How might the procedures for data collection look for this response?To track errors in DTT, the data collection can include: Observing Stephanie’s sessions and noting when errors happen (e.g., wrong prompts or timing). Counting how many errors occur during each session. Analyzing patterns of errors (e.g., time of day, task difficulty). Getting a second opinion by having another person observe and compare data. Tracking improvement after feedback is given, like how many correct trials happen after feedback.
Identify an intervention, or set of interventions, based on the PDC-HS data.

Since the PDC-HS points to the Training domain, interventions might include:

Re-training Stephanie on the DTT steps, focusing on where mistakes are happening.

Giving feedback after each trial, showing what was right and how to fix mistakes.

Using an error correction plan to help Stephanie fix mistakes during the session.

Simplifying tasks if needed, so she can improve with easier steps first.

Increasing supervision, with more frequent checks to guide Stephanie and ensure proper implementation.