Institutional Repository

A comparison of the performance of three multivariate methods in investigating the effects of province and power usage on the amount of five power modes in South Africa

Show simple item record

dc.contributor.author Kanyama, Busanga Jerome
dc.date.accessioned 2011-08-03T10:01:06Z
dc.date.available 2011-08-03T10:01:06Z
dc.date.issued 2011-06
dc.identifier.citation Kanyama, Busanga Jerome (2011) A comparison of the performance of three multivariate methods in investigating the effects of province and power usage on the amount of five power modes in South Africa, University of South Africa, Pretoria, <http://hdl.handle.net/10500/4681> en
dc.identifier.uri http://hdl.handle.net/10500/4681
dc.description.abstract Researchers perform multivariate techniques MANOVA, discriminant analysis and factor analysis. The most common applications in social science are to identify and test the effects from the analysis. The use of this multivariate technique is uncommon in investigating the effects of power usage and Province in South Africa on the amounts of the five power modes. This dissertation discusses this issue, the methodology and practical problems of the three multivariate techniques. The author examines the applications of each technique in social public research and comparisons are made between the three multivariate techniques. This dissertation concludes with a discussion of both the concepts of the present multivariate techniques and the results found on the use of the three multivariate techniques in the energy household consumption. The author recommends focusing on the hypotheses of the study or typical questions surrounding of each technique to guide the researcher in choosing the appropriate analysis in the social research, as each technique has some strengths and limitations. en
dc.format.extent 1 online resource (67 leaves :ill. )
dc.language.iso en en
dc.subject Discriminant analysis en
dc.subject Canonical correlation en
dc.subject Correlation matrix en
dc.subject Principal component analysis en
dc.subject Correlation analysis en
dc.subject Theory based on MANOVA en
dc.subject Multivariate analysis of variance (MANOVA)
dc.subject Factor analysis
dc.subject Statistical tests
dc.subject Two-way factor
dc.subject Statistical assumptions
dc.subject Partial eta-square
dc.subject Post hoc text
dc.subject Factor
dc.subject Component
dc.subject Exploratory factor analysis and confirmatory factor analysis
dc.subject.ddc 519.5350968
dc.subject.lcsh Multivariate analysis
dc.subject.lcsh Matrices
dc.subject.lcsh Social sciences -- South Africa -- Statistical methods
dc.title A comparison of the performance of three multivariate methods in investigating the effects of province and power usage on the amount of five power modes in South Africa en
dc.type Dissertation en
dc.description.department Statistics
dc.description.degree M. Sc. (Statistics)


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search UnisaIR


Browse

My Account

Statistics