Choosing the right goodness of fit test depends on several factors:
Type of Data: Is the data categorical, continuous, or ordinal? Distribution Assumptions: Does the model assume a specific distribution like normality? Sample Size: Some tests are more appropriate for small samples, while others perform better with large samples. Sensitivity Requirements: Does the test need to be sensitive to deviations in the tails or the center of the distribution?
