An undergraduate research assistant (RA) will assist with administering and monitoring data collection via Qualtrics and verifying data completeness and accuracy. In addition, the RA will contribute to reviewing the literature on counselling self-efficacy and related factors, and will assist with preliminary data analyses using R. After data analyses, the RA will contribute to knowledge translation activities, such as developing visual summaries and materials for webinars. Training and ongoing support in the use of Qualtrics and R will be provided. Work will be completed in a hybrid format with a mix of virtual and in-person components. See below for more information on the research project that these tasks are related to: Research Project Overview: Mental health professionals play a vital role in supporting individual and community well-being. Training mental health professionals is a demanding but essential process that shapes the competence and well-being of future clinicians, and thus the quality of care clients receive. A critical goal during training is the development of counselling self-efficacy, which refers to the belief in one’s ability to conduct counselling interventions effectively. High counselling self-efficacy is associated with greater competence, resilience, and improved client outcomes, but relatively little is known about how it develops or what factors influence its growth over time. The goal of this project is to better understand the development of counselling self-efficacy among mental health professional trainees and the factors that predict changes in counselling self-efficacy during training. We will use a growing longitudinal dataset of mental health trainees at the Scuola di Psicoterapia Integrata, a training program for mental health professionals in Italy. The study will track changes in counselling self-efficacy across four years of professional training and examine how personal characteristics such as perfectionism and anxiety, and relational factors (i.e., sense of support and belonging within the training program) predict counselling self-efficacy development. The study will also be the first to explore how identity factors such as gender, race, sexual orientation, and immigration status influence counselling self-efficacy development. Findings will guide mental health professional education practices by identifying how, when, and for whom counselling self-efficacy develops and inform best practices in the recruitment, training, and retention of mental health professionals, ultimately improving client mental health outcomes. To learn more about the project, please contact [email protected]
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Job Type
Part-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees