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.

Question

Quizplus · Accepted Answer

Dependency between contextualized variables means that there is a correlation between the residuals within the model. This violates the assumption of independence of residuals, which can lead to biased parameter estimates and incorrect statistical inferences.

One of the Issues with Multilevel Linear Analysis Is That