The removal of the treatment in a reversal design significantly increases a study's internal validity compared to a simpler AB design. By demonstrating that the dependent variable changes when the treatment is introduced and subsequently reverts when the treatment is withdrawn—assuming the treatment does not create a permanent effect—researchers can more confidently rule out extraneous variables and conclude that the intervention caused the observed changes.