| How might the procedures for data collection look for this response? | 1. DTT Implementation Fidelity Checklist Break down each discrete trial step (e.g., deliver SD, wait for response, prompt if needed, reinforce, etc.). Score each component as: ✅ Correct ❌ Incorrect ⭕ Not applicable Track % of correct implementation across trials or sessions. 2. Error Type Tracking Note what types of errors Stephanie is making (e.g., prompting too late, skipping reinforcement, inconsistent SDs). This helps tailor the training—you're not just saying “fix DTT,” you’re targeting specific breakdowns. 3. Pre/Post Training Probes Brief sessions before and after training to see if accuracy improves. (e.g., 5 trials scored for fidelity before training → repeat after → compare scores.) |
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| Identify an intervention, or set of interventions, based on the PDC-HS data. | 1. Direct, Performance-Based Training Instruction: Review the correct DTT protocol. Modeling: Show her what it looks like. Rehearsal: Stephanie practices with a confederate or peer. Feedback: Give specific feedback immediately after. Repeat until she meets a mastery criterion (e.g., 90% correct for 3 sessions). 2. Video Modeling or Self-Modeling You can also record her sessions, then review them together, pointing out both strengths and improvement points. 3. Task Clarification Tools This helps bridge the gap between training and real-time implementation. 4. Practice Opportunities + Feedback Loop Provide immediate feedback or conduct performance reviews every few days. Reinforce her improvement efforts (social praise, recognition, shout-outs at team meetings). 5. Data + Coaching = Success If issues persist in certain areas, revisit those training components more often or in smaller chunks. |
