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Chang, Wanchen; Pituch, Keenan A. – Journal of Experimental Education, 2019
When data for multiple outcomes are collected in a multilevel design, researchers can select a univariate or multivariate analysis to examine group-mean differences. When correlated outcomes are incomplete, a multivariate multilevel model (MVMM) may provide greater power than univariate multilevel models (MLMs). For a two-group multilevel design…
Descriptors: Hierarchical Linear Modeling, Multivariate Analysis, Research Problems, Error of Measurement