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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.||URI:||http://hdl.handle.net/10356/14110||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||NIE Theses|
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