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Suppose you are running a replication of the Brown & Sinclair (1999) study on student behavior. A participant reports a score of while others report fewer than . Apply the principle of handling valid extreme outliers to formulate a brief strategy for how you will handle this participant's data in your analysis.
Question: Suppose you are running a replication of the Brown & Sinclair (1999) study on student behavior. A participant reports a score of while others report fewer than . Apply the principle of handling valid extreme outliers to formulate a brief strategy for how you will handle this participant's data in your analysis.
Sample answer: Instead of automatically deleting the score of , I will treat it as a potentially valid estimate of atypical behavior. I will apply an analytical strategy, such as conducting the analysis both with and without the outlier, to evaluate its impact on the results.
Key points:
- Rejects automatic deletion of the extreme score of .
- Applies a specific analytical strategy (e.g., comparing analyses with and without the outlier) to handle it.
- Acknowledges the score as a potentially honest estimate of atypical behavior.
Rubric: The answer should apply the principle by rejecting automatic deletion of the outlier () and outlining a concrete analytical step (e.g., sensitivity analysis or comparing results with and without the outlier) to handle the valid extreme score.
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Research Methods in Psychology - 4th American Edition @ KPU
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