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A fellow psychology student argues, 'As long as a researcher eventually achieves a desirable -value, the analytical decisions they made along the way—like removing a few outliers or choosing which dependent variables to report—are justified because the significant result proves the phenomenon is real.' Evaluate this argument based on the concept of p-hacking and its impact on statistical error rates.
Question: A fellow psychology student argues, 'As long as a researcher eventually achieves a desirable -value, the analytical decisions they made along the way—like removing a few outliers or choosing which dependent variables to report—are justified because the significant result proves the phenomenon is real.' Evaluate this argument based on the concept of p-hacking and its impact on statistical error rates.
Sample answer: The student's argument is fundamentally flawed. Making arbitrary analytical decisions, such as unjustified outlier removal or selectively reporting dependent variables to yield a desirable -value, is the definition of p-hacking. These practices do not prove a phenomenon is real; instead, they artificially inflate the chances of a statistically significant result, leading to an unacceptably high rate of Type I errors and severely compromising the reliability of the research.
Key points:
- Reject the argument that manipulating data to find significance is justified.
- Identify the described behaviors (arbitrary outlier removal, selective reporting) as problematic p-hacking.
- Explain that p-hacking artificially inflates the chance of a statistically significant result.
- State that this practice increases the rate of Type I errors, severely compromising research reliability.
Rubric: Full credit is given for explicitly rejecting the student's argument and accurately explaining that arbitrary data manipulation to reach a specific -value constitutes p-hacking, which artificially inflates significance and causes an unacceptably high rate of Type I errors.
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Research Methods in Psychology - 4th American Edition @ KPU
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