Exploratory Factor Analysis (2024)

: 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

: Numerical values representing the strength and direction of the relationship between an observed variable and a latent factor. : Scores representing the amount of variance accounted

: The actual data collected, such as individual survey questions or test scores. Exploratory Factor Analysis