Exploratory Factor Analysis -

: Scores representing the amount of variance accounted for by each underlying factor. Factors with eigenvalues greater than 1.0 are often considered important.

: Hidden variables that cannot be directly measured (e.g., "Intelligence" or "Extroversion") but influence the observable variables. Exploratory Factor Analysis

: The actual data collected, such as individual survey questions or test scores. : Scores representing the amount of variance accounted

: The proportion of variance in each observed variable that is explained by the extracted common factors. The EFA Step-by-Step Procedure Exploratory Factor Analysis EFA in SPSS Exploratory Factor Analysis