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A researcher is evaluating an intervention using a single-subject design. The baseline condition yields response scores of 4, 3, 5, and 2. The subsequent treatment condition yields response scores of 6, 4, 7, 8, and 6. If higher scores represent the intended 'extreme' direction, apply the standard procedure to calculate the percentage of non-overlapping data (PND) for this intervention. Briefly state your final percentage and the specific numbers you used to determine it.
Question: A researcher is evaluating an intervention using a single-subject design. The baseline condition yields response scores of 4, 3, 5, and 2. The subsequent treatment condition yields response scores of 6, 4, 7, 8, and 6. If higher scores represent the intended 'extreme' direction, apply the standard procedure to calculate the percentage of non-overlapping data (PND) for this intervention. Briefly state your final percentage and the specific numbers you used to determine it.
Sample answer: The single most extreme response in the baseline condition is 5. In the treatment condition, four out of the five scores (6, 7, 8, 6) are more extreme than 5. Therefore, the PND is .
Key points:
- Identify the single most extreme baseline response as 5.
- Determine that exactly 4 out of the 5 treatment responses are more extreme than the baseline maximum.
- Calculate and report the final PND as .
Rubric: The student must correctly identify the extreme baseline score (5), count the number of treatment scores exceeding it (4 out of 5), and calculate the correct percentage ().
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Research Methods in Psychology - 4th American Edition @ KPU
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Example of Percentage of Non-Overlapping Data: Robbie's Study Time
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A researcher is analyzing Robbie's study time data. The baseline phase yields measurements of 10, 14, 11, and 15 minutes. The subsequent treatment condition yields measurements of 18, 13, 17, 19, and 16 minutes. To analyze the effectiveness of the intervention, the researcher calculates the Percentage of Non-Overlapping Data (PND) to be _____ percent.
Arrange the steps in the correct order to evaluate the effectiveness of a single-subject behavioral intervention using the Percentage of Non-Overlapping Data (PND) metric.
Define the percentage of non-overlapping data (PND) as it is used in single-subject research, and provide a concise analytical description of the specific steps required to calculate this statistical metric based on baseline and treatment responses.
Based on this calculated PND of , how should the researcher interpret the effectiveness of the intervention according to the standard principles of evaluating percentage of non-overlapping data?
A researcher is evaluating an intervention using a single-subject design. The baseline condition yields response scores of 4, 3, 5, and 2. The subsequent treatment condition yields response scores of 6, 4, 7, 8, and 6. If higher scores represent the intended 'extreme' direction, apply the standard procedure to calculate the percentage of non-overlapping data (PND) for this intervention. Briefly state your final percentage and the specific numbers you used to determine it.