Misclassification errors reduce accuracy of statistical tests in contingency tables.
Classification errors in contingency tables can affect the analysis using hierarchical log-linear models. These models help describe relationships in tables. Some models are not affected by misclassification, while others are. Tests between models may have reduced power due to misclassification. More data may be needed to compensate for this loss of power.