Volume 14, Issue 1 (March 2016)                   Iranian Rehabilitation Journal 2016, 14(1): 69-73 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Saffarian Z, Goodarzi M A, Abbasian M, Molazadeh J, Hadianfard H. Prediction of Severity of Delusion Based on Jumping-to-Conclusion Bias in Schizophrenia Patients. Iranian Rehabilitation Journal 2016; 14 (1) :69-73
URL: http://irj.uswr.ac.ir/article-1-634-en.html
Prediction of Severity of Delusion Based on Jumping-to-Conclusion Bias in Schizophrenia Patients
Zahra Saffarian * 1, Mohammad Ali Goodarzi2 , Maryam Abbasian3 , Javad Molazadeh3 , Habib Hadianfard3
1- Department of Clinical Psychology ,University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
2- Department of Clinical Psychology, Faculty of Education and Psychology, Shiraz University, Shiraz, Iran.
3- Department of Clinical Psychology, Sari Branch, Islamic Azad University of Sari, Sari, Iran.
Abstract:   (4828 Views)

Objectives: New cognitive theories of delusions have proposed that deficit or bias in inference stage (a stage of normal belief formation) is significant in delusion formation. The aim of this study was predicting the severity of delusions based on jumping-to-conclusion bias in patients with schizophrenia.
Methods: The sample consisted of 60 deluded patients with schizophrenia who were selected from the Ebnesina and Razi hospitals in Shiraz using convenience sampling method. The Similarity Task was used to measure the jumping-to-conclusion biases.
Results: Its results have shown that the jumping-to-conclusion biases could predict a great part of the variance of delusions.
Discussion: These results generally indicated that the jumping to conclusion biases may provide a more useful explanation for the delusion formation.

Keywords: Jumping–to-conclusion bias, Delusion, Similarity task
Full-Text [PDF 520 kb]   (1841 Downloads)    
Article type: Original Research Articles |
Received: 2015/09/5 | Accepted: 2015/12/28 | Published: 2016/03/1
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Designed & Developed by : Yektaweb