Using reality therapy in clinical supervision : a psychotherapy-driven model.

Clinical supervision is the signature pedagogy of counseling, with most professional counselors engaging in some type of supervision during their careers (Bernard & Goodyear, 2014). Psychotherapy-based models of supervision are the oldest models, originally intended to train supervisees to practice a specific psychotherapy (e.g., psychodynamic, behavioral; Watkins & Scaturo, 2013). Pearson (2006) indicated that contemporary clinical supervision could be informed by both the research in the role of development in clinical supervision and the tenets of a theory of psychotherapy. Although Pearson (2006) provided a conceptualization of psychotherapy-driven models of supervision, there is little research into the efficacy of such models. Reality therapy is a psychotherapy designed to enhance client responsibility in making choices to meet needs by examining client wants and behaviors toward meet wants, then promoting client self-evaluation of behaviors to determine if new or modified actions may better meet personal wants (Wubbolding, 2011). Reality therapy is an established psychotherapy used with clients and can be conceptualized as a psychotherapy driven supervision model. A reality therapy driven supervision model is described in this paper as a model that applies the tenets of internal control psychology v and self-evaluation to both the client-counselor relationship and the supervisee-supervisor relationship to improve supervisee’s practice of counseling and use of supervision. This study is a single-case research design to evaluate the proposed reality therapy driven model of clinical supervision as an effective model for increasing supervisee report of counseling skill use and counseling self-efficacy. Three participant supervisees received reality therapy driven supervision during part of their semester-long clinical field experience. The findings indicated that for two of the three participants, self-report of skills and self-efficacy significantly increased during the reality therapy driven supervision phase, while accounting for the supervisees’ predicted growth trend. The third participant did not have a significant change in self-report of skills or self-efficacy; however, all three participants evaluated the reality therapy driven supervision process positively, stating that the model promoted self-evaluation and accountability. The results may indicate that reality therapy driven supervision may be an effective model for some supervisees. Discussion includes implications for supervision practice and future research

Acceptability and feasibility of peer assisted supervision and support for intervention practitioners: a Q-methodology evaluation

Evidence-based interventions often include quality improvement methods to support fidelity and improve client outcomes. Clinical supervision is promoted as an effective way of developing practitioner confidence and competence in delivery; however, supervision is often inconsistent and embedded in hierarchical line management structures that may limit the opportunity for reflective learning. The Peer Assisted Supervision and Support (PASS) supervision model uses peer relationships to promote the self-regulatory capacity of practitioners to improve intervention delivery. The aim of the present study was to assess the acceptability and feasibility of PASS amongst parenting intervention practitioners. A Q-methodology approach was used to generate data and 30 practitioners volunteered to participate in the study. Data were analyzed and interpreted using standard Q-methodology procedures and by-person factor analysis yielded three factors. There was consensus that PASS was acceptable. Participants shared the view that PASS facilitated an environment of support where negative aspects of interpersonal relationships that might develop in supervision were not evident. Two factors represented the viewpoint that PASS was also a feasible model of supervision. However, the third factor was comprised of practitioners who reported that PASS could be time consuming and difficult to fit into existing work demands. There were differences across the three factors in the extent to which practitioners considered PASS impacted on their intervention delivery. The findings highlight the importance of organizational mechanisms that support practitioner engagement in supervision

Attention-Based LSTM for Psychological Stress Detection from Spoken Language Using Distant Supervision

We propose a Long Short-Term Memory (LSTM) with attention mechanism to classify psychological stress from self-conducted interview transcriptions. We apply distant supervision by automatically labeling tweets based on their hashtag content, which complements and expands the size of our corpus. This additional data is used to initialize the model parameters, and which it is fine-tuned using the interview data. This improves the model's robustness, especially by expanding the vocabulary size. The bidirectional LSTM model with attention is found to be the best model in terms of accuracy (74.1%) and f-score (74.3%). Furthermore, we show that distant supervision fine-tuning enhances the model's performance by 1.6% accuracy and 2.1% f-score. The attention mechanism helps the model to select informative words.Comment: Accepted in ICASSP 201