Table 11.

Loglinear analysis effects break down for age categories vs. genders, for all participants.

Classifications	x2	p	Odds ratio
18–29 vs 30–39
Undif vs. Masc	0.2	0.7	1.15
Undif vs. Fem	1.1	0.3	1.43
Undif vs. Andr	2.1	0.2	2.53
Masc vs. Fem	0.3	0.6	1.25
Masc vs. Andr	0.7	0.4	1.34
Fem vs. Andr	0.2	0.7	1.07
18–29 vs. 40–49
Undif vs. Masc	1.5	0.7	1.78
Undif vs. Fem	10.3	0.001 a	3.94
Undif vs. Andr	8.3	0.004 b	3.15
Masc vs. Fem	3	0.08	2.21
Masc vs. Andr	1.8	0.2	1.77
Fem vs. Andr	0.3	0.6	0.8
18–29 vs. 50–59
Undif vs. Masc	0.3	0.6	1.78
Undif vs. Fem	5.4	0.2	6.15
Undif vs. Andr	10.2	0.002 c	8.97
Masc vs. Fem	2.2	0.1	3.45
Masc vs. Andr	4.7	0.3	5.03
Fem vs. Andr	0.4	0.5	1.46
18–29 vs. +60
Undif vs. Masc	3.3	0.7	4.46
Undif vs. Fem	0	0.1	1.03
Undif vs. Andr	3.7	0.054	4.48
Masc vs. Fem	1.9	0.2	0.23
Masc vs. Andr	0	1	1.01
Fem vs. Andr	2.1	0.2	4.38

χ² = Chi square. ^a18-29 y.o more likely than 40–49 y.o to be undifferentiated vs feminine. ^b18-29 y.o more likely than 40–49 y.o to be Undifferentiated vs Androgynous. ^c18-29 y.o more likely than 50–59 y.o to be undifferentiated vs androgynous.