Читать книгу Multilevel Modeling in Plain Language - Karen Robson - Страница 11

There are many statistical reasons to choose multilevel modeling techniques over standard linear OLS regression. You may have accepted that you just need to learn this and don’t really care about all the technical reasons why, but we would argue that you should at least grasp the basic reasons why OLS is deficient in estimating models with nested data. You may have already tried some of the ‘workarounds’, which we discuss below, in OLS to model nested data. These ‘workarounds’ have been, and continue to be, used by many researchers and it is not difficult to find examples of them in the literature. They are still technically flawed, however, and we explain below why it is problematic to choose OLS, despite these ‘workarounds’, when trying to deal with nested data structures.