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The rigid convention of statistical significance contributes to the 'file drawer problem,' where high-quality research that does not reach the $$p < 0.05$$ threshold remains unpublished. Because journals prioritize significant results, many studies with similar effect sizes are excluded from the scientific literature simply because they fell on the wrong side of an arbitrary threshold.

The File Drawer Problem in Null Hypothesis Testing

In the context of null hypothesis testing, which of the following best describes the 'file drawer problem'?

According to the 'file drawer problem,' if two high-quality studies demonstrate similar effect sizes, the study that fails to reach the p < 0.05 significance threshold is less likely to be published.

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