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bio.sex (in Demographics)

This differs from gender only in that transgenders are missing. It does not recode transgender individuals to their biological sex. The variable is named bio.sex and not sex since, for this dataset, almost everything has to do with some kind of sex. (This variable exists only because there's a female vector in the original file; I don't really see it's purpose versus just using gender, beyond the fact that it will automatically result in the listwise deletion of transgender individuals from a regression which includes both sexes.

See also: bio.sex.r.

This variable, bio.sex, is constructed using information from the variable, gender.

This variable, bio.sex, is used in the construction of the variable, arranged.to.meet.r.

students (bio_sex)
	All Rs		Female		Male
Male	7461	31.17%	0	0.00%	7461	100.00%
Female	16479	68.83%	16479	100.00%	0	0.00%
Missing	191 (0.79%)	–	0 (0.00%)	–	0 (0.00%)	–
Total	24131	100%	16479	100%	7461	100%

Male        Female

5137, 3215, 2474, 2295, 353 2038, 1430, 1160, 980, 216

Male        Female

3537, 2041, 1598, 1477, 215 1496, 895, 729, 615, 130

These graphs reflect only undergraduates attending 4-year colleges who are of normative age -- 18, 19, 20, 21, or 22, +/- 1, for freshman, sophomores, juniors, seniors, and later undergraduates, respectively. Solid lines represent women. Dotted lines represent men.

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