An approach to selecting factor or component count by comparing observed eigenvalues with reference values obtained from uncorrelated random data of matching dimensions. The reference must match the intended extraction and correlation approach. John L. Horn proposed a random-variable procedure to assess sampling contributions to the roots.[ref] Use it with substantive interpretation and model assessment rather than as a universal guarantee of a correct factor count.
