When to adjust alpha during multiple testing: A consideration of disjunction, conjunction, and individual testing
Mark Rubin

TL;DR
This paper clarifies when alpha adjustments are appropriate during multiple hypothesis testing, emphasizing their suitability for disjunction testing but not for conjunction or individual testing, to improve scientific validity.
Contribution
It distinguishes three types of multiple testing and specifies the conditions under which alpha adjustment is appropriate, addressing a common misconception in research practices.
Findings
Alpha adjustment is suitable for disjunction testing.
Alpha adjustment is inappropriate for conjunction testing.
Alpha adjustment should not be automatically applied in all multiple testing scenarios.
Abstract
Scientists often adjust their significance threshold (alpha level) during null hypothesis significance testing in order to take into account multiple testing and multiple comparisons. This alpha adjustment has become particularly relevant in the context of the replication crisis in science. The present article considers the conditions in which this alpha adjustment is appropriate and the conditions in which it is inappropriate. A distinction is drawn between three types of multiple testing: disjunction testing, conjunction testing, and individual testing. It is argued that alpha adjustment is only appropriate in the case of disjunction testing, in which at least one test result must be significant in order to reject the associated joint null hypothesis. Alpha adjustment is inappropriate in the case of conjunction testing, in which all relevant results must be significant in order to…
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