INVESTIGATING THE EFFICACY OF AN INTERACTIVE COMPUTER-BASED TRAINING PACKAGE AND DECISION-MAKING MODEL ON THE ACCURATE IDENTIFICATION OF DATA-BASED INSTRUCTIONAL DECISIONS BY APPLIED BEHAVIOR ANALYSIS GRADUATE STUDENTS

Board-certified behavior analysts (BCBAs) are entrusted with employing data-based decision-making (DBDM), a best-practice and proven approach that fosters client progress. Previous research implications have found low interrater agreement on visual analysis of single case design graphs, conducted by BCBAs. Inaccurate visual analysis results in erroneous clinical decisions, thus limiting client progress. This study aimed to expand on the foundational work of Wolfe et al. (2023), through employing an interactive computer-based training and decision-making model (DMM) to increase pre-service BCBAs accuracy in identifying instructional decisions. The implications of this study suggest the intervention was effective, across all participants. Moreover, in the absence of the DMM during the 1-month post intervention participants maintained high levels of accuracy in identifying instructional decisions. Limitations found in conducting this study and future research considerations are described.