The significance level (α) in hypothesis testing is the threshold for rejecting the null hypothesis, representing the probability of a Type I error (false positive). Commonly set at 0.05, it is determined by the researcher's tolerance for error and the study's context. It plays a critical role by defining the p-value cutoff to decide whether the results are statistically significant.