Data Mining and Multilevel Modeling
Abstract
This chapter presents a brief introduction of data mining and, within the context of modeling, it discusses multilevel models in detail, clarifying the circumstances in which they can be used. The main objective is to estimate the parameters for two-level hierarchical linear models with clustered data, and for three-level models with repeated measures, as well as to offer the conditions for their correct interpretation. The results of the statistical and likelihood-ratio tests as regards these models are evaluated, which allows us to distinguish one multilevel model from a traditional regression model. From the concepts and techniques presented, we can propose models in which it is possible ...
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