Table 2.

Differences in Variables by Cluster Membership

Variable	df	F	Ƞ2	p
Years since diagnosis	2	0.076	0.001	0.927
Year since treatment	2	1.032	0.009	0.358
FACT-G Physical Wellbeingb,c	2	15.623	0.125	0.000
FACT-G Social Wellbeinga,b,c	2	36.567	0.262	0.000
FACT-G Emotional Wellbeingb,c	2	24.572	0.204	0.000
FACT-G Functional Wellbeingb,c	2	19.731	0.173	0.000
FACT-G Totalb,c	2	30.792	0.263	0.000
GAD-7b,c	2	51.532	0.319	0.000
PHQ-8 b,c	2	43.350	0.284	0.000
FSFI Desire Subscalea,c	2	28.197	0.227	0.000
FSFI Arousal Subscalea,c	2	29.204	0.255	0.000
FSFI Lubrication Subscalea,c	2	17.041	0.169	0.000
FSFI Orgasm Subscalea,c	2	19.470	0.188	0.000
FSFI Satisfaction Subscalea,b,c	2	66.476	0.443	0.000
FSFI Pain Subscalea,c	2	17.059	0.170	0.000
FSFI Totala,c	2	32.829	0.285	0.000
FSDSa,b,c	2	208.750	0.663	0.000
SECSIa,c	2	34.954	0.316	0.000
DAS-7a,c	2	16.277	0.133	0.000
DSCSa,c	2	108.382	0.507	0.000
Agec	2	3.198	0.029	0.043
Years with partnerb	2	3.268	0.030	0.040

Legend: ^a, significant difference between clusters one and two; ^b, significant difference between clusters two and three; ^c, significant difference between clusters one and three; p < 0.05. Eta-squared values in theory can range from 0 (no difference) to 1 (maximally different). Cohen’s conventions for interpretation of η² values suggest that effect sizes of about .01 are small, .06 to .14 are medium, and above .14 are large [26]

Caption: This table displays results from the three cluster ANOVA with Tukey post-hoc analyses for differences in variable means