Many scholars have written guidelines for extraction of factors, focusing on the strengths of a particular extraction technique or a particular extraction criterion (e.g., eigenvalues, scree plots, parallel analysis). Throughout this chapter we argue that each of these methods provides valuable insight on the number of factors underlying the data. One method should not be used as the method to rule them all, and similarly we do not need consensus among the methods that we do use. It is best to make decisions based on multiple criteria, and it is essential that those decisions make theoretical sense. Remember, EFA is meant to be followed up by CFA—so the decisions that you make are not set in stone.