Testing for MCAR involves statistical methods that evaluate the randomness of the missing data. One commonly used test is Little's MCAR test, which assesses the null hypothesis that the data is missing completely at random. If the p-value obtained from this test is not statistically significant, it suggests that the missing data mechanism is consistent with MCAR.
