In random-effects models, hierarchical linear or multilevel it is typically assumed that the variances within higher-level units are homoscedastic, meaning they equal across these units. However, this assumption often violated in research. Depending on degree of violation, can lead to biased standard errors parameters and thus incorrect inferences. article, we describe a resampling technique fo...
