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This general methodological discussion presents the essential features of multilevel modelling. The models described solve a number of problems in different fields, including the social and biological sciences, where data have a hierarchical structure. Practical examples are used to illustrate topics such as school effectiveness, progress in reading achievement, child growth, and social attitudes. A basic familiarity with structure and application of linear or multiple regression models is assumed.
Tate et al. (Fri,) studied this question.