Factor rotation is thea processcommonly foremployed interpretingstep in EFA, used to aide interpretation of factor matrixes.<ref name="Browne2001">{{cite journal |last1=Browne |first1=Michael W. |title=An Overview of Analytic Rotation in Exploratory Factor Analysis |journal=Multivariate Behavioral Research |date=January 2001 |volume=36 |issue=1 |pages=111–150 |doi=10.1207/S15327906MBR3601_05}}</ref><ref name="Sass2010">{{cite journal |last1=Sass |first1=Daniel A. |last2=Schmitt |first2=Thomas A. |title=A Comparative Investigation of Rotation Criteria Within Exploratory Factor Analysis |journal=Multivariate Behavioral Research |date=29 January 2010 |volume=45 |issue=1 |pages=73–103 |doi=10.1080/00273170903504810}}</ref><ref name="Schmitt2011">{{cite journal |last1=Schmitt |first1=Thomas A. |last2=Sass |first2=Daniel A. |title=Rotation Criteria and Hypothesis Testing for Exploratory Factor Analysis: Implications for Factor Pattern Loadings and Interfactor Correlations |journal=Educational and Psychological Measurement |date=February 2011 |volume=71 |issue=1 |pages=95–113 |doi=10.1177/0013164410387348}}</ref> For any solution with two or more factors there are an infinite number of orientations of the factors that will explain the data equally well. Because there is no unique solution, a researcher must select a single solution from the infinite possibilities. The goal of factor rotation is to [[Rotation of axes|rotate]] factors in multidimensional space to arrive at a solution with best simple structure. There are two main types of factor rotation: [[Orthogonality|orthogonal]] and [[Angle#Types of angles|oblique]] rotation.
