Ferramentas para supervisão de equipe em Análise do Comportamento Aplicada

Abstract

Effective supervision is one of the key determinants of quality in the delivery of Applied Behavior Analysis (ABA) services for individuals with Autism Spectrum Disorder (ASD); in order for these individuals to receive high-fidelity interventions, it is essential that practitioners are trained and supervised based on effective practices. Considering this, this dissertation aimed to assess various tools and models for conducting supervision in ABA teams working with ASD. In the first study, we present the performance- and competency-based supervision model, which focuses on demonstrating expected behaviors and ensuring that these behaviors reach the required levels of competence.Thus, we describe the process of developing a list of expected practitioner behaviors that could serve as a guideline for supervision based on this model, as well as how this list was used as a performance evaluation tool for teams in two ABA clinics. Two documents were created, one for each clinic, and applied as evaluation tools. The results indicated positive evaluation of the research, with supervisors considering the list useful for training planning and team monitoring. Based on the process analysis, a new model document was developed. In the second study, we introduce self-monitoring as a strategy to increase practitioners’ autonomy and improve their performance without overburdening coordinators and supervisors. This study investigated whether self-monitoring could be an effective tool for enhancing the performance of ABA practitioners. The results indicated that self-monitoring could contribute to performance improvement, with a greater impact when combined with feedback; however, several external variables were identified as influencing the process. The evaluation of the research was positive, with supervisors and practitioners considering the tool useful for their practice