17 Feb Graphing Baseline and Intervention Behavior Data
You are a special education teacher working with Alex, a 3rd-grade student who exhibits out-of-seat behavior during independent work time. This behavior disrupts learning and makes it difficult for Alex to complete assignments.
Operational Definition:
Out-of-seat behavior is defined as any time Alex leaves his chair without permission from the teacher, paraprofessional, or other staff member (i.e., administration, occupational therapist) during independent work time.
Background Information
Before implementing an intervention, you collected baseline data for 5 school days during independent work time (30-minute sessions). After baseline, you introduced an intervention: a token reinforcement system where Alex earns a token for every 5 minutes he stays seated. You collected intervention data for 5 additional school days.
Baseline Data (Days 1–5):
Day 1: 12 times out of seat
Day 2: 10 times
Day 3: 11 times
Day 4: 13 times
Day 5: 12 times
Intervention Data (Days 6–10):
Day 6: 6 times
Day 7: 5 times
Day 8: 4 times
Day 9: 5 times
Day 10: 3 times
Instructions
Read the scenario carefully.
Select your preferred data collection method from the Data Collection Methods Packet (Event Recording, Duration, Latency, Interval Recording).
Convert the raw data into percentages if needed (e.g., for interval recording or duration).
Use the blank graph provided to plot the data:
Label the Xaxis with days (1–10).
Label the Yaxis with frequency or percentage (depending on your chosen method).
Use X for Alex’s data points.
Draw a line to connect baseline data points (Days 1–5) and another line for intervention data points (Days 6–10).
Analyze the graph: Does the intervention appear to reduce outofseat behavior?
In a two-paragraph response, please answer the following questions:
Why did you choose your data collection method?
How does the graph help you visualize the effectiveness of the intervention?
What additional data might you collect to confirm the trend?
