MThe prediction of marital satisfaction of parents with autistic children, based on their personality characteristics

Document Type : Original

Authors

1 Ph.D. student of Psychology and Exceptional Education, Science and Research Unit, Islamic Azad University, Tehran, Iran.

2 Doctor of Psychology and Exceptional Education, Senior Lecturer, Faculty of Psychology and Educational Sciences, University of Tehran,Tehran, Iran.

3 Assistant Professor at Ferdowsi University, Mashhad, Iran

4 Associate Professor of Psychology and Educational Sciences, University of Tehran,Tehran, Iran.

Abstract

The difficulty and the stress resulted from caregiving of children with autism, based on caregiver' personality characteristics, had an impact on interpersonal relationships. Therefor, current study administrated with the aim of the prediction of marital satisfaction of parent with autistic children by their personality characteristics. The present study was descriptive study by using correlation method. The statistical population consisted of all parents of autistic students of pre-elementary and elementary exceptional schools of Mashhad city in academic year of 2013-2014. By applying Cochrane formula and convenient sampling method, 95 couples among parents of these children selected as a sampling study. The data were gathered using Afrouz' couple satisfaction questionnaire and Neo five factors queationnaire. The data analyzing were done by regression test. The results indicated that personal characteristics could predict mother' marital satisfaction with the determination coefficient of 0.29 and in level of 0.01 and father' marital satisfaction with the determination coefficient of 0.26 and in level of 0.01. Corresponding to the power of the prediction of marital satisfaction based on personality characteristics of parents with autistic children, it is recommended to family counselors and therapist to consider the role of personality characteristics whenever working with them.

Keywords

References

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History

  • Receive Date: 30 June 2016
  • Revise Date: 10 March 2017
  • Accept Date: 10 March 2017

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