Hierarchical linear models with an application to educational scores

Hierarchical linear models with an application to educational scores

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 estimatio...

Full description

Saved in:
Bibliographic Details
Main Author: Fang, Lei
Other Authors: Phang, Rosalind Lay Ping
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
DRNTU::Social sciences::Education::Educational technology::Computer assisted instruction
Online Access:http://hdl.handle.net/10356/14110
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary: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.

Similar Items