The Effects of Data-Based, Individualized Interventions for Behavior

Abstract

Data-based individualization (DBI) is a systematic process used to guide teachers in making decisions related to students’ responsiveness to intervention. Whereas this process has been used extensively with academic interventions, far less is known about DBI used within the context of behavioral interventions. In this study, elementary general and special education teachers (a) implemented a technology-based, self-monitoring intervention with students exhibiting challenging behavior; and (b) used DBI to evaluate student progress and make intervention adaptations accordingly. Results of multilevel modeling indicated students improved their positive behavior significantly (p