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Palardy, Gregory J.; Vermunt, Jeroen K. – Journal of Educational and Behavioral Statistics, 2010
This article introduces a multilevel growth mixture model (MGMM) for classifying both the individuals and the groups they are nested in. Nine variations of the general model are described that differ in terms of categorical and continuous latent variable specification within and between groups. An application in the context of school effectiveness…
Descriptors: Models, Classification, Effective Schools Research, Mathematics Achievement