What are the limitations of p-values in research?
P-values can be misleading; they don't measure the size of an effect or the importance of a result.
Can you explain why p-values are often misinterpreted?
Sure! Many people mistakenly believe a p-value indicates the probability that the null hypothesis is true.
What are some common misconceptions about p-values?
Common misconceptions include thinking that a p-value below 0.05 means a result is practically significant or true.
How can researchers avoid these pitfalls?
Researchers should report effect sizes, confidence intervals, and use p-values as part of a broader analysis.
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