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Example of Percentage of Non-Overlapping Data: Robbie's Study Time
An example of calculating the percentage of non-overlapping data (PND) can be seen in a single-subject research study by Hall and his colleagues. In this study, every single measurement of Robbie's study time during the first treatment condition was strictly greater than the highest measurement recorded during his initial baseline condition. Because all treatment responses were more extreme than the most extreme baseline response, the resulting PND was 100%, indicating a very strong treatment effect.
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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
In single-subject research, how is the percentage of non-overlapping data (PND) calculated?
Arrange the steps in the correct order to calculate the percentage of non-overlapping data (PND) in a single-subject research design.
In single-subject research, the Percentage of Non-Overlapping Data (PND) provides a summary of intervention effectiveness. Match each hypothetical data pattern to the specific analytical consequence it has on the PND calculation and its interpretation.
A researcher's evaluation of a treatment as 'ineffective' based solely on a Percentage of Non-Overlapping Data (PND) of may be logically flawed if the intervention produced a consistent improvement that simply failed to exceed one unusually extreme baseline measurement.
You are 'creating' a hypothetical dataset for a research methods tutorial to illustrate a 'moderately strong' intervention effect. Your goal is to produce a data sequence with a Percentage of Non-Overlapping Data (PND) of exactly . Given a baseline dataset of for an intervention aimed at increasing a behavior, which of the following sets of four treatment observations would you 'synthesize' to satisfy this design requirement?
The percentage of non-overlapping data (PND) is calculated by identifying the percentage of responses in a treatment condition that are more extreme than the average response in the baseline condition.
A researcher evaluates a behavioral intervention using a single-subject design to increase a student's on-task behavior. The baseline phase yields the following focus durations (in minutes): 4, 7, 5, and 8. The treatment phase yields: 10, 8, 12, 11, and 9 minutes. The Percentage of Non-Overlapping Data (PND) for this intervention is _____.
Match each hypothetical single-subject study scenario to the corresponding Percentage of Non-Overlapping Data (PND) value it yields.
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.
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In the single-subject study by Hall and colleagues regarding Robbie's study time, what was the resulting percentage of non-overlapping data (PND) since every single treatment measurement was strictly greater than the highest baseline measurement?
In the study of Robbie’s study time by Hall and colleagues, the Percentage of Non-Overlapping Data (PND) would still be 100% if one of the treatment measurements was equal to the highest measurement recorded in the baseline phase.
In a single-subject study modeled after the research on Robbie's study time, an investigator collects the following data:
Baseline study times (minutes): 10, 14, 12 Treatment study times (minutes): 16, 18, 20, 15, 22
Match each value or description from this study to its corresponding role in calculating and interpreting the Percentage of Non-Overlapping Data (PND).
A researcher conducts a single-subject study similar to the research on Robbie's study time. The baseline measurements recorded for study time are , , and minutes. Evaluate the following four sets of treatment results and arrange them in order from the set providing the weakest evidence of a treatment effect (Order 1) to the set providing the strongest evidence of a treatment effect (Order 4), based on the degree of non-overlap with the baseline maximum.
You are an instructional designer tasked with creating a 'success-state' results profile for a computer-based simulation of single-subject research. Your objective is to construct a treatment phase data set that, when compared to a baseline of , , and minutes, results in a Percentage of Non-Overlapping Data (PND) of exactly , mirroring the strong effect seen in the study of Robbie's study time. Which of the following sets of treatment data points must you generate to successfully build this specific results profile?
Match each aspect of the research on Robbie's study time (Hall and colleagues) to its corresponding finding or interpretation as presented in the study results.
Arrange the following steps in the correct logical order to calculate the Percentage of Non-Overlapping Data (PND) based on the results of Robbie's study.
In a single-subject study modeled after the research on Robbie's study time, the baseline data points are 8, 12, and 10 minutes. If the researcher identifies a 100% Percentage of Non-Overlapping Data (PND) for the intervention, then the _____ recorded measurement in the treatment phase must be strictly greater than 12 minutes.
In a hypothetical replication of the Hall et al. study on Robbie's study time, if every treatment measurement of study time exceeded the highest baseline measurement by only one minute, the resulting PND would still be 100%.
When critically evaluating the PND statistic as used in Robbie's study, a notable limitation is that a 100% PND only requires every treatment measurement to exceed the single _____ baseline measurement, meaning the statistic can indicate a 'very strong treatment effect' even when the absolute improvement over baseline is trivially small.
Describe the single-subject research study by Hall and his colleagues regarding Robbie's study time. Specifically, explain how the percentage of non-overlapping data (PND) was calculated in this study, and state the final PND percentage that indicated a very strong treatment effect.
Based on your understanding of the Percentage of Non-Overlapping Data (PND) from the study of Robbie's study time, how should the psychologist calculate the PND for this reading intervention? Determine the PND value and explain what this value implies about the treatment's effectiveness.
A researcher conducts a single-subject study where the baseline measurements for study duration are , , and minutes, and the treatment measurements are , , and minutes. Applying the calculation method from the Robbie study time example, calculate the PND and state whether this indicates a 100% treatment effect.