One of the Issues with Multilevel Linear Analysis Is That

Multiple Choice

One of the issues with multilevel linear analysis is that it introduces dependency between the contextualized variables (e.g. the influence of different coaches on their athletes' confidence) , but what does this mean?

A) Residuals within the model will be correlated.
B) The variables are from different cases and therefore make the model unstable.
C) Independence of the different levels makes the analysis more prone to Type I error.
D) The experimental nature of the research design implies that the contextualized variables will differ at each level of the model.