Hierarchical linear models with an application to educational scores
Date of Issue1998
In social research work, the structure of the data are often hierarchical. Hierarchical linear models (HLM) is a statistical method that takes this hierarchical structure into account. Hierarchical linear models is a generalization of traditional regression methods. It develops an improved estimation of effects within individual units, the formulation and testing of hypotheses about cross-level effects, and the partitioning of variance and covariance components among levels.
DRNTU::Social sciences::Education::Educational technology::Computer assisted instruction