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
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.2
- 수록면
- 65 - 76 (12page)
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초록· 키워드
오류제보하기
The purpose of this study was to investigate effects of maladaptive personality (borderline personality, narcissistic personality, and dependent personality) and conflict behavior on marital adjustment(dyadic satisfaction, dyadic consensus, dyadic cohesion, and affectional expression) among married women. Subjects in this study were 725 married women who lived in Cheong-buk, in Gyeonggi province, Korea. Data were analyzed by the methods of frequency, percentage, Cronbach‘s α, and factor analysis, Pearson"s correlation, and hierarchical regression using SPSS-WIN version 12.0. The results of this study were as follows: 1) the less borderline personality was perceived, the more narcissistic personality was perceived, In addition, a greater perceived amount of destructive conflict behavior of wives was linked to highdyadic satisfaction in the wives". Wives" destructive conflict- behavior was the most important parameter to predict dyadic satisfaction. 2) The less borderline personality was perceived, the less dependent personality was perceived, while the more narcissistic personality was perceived, the more destructive conflict behavior of husbands was perceived, with the, wives" incidence of dyadic consensus appearing high. Husbands" destructive conflict behavior was the most important parameter to predict a dyadic consensus. 3) The less borderline personality was perceived, the more narcissistic personality was perceived, In addition, more destructive conflict behavior of the husbands was linked to highdyadic cohesion in the wives". Husbands" destructive conflict behavior was the most important to predict dyadic cohesion relatively. 4) The more destructive conflict behavior of wives was perceived, the higher the wives" affectional expression appeared. The wives" destructive conflict behavior was the most important parameter to predict affectional expression.
목차
Abstract
Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 연구결과
Ⅳ. 논의 및 결론
REFERENCE
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UCI(KEPA) : I410-ECN-0101-2013-400-001588508