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Table 2 Differences in Variables by Cluster Membership

From: Profiles of women’s adjustment after cancer based on sexual and psychosocial wellbeing: results of a cluster analysis

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
  1. 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]
  2. Caption: This table displays results from the three cluster ANOVA with Tukey post-hoc analyses for differences in variable means