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.

VariableSubgroupCluster number 1Cluster 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)

GenderFemale ()165 (74.7)138 (77.1)0.64
Male ()56 (25.3)41 (22.9)

Marital statusSingle ()199 (90.0)152 (84.9)0.13
Married (9)22 (10.0)27 (15.1)

EthnicityLor ()85 (38.5)62 (34.6)0.69
Fars (10)114 (51.6)96 (53.6)
Other ()22 (10.0)21 (11.7)

Dormitory residenceNo ()69 (31.2)45 (25.1)0.18
Yes ()152 (68.8)134 (74.9)

MajorPublic 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)

is considered statistically significant.