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

• 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

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. === Statistics === M. Sc. (Statistics)