Research on individual differences requires correlational analysis,not ANOVA

The data of Welsh and Baucom (1977) have been reanalyzed using correlational analysis for the complete distributions in place of the analysis of variance of extreme groups. The analysis reveals a number of statistically significant correlations between composites of M-F scales and several measures of intelligence, but these are trival in size. Also the sign of the correlations depends directly on which M-F scales are selected to form composites. One can obtain a correlation between either masculinity and intelligence or femininity and intelligence depending on whether the supposed trait is measured from scales formed from the Adjective Check List or from a combination of the MMPI and the SVIB.