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...

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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
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-14110
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spelling sg-ntu-dr.10356-141102020-11-01T06:19:01Z Hierarchical linear models with an application to educational scores Fang, Lei Phang, Rosalind Lay Ping National Institute of Education DRNTU::Social sciences::Education::Educational technology::Computer assisted instruction 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. Master of Science 2008-09-12T03:02:25Z 2008-10-20T11:25:54Z 2008-09-12T03:02:25Z 2008-10-20T11:25:54Z 1998 1998 Thesis http://hdl.handle.net/10356/14110 en 123 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Social sciences::Education::Educational technology::Computer assisted instruction
spellingShingle DRNTU::Social sciences::Education::Educational technology::Computer assisted instruction
Fang, Lei
Hierarchical linear models with an application to educational scores
description 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.
author2 Phang, Rosalind Lay Ping
author_facet Phang, Rosalind Lay Ping
Fang, Lei
format Theses and Dissertations
author Fang, Lei
author_sort Fang, Lei
title Hierarchical linear models with an application to educational scores
title_short Hierarchical linear models with an application to educational scores
title_full Hierarchical linear models with an application to educational scores
title_fullStr Hierarchical linear models with an application to educational scores
title_full_unstemmed Hierarchical linear models with an application to educational scores
title_sort hierarchical linear models with an application to educational scores
publishDate 2008
url http://hdl.handle.net/10356/14110
_version_ 1683493751500046336

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