What type of data is included in DTT program data?

Discrete Trial Training (DTT) is a structured method often used in behavior analysis, particularly for individuals with autism. The primary focus of DTT is to teach skills by breaking them down into smaller, manageable parts and providing opportunities for the learner to practice these skills in a controlled environment.

Behavior frequency data is integral to DTT as it captures how often a specific behavior occurs during the intervention sessions. This type of data allows practitioners to measure the effectiveness of the teaching procedures by assessing changes in behavior over time. By documenting the frequency of correct responses or the occurrence of targeted behaviors, educators and therapists can evaluate the learner's progress, adjust instructional strategies as needed, and make informed decisions about future interventions.

In contrast, attendance records, graphing data, and lesson plans, while relevant in educational settings, do not directly pertain to the core aspects of a DTT program's data collection methodology focused on behavior and learning outcomes. Attendance records track presence but do not indicate performance; graphing may be a method to visualize data but is not a specific type of data itself; lesson plans outline what is to be taught but do not measure how well it has been learned. Therefore, behavior frequency data stands out as the most relevant and meaningful type of data collected