When interpreting research findings, why is it crucial to consider the limitations of statistical significance? A. To simplify the analysis B. To increase the p-value C. To assess the practical significance of the results D. To conduct a one-tailed test
Question
When interpreting research findings, why is it crucial to consider the limitations of statistical significance? A. To simplify the analysis B. To increase the p-value C. To assess the practical significance of the results D. To conduct a one-tailed test
Solution
The correct answer is C. To assess the practical significance of the results.
Statistical significance tells us whether the difference in the results could have happened by chance. However, it does not tell us whether this difference is large enough to be important in practical terms. For example, a medication might statistically significantly reduce the duration of a cold by an average of 30 minutes, but this might not be practically significant enough to justify its cost or side effects. Therefore, it's crucial to consider the limitations of statistical significance when interpreting research findings.
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