The choice of significance level depends on the context of the study and the potential consequences of Type I and Type II errors. A lower α (e.g., 0.01) is chosen when the cost of a false positive is high, while a higher α (e.g., 0.10) may be acceptable in exploratory studies where the cost of missing a true effect (Type II error) is higher.