Table 3. Characteristics of the clusters resulting from cluster and discriminant analyses
Analysis Characteristics Cluster 1 Cluster 2 test, significance (d)
N 54 83
Cluster analysis f-CDRISC 3.58 (.62) 2.81 (.64) t(135)= -6.99, p< .001 (1.22)
f-JSPE 5.91 (.31) 5.42 (.38) t(135)= -8.06, p< .001 (1.44)
f-TAS20 1.88 (.35) 2.70 (.38) t(135) = 12.91, p< .001 (2.27)
Discriminant analysis N 54 83  
f-CDRISC 3.58 (.62) 2.81 (.63) t(135)= -6.95, p< .001 (1.23)
f-JSPE 5.91 (.31) 5.43 (.38) t(135)= -7.82, p< .001 (1.40)
f-TAS20 1.87 (.34) 2.70 (.38) t(135)= 13.15, p< .001 (2.33)
Gender (F - M)   36 - 18 58 - 25 χ2(1, N=137) =.04, p=.84
Year of formation (%) 1 14 (25.9) 27 (32.5) χ2(2, N=137) =7.21, p=.03
2 16 (29.6) 37 (44.6)
3 24 (44.5) 19 (22.9)

The data correspond to average scores (SD). P value indicates the significance. The effect size is given by Cohen’s coefficient (d).

Int J Med Educ. 2018; 9:122-128; doi: 10.5116/ijme.5ac6.44ba