Whether you are looking for multivariate data analysis or structured equation modeling, we offer the right blend of solutions to complete the data analysis chapter. One of the frequently searched questions in statistics is: What is a Principal Component Factor Analysis? The key aim of principal components factor analysis is to minimise the number of variables in the analysis by using a surrogate variable to represent a bunch of variables. Analysis of data result indicates the association amongst the original variables and the factors, so that making correct substitutions is possible.
Principal Component Analysis PCA is normally employed to ease up the data set before further multivariate tests can be done on it. Statistics is an integral part of research on most topics and not many people know this subject to the extent required to complete a research. So the demand for quality services in academic statistical help has risen in recent years.
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