Studies that do not support the researchers' hypothesis are less likely to get published. What is this phenomenon referred to?

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This phenomenon is referred to as the "file drawer effect." Studies that do not support the researchers' hypothesis are often not published and instead "filed away" in the researchers' file drawer, resulting in a bias towards published studies being more likely to support a hypothesis. Option A, effect size, refers to the magnitude of a statistically significant result, and is not related to the issue of publication bias. Option B, non-publication bias, is related to the issue of publication bias, but does not specifically refer to the phenomenon of non-publishing studies that do not support the researchers' hypothesis. Option C, the null effect problem, refers to the difficulty in publishing studies that fail to reject the null hypothesis (i.e. finding no statistically significant effect), but does not specifically refer to the issue of publication bias against studies that do not support the researchers' hypothesis.

Studies That Do Not Support the Researchers' Hypothesis Are Less