When we have multilevel $($nested$)$ data, a multilevel model can be utilized. This partial

pooling method is different from traditional analysis strategies such as complete pooling

or no pooling. Explain what issues traditional analysis strategies have and why a

multilevel model is preferred. Also discuss other strategies for nested data $($e$.$g$.,$ dummy

variable models and an interaction term models$)$ and their advantages and limitations$.$

Finally, explain why Bayesian method is preferred to other estimation methods in

estimating a multilevel model. Cite the relevant references while answering the questioni