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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 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)

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/4681
Date06 1900
CreatorsKanyama, Busanga Jerome
ContributorsYadavalli, Sarma
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeDissertation
Format1 online resource (67 leaves :ill. ), application/pdf

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