Research Article
Clustering Undergraduate Students Based on Academic Burnout and Satisfaction from the Field Using Partitioning around Medoid
Table 3
The association between demographic variables and suggested clusters.
| Variable | Subgroup | Cluster number 1 | Cluster number 2 | value |
| Age | years () | 68 (30.8) | 61 (34.1) | 0.61 | 21-23 years () | 118 (53.4) | 95 (53.1) | years () | 35 (15.8) | 23 (12.8) |
| Gender | Female () | 165 (74.7) | 138 (77.1) | 0.64 | Male () | 56 (25.3) | 41 (22.9) |
| Marital status | Single () | 199 (90.0) | 152 (84.9) | 0.13 | Married (9) | 22 (10.0) | 27 (15.1) |
| Ethnicity | Lor () | 85 (38.5) | 62 (34.6) | 0.69 | Fars (10) | 114 (51.6) | 96 (53.6) | Other () | 22 (10.0) | 21 (11.7) |
| Dormitory residence | No () | 69 (31.2) | 45 (25.1) | 0.18 | Yes () | 152 (68.8) | 134 (74.9) |
| Major | Public health () | 27 (12.2) | 35 (19.6) | 0.14 | Environmental health (1) | 41 (18.6) | 20 (11.2) | Laboratory sciences () | 26 (11.8) | 22 (12.3) | Nursing () | 35 (15.8) | 28 (15.6) | Radiologic technology () | 13 (5.9) | 12 (6.7) | Anesthesia () | 26 (11.8) | 20 (11.2) | Surgical technology () | 31 (14.0) | 16 (8.9) | Midwifery () | 22 (10.0) | 26 (14.5) |
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is considered statistically significant. |