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The Effectiveness of Four-Factor Therapy: The Relationship of Therapy, Therapy Expectation, Increasing Awareness and Ordered Behavior on Reducing Marriage Conflicts


Marriage conflicts lead to reduction of marriage, health and the healthy relationship with children. The side-effects of dissatisfaction with mental and physical health of spouses and children show the necessity of marriage interactions improvement and codification of various plans. This research attempts to present new results by investigating the effectiveness of four-factor therapy: the effect of therapy, therapy hope and expectation, increasing awareness, and ordered-behavior in marriage conflicts. This research is a semi-experimental based on the research type, 26 people were selected randomly among 40 people who were volunteering to take part in the therapy group and they were distributed into two groups experiment and control. The people who were in the experiment group experience than 2-hour sessions of group tetrahedron psychotherapy and the 54-questions questionnaire of marriage conflicts were applied in both groups as a pre-test and post-test questionnaire. Multi-variable covariance analysis was deployed in order to analyze the data. The data showed the significant difference between the scores of experimental group and control group and these results show the effectiveness of four-factor psychotherapy as an effective approach for reducing marriage conflicts and for improvement of couples′ relationships. The four-factor components of therapy can be effective on reducing marriage conflicts separately. Actually, this approach creates a relationship therapy (the hope creation in relationship improvement) and by this method the couple get noticed of their problem and understand how to modify their behavior and subsequently how to organize it.

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Information Technology Inhibitors and Information Quality in Supply Chain Management: A PLS-SEM Analysis

References Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management , 30(1), 514-538. Auramo, J., Kauremaa, J., & Tanskanen, K. (2005). Benefits of IT in supply chain management: an explorative study of progressive companies. International Journal of Physical Distribution & Logistics Management , 35 (2), 82-100. Baihaqi, I., & Sohal, A. S. (2013

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