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Data collected in the social sciences often have a multilevel or clustered structure. From this we often have research questions that are of a multilevel nature, and multilevel modeling is now widely used across health, economics, demography, education, and many other areas to analyze data clustered within units at higher levels. The editors of this essential four-volume set are among the leading figures of multilevel modeling, an approach which is at once cutting-edge and well established within research methods and the social sciences. Volume One: Linear Multilevel Models: Model formulationVolume Two: Linear Multilevel Models: Inference, diagnostics and designVolume Three: Generalized Linear Mixed ModelsVolume Four: Complex Models and Issues
