The G index is a measure of the similarity between individuals over dichotomous items. Some tests for the G-index are described. For each case an example is included. (Author/GK)

One argument against the G index is that, unlike phi, it is not a correlation coefficient; yet, G conforms to the Kendall and E-coefficient definitions. The G index is also equal to the Pearson product moment correlation coefficient obtained from double scoring. (Author/CP)

The Weighted H Index Delegate Discriminant Analysis method (WHIDD-analysis) is presented. It is rather similar to Holley's G-analysis, but does not utilize any component analysis and is thus cheaper and simpler to use. The WHIDD-analysis uses the weighted H-index as the E-correlation coefficient. (Author/BW)

The value of the phi coefficient cannot, in general, be uniquely determined from the G index. G is more suitable than the phi coefficient as a measure of similarity between individuals, because phi is too unstable over item reflection. (Author/RL)