Factor loadings represent the correlation coefficients between observed variables and latent factors in factor analysis, indicating the degree to which each variable is associated with a particular factor. High factor loadings suggest that the variable is strongly influenced by the factor, making it crucial for interpreting the underlying structure of the data.