Further Evaluation Of A Decision Making Algorithm To Aid In Training Visual Analysis

Visual analysis is an important component of evaluating graphically displayed data and making clinical decisions in Applied Behavior Analysis (ABA). The individuals responsible for implementing behavioral interventions and analyzing data are often behavior technicians who may not be provided with effective training to be proficient in visually analyzing data. Therefore, there is a need for an effective and streamlined method to train visual analysis. Previous research has suggested the support of a clinical decision-making algorithm (DMA) to aid in making correct clinical judgments. The current study trained six graduate students to make clinical decisions using a computer-based training and the aid of the DMA. Correct responding was evaluated upon removal of the DMA. Five of the six participants increased their percentage of accurate responses with the DMA alone. High levels of correct responding maintained for four of the six participants.