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dc.contributor.authorTang, Chris.en_US
dc.description.abstractThis 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.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Social sciences::Sociology::Social change-
dc.titleUse of multivariate statistical techniques to analyse internet usage survey data.en_US
dc.contributor.supervisorKhoo, Christopher Soo Guanen_US
dc.contributor.schoolWee Kim Wee School of Communication and Informationen_US
dc.description.degreeMaster of Science (Information Studies)en_US
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