Discovering the Communication Pattern of Couples with a History of Tendency to Divorce: A Data-Based Study

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Aim and Background

 Divorce, as a social harm, affects the family structure and creates the basis for numerous problems in society. Therefore, this study was conducted with the aim of discovering the communication pattern of couples with a history of tendency to divorce with a qualitative approach and data-based method.

Methods and Materials

The participants of the study included all couples referring to counseling centers and family courts in Isfahan in 1401 due to divorce. Therefore, 12 people were selected from them by purposive sampling. The data collection method was semi-structured interview. The Glaser and Strauss three-stage coding method was used to analyze the data. To obtain the reliability of the findings, the four criteria of confirmability, validity, reliability and transferability of Lincoln and Guba were used.

Findings

Data analysis resulted in 82 primary codes, 11 subcategories, 9 categories and 4 paradigms and a theoretical model.

Conclusions

The results showed that the communication pattern of couples with a history of divorce can be classified into four categories: causal conditions, background conditions, facilitating factors, and consequences. In the causal conditions section, three categories were found: emotional divorce, motivational structure, and lack of marital intimacy; in the facilitating factors section, two categories were found: unfamiliarity with married life and applying unreasonable restrictions; in the background conditions section, three categories were found: intrapersonal conflicts, lack of emotional interactions, and dissatisfaction with the spouse's performance; and in the consequences section, two categories were found: dominance (dominance of the individual ego) and lack of trust in the communication pattern of couples with a history of divorce

Language:
Persian
Published:
Journal of Research in Behavioural Sciences, Volume:22 Issue: 4, 2024
Pages:
607 to 622
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