Research Article
Clustering Undergraduate Students Based on Academic Burnout and Satisfaction from the Field Using Partitioning around Medoid
Table 4
the association between wealth related variables and suggested clusters.
| | Variable | Subgroup | Cluster number 1 | Cluster number 2 | value |
| | Own car | No () | 201 (91.0) | 158 (88.3) | 0.41 | | Yes () | 20 (9.0) | 21 (11.7) |
| | Own laptop | No () | 141 (63.8) | 124 (69.3) | 0.29 | | Yes () | 80 (36.2) | 55 (30.7) |
| | Self-income | Nothing () | 193 (87.3) | 156 (87.2) | 0.52 | | < 50$ per months () | 15 (6.8) | 8 (4.5) | | 50 to 100$ per months () | 7 (3.2) | 6 (3.4) | | > 100$ per months () | 6 (2.7) | 9 (5.0) |
| | Family income | < 200$ per months () | 54 (24.4) | 47 (26.3) | 0.95 | | 200 to 400$ per months () | 107 (48.4) | 85 (47.5) | | 400 to 600$ per months () | 48 (21.7) | 39 (21.8) | | > 600$ per months () | 12 (5.4) | 8 (4.5) |
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is considered statistically significant. |
