TABLE 1.
Rotated Factor Matrix Outcomes
| Factor 1 | Factor 2 | Factor 3 | Factor 4 | |||||
|---|---|---|---|---|---|---|---|---|
| Top 5 Contributors | Annoying | (84) | Terrible | (75) | Burning | (68) | Pricking | (63) |
| (factor loading x 100%) | Bothering | (81) | Torturing | (70) | Hurting | (63) | Pinprick- Like | (58) |
| Bothersome | (80) | Dreadful | (68) | Hot | (62) | Tingling | (55) | |
| Unpleasant | (76) | Oppressive | (62) | Painful | (61) | Sharp | (53) | |
| Itching | (67) | Awful | (62) | Warm | (58) | Feels Ant Like | (43) | |
| Eigenvalues* | 17.38 | 2.26 | 1.27 | 1.20 | ||||
| Proportions | 0.69 | 0.09 | 0.08 | 0.05 | ||||
| Cumulative Proportion | 0.69 | 0.78 | 0.83 | 0.88 | ||||
*
The initial number of factors equaled the number of descriptors (45), however, only the first few factors were retained based on an eigenvalue > 1. Thus, four factors were retained for the analysis and explained a cumulative proportion of variance of 88% which is sufficient to explain the data. The top 5 contributing descriptors from each factor are presented here.
**
Promax rotation of the data was also performed as a sensitivity analysis, which yielded essentially identical latent factors, thus the data is not shown here.