Volume 15, Issue 59 (10-2016)                   QJCR 2016, 15(59): 38-57 | Back to browse issues page

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Samadi Fard H R, Narimani M, Mikaeili N, Sheykholeslami A. The Role of Cognitive Avoidance Components and Metacognitive Belief in the Prediction of Spouses Emotional Divorce.. QJCR 2016; 15 (59) :38-57
URL: http://irancounseling.ir/journal/article-1-243-en.html
Mohaghegh Ardabili, Iran
Abstract:   (13063 Views)

Background: Emotional divorce is considered as the most important factor in the rupture of the most fundamental structure of society, namely the family. This study aimed to investigate the role of cognitive avoidance components and metacognitive belief in the prediction of Spouses emotional divorce. Methods: The study statistical population consisted of all Spouses in Ardabil city in 2015. 120 people (60 married Spouses) were selected as the statistical sample using the convenience sampling. Data were collected through cognitive avoidance scale (Dugas & Sextons, 2004), MCQ-30 metacognitive belief scale (wells & Cartwright-Hatton, 2004), and Gutman's emotional divorce scale (2008). Research data were analyzed by Independent t test, Pearson correlation coefficient and multiple regression methods. Findings: The study results showed there is not meaningful difference among emotional divorce of men and women (p<0.05). Also, that a significant positive relationship exists between cognitive avoidance components and Spouses emotional divorce (p<0.05). In addition, a significant negative relationship existed between metacognitive belief and Spouses emotional divorce (p<0.05). Beta coefficients for predictor variables indicated that thoughts repression (15%), thoughts succession (13%), distractions (16%), changing image to thought (40%), and metacognitive belief (-14%) have significantly predictive capability of Spouses emotional divorce (p<0.05). Conclusion: Thus, it can be concluded that cognitive avoidance components and metacognitive belief are considered as the variables related to Spouses emotional divorce and have predictive capability of it.

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Type of Study: Research | Subject: General
Received: 2016/03/18 | Accepted: 2016/09/5 | Published: 2017/02/12

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