The identical matrix consists of all the diagonal elements as 1. So, the null hypothesis assumes that no correlation is present among the variables. We want to reject this null hypothesis because ...

# Factor analysis is a linear statistical model. It is used to explain the variance among the observed variable and condense a set of the observed variable into the unobserved variable called factors.

A second-order confirmatory factor analysis model is applied to a correlation matrix of Thurstone reported by McDonald (1985). Using the LINEQS statement, the three-term second-order factor analysis ...

To factorize an n times m object-attribute matrix I means to decompose I into a product A omicron B of an n times k object-factor matrix A and an k times ... We focus on theoretical analysis of the ...

Factor analysis is one of such tools, giving the possibility to reduce the number of components and, as a consequence, to simplify the original problem. In this article, the method of factor analysis ...