The disadvantage of enumeration tests lies in their potential to be time-consuming and resource-intensive, particularly when dealing with large datasets. Additionally, these tests may suffer from limitations in statistical power, making it difficult to detect significant differences in smaller sample sizes. Furthermore, they can also lead to inflated Type I error rates if multiple hypotheses are tested without appropriate corrections.
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