top of page
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.
: 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
: 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
bottom of page


