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Title: Hierarchical linear models with an application to educational scores
Authors: Fang, Lei
Keywords: DRNTU::Social sciences::Education::Educational technology::Computer assisted instruction
Issue Date: 1998
Abstract: 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.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:NIE Theses

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