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Do extreme outliers in a dataset always indicate measurement errors or participant misunderstandings? Recall the findings and example from the Brown & Sinclair (1999) study to explain what extreme outliers can represent and how researchers should approach them.
Question: Do extreme outliers in a dataset always indicate measurement errors or participant misunderstandings? Recall the findings and example from the Brown & Sinclair (1999) study to explain what extreme outliers can represent and how researchers should approach them.
Sample answer: No, extreme outliers do not necessarily indicate measurement errors or misunderstandings. They can sometimes represent honest and accurate estimates of extreme, highly atypical behavior. In the study by Brown & Sinclair (1999), the vast majority of university students reported fewer than lifetime sexual partners, but a few reported extreme scores of or . Although these could be intentional exaggerations or errors, it is also plausible that they reflect accurate estimates of atypical behavior. Therefore, researchers must carefully consider how to handle them analytically rather than automatically discarding them.
Key points:
- Extreme outliers do not necessarily indicate measurement errors or participant misunderstandings.
- Outliers can represent honest and accurate estimates of extreme behavior.
- In Brown & Sinclair (1999), the majority reported fewer than partners, while a few reported or .
- Researchers should consider analytical strategies to handle outliers rather than automatically discarding them.
Rubric: Answers must state that extreme outliers do not automatically indicate error or misunderstanding, explain that they can represent honest and accurate estimates of atypical behavior, cite the Brown & Sinclair (1999) study where most participants reported fewer than partners but a few reported or , and conclude that researchers should carefully determine how to handle them analytically instead of automatically discarding them.
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Research Methods in Psychology - 4th American Edition @ KPU
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