New study reveals flaws in chi-squared tests for survey data.
The article explores how clustering and stratification affect chi-squared tests for comparing groups in survey data. The test for group similarity is more impacted by these factors than the test for group independence. The researchers suggest simple adjustments to improve the accuracy of these tests and tested them with real data and models.