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There were 14 male-female sexual interactions for which we gathered data. The first participants were recruited at a meeting of a social discussion group aimed at bisexuals in a large city in southern California. In a bipolar measure the two poles can only be averaged, not combined e. The physical anatomy and gendered hormones one is born with, generally described as male, female, or intersex. Let us briefly describe factor analysis for readers who may be unfamiliar with this insightful exploratory statistics technique.


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Eigenvalues and proportion of variance accounted for by each factor are listed at the bottom of the corresponding column of loading values. G enerally with another term attached, like gender-fluid or fluid-sexuality, fluid ity describes an identity that is a fluctuating mix of the options available. It was my idea to extend this to sex acts and relationship types insofar as the various body-part combinations would allow , and to use cluster analysis and factor analysis to reduce the data to statistically manageable proportions. This is a lifelong and sometimes daily process. Sex acts with men.


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In every case and not surprisingly , the Heterosexual group always averages significantly lower ratings of female body parts than the other groups. Of course, the Heterosexual group members tended to have low scores on both scales, and the Homosexual and Bi-homosexual group members had high scores. The ratings of anal sex with men were, again, a bit high for the bisexual-heterosexual group, by comparison with ratings from the other four groups which fell into place nearly in a straight line as one might expect. Finally, we assessed the significance of group differences using ANOVAs and nonparametric statistics where appropriate. For each of the 12 parts of the body, there is almost never any significant difference between the Bisexual-lesbian group and the Lesbian group, and rarely any difference between the Heterosexual and Bisexual-heterosexual groups. In two different factor analyses, two rival factors may thus emerge, each emerging first in one of the two analyses, and each relegating the other to an eigenvalue of much lesser value in the corresponding analysis—even if the two samples are only a bit different from each other.


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