In the context of factor analysis, factor loadings are numerical values that demonstrate how individual variables cluster onto underlying dimensions. In a factor analysis summary table, higher factor loadings indicate a stronger association between a variable and a specific factor, and researchers typically rely on the highest factor loadings to interpret and define each resulting construct.