One limitation of the chi-square test is that it does not provide information on the strength or direction of the relationship between variables; it only indicates whether an association exists. Additionally, the test can be sensitive to sample size; large samples may lead to significant results even for small, trivial associations. Therefore, researchers should complement chi-square results with additional analyses, such as logistic regression, to gain deeper insights into the data.

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