Estimators Biased When Wrong Heteroscedasticity Form Used, Study Shows.
The article explores how two different methods use the pattern of error variability to figure out the impact of a certain factor in a linear model. The researchers tested these methods in simulations and found that they can give wrong results if the error pattern is not what they expect. This means researchers need to be careful when using these methods and not just assume the error pattern is correct.