The distinction between the two is not a trivial, inconsequential statistical fine point. It has real theoretical and practical importance. Each variable that loads on a factor derived via EFA cannot be understood to be an expression of a common, underlying factor, because variables typically have some additional loading on another factor. In contrast, variables that load on a single CFA factor can provisionally be understood to be alternative expressions of the same factor.
