Exploratory Factor Analysis (EFA) is a technique to explore the underlying factors of a large set of observed variables which cannot be measured directly.. by L Sürücü · Cited by 29 — The main topics of discussion are sample size, number of items, item extraction methods, factor retention criteria, rotation methods and general applicability .... The function compares EFA solutions from multiple random starts or from multiple rotation criteria.

Usage. efaMR(x=NULL, factors=NULL, covmat=NULL, n.obs=NULL, .... Factor rotation is a crucial component in EFA. It is a technique used to simplify the factor structure by reorganizing the factors to enhance the ....

There are a several important decisions a researcher needs to make for EFA including: the method used for choosing the number of factors to retain, the rotation ....