Method: Participants were 284 female elite dance and fashion model students (95 Korean dance; 99 Dance sport; and 90 Fashion model). Predictor variables were height, weight, body lengths (sitting height, arm and leg lengths, and foot length), body girths (head, neck, arm-relaxed, chest, waist, hips, thigh, and calf), and body breadths (humerus and femur). Participants were measured by experienced anthropometrists using an internationally-recognized protocol proposed by International Society for the Advancement of Kinanthropometry (ISAK) to describe physique. Evaluations of the assumptions of linearity, normality, and multicollinearity were satisfactory. Stepwise discriminant function analysis by SPSS DISCRIMINANT was used to predict membership in three groups.
Analysis/Results: Two discriminant functions were calculated, with a combined x2(20) = 530.82, p < .001. There was strong association between groups and predictors, x2(9) = 168.85, p < .001, even after removal of the first function. The two discriminant functions accounted for 76.3%, and 23.7%, respectively, of the between-group variability. The first discriminant function maximally separates fashion models from Korean dance and dance sport groups. The second discriminant function discriminates dance sport group from Korean dance group, with fashion models falling between these two groups. The best predictors for distinguishing between fashion models and the other two groups are height and waist girth. Fashion models have taller height and smaller waist girth than Korean dance and dance sport groups. The classification results showed that 88.0% (n=250) of the samples were correctly classified into their groups while 25.0% (n=71) were correctly classified based on chance.
Conclusions: Body girths, lengths, and breadths are significant predictors of performance art group membership. Further studies and analyses are warranted to develop models to predict success in different performance art groups.
Keywords: anthropometry, dance, performance art, discriminant function analysis