How do you interpret communality results?

Communality results indicate the proportion of variance in each variable that can be explained by the factors in a factor analysis. A high communality value (close to 1) suggests that the variable shares a strong relationship with the underlying factors, while a low value (close to 0) indicates that the variable is poorly represented by the factors. Researchers often use these results to assess which variables contribute meaningfully to the identified factors and to refine their models accordingly. Overall, communality helps in understanding the effectiveness of the factor solution in capturing the data's structure.