multiple comparisons

Multiple comparisons refer to the statistical issue that arises when you conduct several tests or analyses simultaneously. Each test carries a risk of finding a false positive, meaning you may mistakenly conclude that a relationship or effect exists when it does not. The more tests you conduct, the higher the overall chance of making this error. To address this, researchers use techniques like adjusting significance levels or using specific statistical methods to control for these errors, ensuring that their findings are more reliable and accurate.