Читать книгу Multilevel Modeling in Plain Language - Karen Robson - Страница 12

Multilevel modeling is an extension of OLS. The thing that makes multilevel modeling special is that it addresses specific violations of the ‘assumptions’ of OLS. Remember the assumptions? These are the conditions under which OLS regression works properly. All statistics have a set of assumptions under which they perform as they were intended.

One assumption is that the relationship between the independent and dependent variable is linear. Another is that the sample used in the analysis is representative of its population. Yet another is that the independent variables are measured without error. We more or less follow these assumptions in our day-to-day usage of OLS – and we should check that we are meeting some of these assumptions by doing regression diagnostics.