Predicting Therapeutic Alliance: Supervisory Alliance and Supervisee’s Attachment Style

Year 2024, , 1 - 14, 25.07.2024

İsmail Kuşci , Tahsin İlhan , Yusuf Sarıkaya

https://doi.org/10.32568/jfce.1446693

Abstract

The aim of this study was to investigate how attachment styles and supervisory alliance predict the therapeutic alliance. Data was collected using The Therapeutic Alliance Scale, the Working Alliance Inventory: Trainee Form, and Attachment Styles in Interpersonal Relationships Scale. The study administered measuring instruments to 361 undergraduate counseling students (i.e., supervisees) from seven different state universities who had completed at least three counseling and supervision sessions. The data was analyzed using Pearson Product Moment Correlation Coefficient and Multiple Linear Regression analysis methods. The findings revealed that supervisees’ secure attachment styles positively and significantly predicted the therapeutic alliance. While the anxious-preoccupied attachment style did not significantly predict the goal and task sub-dimensions of the therapeutic alliance, it did significantly predict the bond sub-dimension and the total score of the therapeutic alliance. In contrast, the avoidant attachment style only significantly predicted the bond sub-dimension of the therapeutic alliance. Furthermore, the supervisory alliance was significantly predictor for all dimensions of the therapeutic alliance, as well as the total score.

Keywords

Attachment Styles, Counseling, Supervision, Supervisory Alliance, Therapeutic Alliance

Ethical Statement

Compliance with Ethical Standards Ethics Approval “All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.” Consent to participate “Informed consent was obtained from all individual participants included in the study.”

Thanks

This study is based on the master's thesis completed by the first author in 2019 under the supervision of the second and third authors.

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