex role theory was supported.

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