Mesbahi E, AmiriMajd M, Ghamari M, Bazazian S. Development of a Model to Predict Emotional Failure in Students According to Personal Factors and Initial Maladaptive Schemas and Quality of Love Relationships. IJPCP 2019; 25 (1) :42-55
URL:
http://ijpcp.iums.ac.ir/article-1-2891-en.html
1- PhD. Candidate in Consulting, Department of Counseling, Faculty of Humanities, Abhar Branch, Islamic Azad University, Abhar, Iran.
2- PhD. in Psychology and Exceptional Children Education, Associate Professor, Department of Counseling, Faculty of Humanities, Abhar Branch, Islamic Azad University, Abhar, Iran. , amirimajd@yahoo.com
3- PhD. in Consulting, Associated Professor, Department of Counseling, Faculty of Humanities, Abhar Branch, Islamic Azad University, Abhar, Iran.
4- PhD. in Health Psychology, Associate Professor, Department of Counseling, Faculty of Humanities, Abhar Branch, Islamic Azad University, Abhar, Iran.
Abstract: (6295 Views)
Objectives Love trauma is a common phenomenon among university students which causes educational and psychological problems in them. This study aimed to determine the role of personality traits, early maladaptive schemes, and the quality of attachment relationships in predicting Love Trauma (LT) syndrome.
Methods In this correlational study, the statistical population consisted of all patients referring to counseling centers of Iran University of Medical Sciences, Tehran University, and Islamic Azad University of Roudehen branch, with a complaint of emotional breakdown. Using purposeful sampling method, a total of 200 patients were selected as study samples. They were screened based on the cut-off point of Love Trauma Index (LTI). Data analysis was conducted using Structural Equation Modeling (SEM) method in LISREL Software.
Results SEM model showed a root mean square error of 0.047 which indicate good model fit.
Conclusion The provided model for predicting LT syndrome was a good fitting model. Personality traits, early maladaptive schemes, and the quality of attachment relationships could predict LT syndrome.
Type of Study:
Original Research |
Subject:
Psychiatry and Psychology Received: 2018/08/6 | Accepted: 2018/11/17 | Published: 2019/04/1