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Jordan G. Stewart is a 2019 graduate of the PsyD Program in Clinical Psychology at Antioch University, New England
Dissertation Committee
- Theodore J. Ellenhorn, Ph.D., ABPP, Committee Chair
- Gina Pasquale, Psy.D., Committee Member
- Vince Pignatiello, Psy.D., Committee Member
Keywords
Rorschach, R-PAS, Working Alliance Inventory
Document Type
Dissertation
Publication Date
2019
Abstract
The aim of this study was to explore the Rorschach’s ability to predict the working alliance by investigating associations between specific Rorschach Performance Assessment System (R-PAS) variables and the Goals, Tasks, and Bonds dimensions of the Working Alliance Inventory (WAI). Specific R-PAS variables were chosen based their theoretical relatedness to the three dimensions of the WAI. The linear multiple regression results trended toward significance within the Goals domain, with the Human Movement Proportion score (M/MC) significantly predicting individual’s initial WAI Goals scores, indicating that individuals who possibly have difficulty modulating their emotions and tend to be more reactive in their responses may have a more difficult time creating and maintaining goals in therapy. The minimal significant finding is most likely due to a lack of statistical power due to a small sample size, making it challenging to detect meaningful relationships among variables. Unique to this study was the opportunity to examine a collective sample of Rorschach tests, which provided information regarding individuals’ psychological resources and their cognitive, affective, and relational functioning. From these data, a picture emerged of an individual who would likely consent to take a Rorschach and provide their data for research purposes, providing important clinical implications. Future research with a larger sample size will be necessary to thoroughly examine the relationship between the Rorschach and the WAI.
Recommended Citation
Stewart, J. G. (2019). The Rorschach’s (R-PAS) Capacity to Predict Quality of the Working Alliance. https://aura.antioch.edu/etds/504