Use of multivariate statistical techniques to analyse internet usage survey data.

This study uses multivariate statistical techniques of principal components analysis, correlation, and regression, to analyse Internet usage survey data. The study itself is based on questionnaire data collected in the 2001 Singapore Internet Project (SIP) in the School of Communication Studies at t...

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Bibliographic Details
Main Author:	Tang, Chris.
Other Authors:	Khoo, Christopher Soo Guan
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Social sciences::Sociology::Social change
Online Access:	http://hdl.handle.net/10356/1864
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-1864
record_format	dspace
spelling	sg-ntu-dr.10356-18642019-12-10T14:13:01Z Use of multivariate statistical techniques to analyse internet usage survey data. Tang, Chris. Khoo, Christopher Soo Guan Wee Kim Wee School of Communication and Information DRNTU::Social sciences::Sociology::Social change This study uses multivariate statistical techniques of principal components analysis, correlation, and regression, to analyse Internet usage survey data. The study itself is based on questionnaire data collected in the 2001 Singapore Internet Project (SIP) in the School of Communication Studies at the Nanyang Technological University. A random sample of 1,000 adults from 1,000 households were surveyed. Its objective was to determine the impact of interactive technology upon society, especially on how the Internet would change the way people live, work and play. Master of Science (Information Studies) 2008-09-10T08:36:54Z 2008-09-10T08:36:54Z 2006 2006 Thesis http://hdl.handle.net/10356/1864 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
topic	DRNTU::Social sciences::Sociology::Social change
spellingShingle	DRNTU::Social sciences::Sociology::Social change Tang, Chris. Use of multivariate statistical techniques to analyse internet usage survey data.
description	This study uses multivariate statistical techniques of principal components analysis, correlation, and regression, to analyse Internet usage survey data. The study itself is based on questionnaire data collected in the 2001 Singapore Internet Project (SIP) in the School of Communication Studies at the Nanyang Technological University. A random sample of 1,000 adults from 1,000 households were surveyed. Its objective was to determine the impact of interactive technology upon society, especially on how the Internet would change the way people live, work and play.
author2	Khoo, Christopher Soo Guan
author_facet	Khoo, Christopher Soo Guan Tang, Chris.
format	Theses and Dissertations
author	Tang, Chris.
author_sort	Tang, Chris.
title	Use of multivariate statistical techniques to analyse internet usage survey data.
title_short	Use of multivariate statistical techniques to analyse internet usage survey data.
title_full	Use of multivariate statistical techniques to analyse internet usage survey data.
title_fullStr	Use of multivariate statistical techniques to analyse internet usage survey data.
title_full_unstemmed	Use of multivariate statistical techniques to analyse internet usage survey data.
title_sort	use of multivariate statistical techniques to analyse internet usage survey data.
publishDate	2008
url	http://hdl.handle.net/10356/1864
_version_	1681047707477606400

Use of multivariate statistical techniques to analyse internet usage survey data.

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