: Scores representing the amount of variance accounted for by each underlying factor. Factors with eigenvalues greater than 1.0 are often considered important.
: Numerical values representing the strength and direction of the relationship between an observed variable and a latent factor.
: The actual data collected, such as individual survey questions or test scores.
: Scores representing the amount of variance accounted for by each underlying factor. Factors with eigenvalues greater than 1.0 are often considered important.
: Numerical values representing the strength and direction of the relationship between an observed variable and a latent factor.
: The actual data collected, such as individual survey questions or test scores.