Predicting Marital Adjustment among Young Teaching Couples on the Basis of Differentiation from the Family of Origin and Parents Marital Satisfaction
Author(s):
Abstract:
The aim of this study was to predict marital adjustment among young teaching couples based on differentiation from family of origin and parents'' marital satisfaction. The survey was conducted among teachers in Kermanshah who were married for at least one year or whose marriage lasted maximum ten years and had no history of divorce. The statistical sample included 155 individuals who were selected through cluster sampling method. The instrumentation included the Dyadic Adjustment Scale (Spanier¡ 1976)¡ Differentiation of Self Inventory (Skowron)¡ as well as a self-devised Parents'' Marital Satisfaction Questionnaire. The data were analyzed using correlation coefficient and regression analysis (enter method). The results showed that there was a significant positive relationship between parents'' marital satisfaction¡ selfdifferentiation¡ and young couples marital adjustment. In fact¡ parents'' marital satisfaction and differentiation from family of origin both positively predicted young couples marital adjustment.
Keywords:
Language:
Persian
Published:
Journal of Family and Research, Volume:13 Issue: 2, 2016
Page:
87
magiran.com/p1672066
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یکساله به مبلغ 1,390,000ريال میتوانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
- پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانههای چاپی و دیجیتال را به کاربر نمیدهد.
In order to view content subscription is required
Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!