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

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

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 P...

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Bibliographic Details
Main Author: Kanyama, Busanga Jerome
Other Authors: Yadavalli, Sarma
Format: Others
Language:en
Published: 2011
Subjects:
Discriminant analysis
Canonical correlation
Correlation matrix
Principal component analysis
Correlation analysis
Theory based on MANOVA
Multivariate analysis of variance (MANOVA)
Factor analysis
Statistical tests
Two-way factor
Statistical assumptions
Partial eta-square
Post hoc text
Factor
Component
Exploratory factor analysis and confirmatory factor analysis
519.5350968
Multivariate analysis
Matrices
Social sciences > South Africa > Statistical methods
Online Access: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>
http://hdl.handle.net/10500/4681

Internet

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>
http://hdl.handle.net/10500/4681

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