Factor analysis is a statistical method used to discover hidden “factors” (or dimensions) that explain patterns in a large set of observed variables. Instead of looking at dozens of test questions or survey items separately, factor analysis groups together items that measure the same underlying construct (like memory, anxiety, or motivation).