A level of significance refers to a researcher's willingness to be wrong when making a statistical decision, typically represented as a probability threshold. It indicates the threshold at which a researcher will reject the null hypothesis, reflecting their confidence in the findings. This concept is crucial for controlling the risk of Type I errors in hypothesis testing.