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. 2022 Jan 27;74:103305. doi: 10.1016/j.amsu.2022.103305

Table 4.

This table shows the factors that influence specialty choices according to factor analysis.

Component
Communalities
1 2 3 4 5 6
Preference to deal with emergency cases .669 .499
Looking for a challenging specialty .574 .415
The difficulty of getting into this specialty .562 .362
Acceptable on-call duty .515 .482
Opportunity to perform procedures .500 .434
Preference to deal with non-urgent cases -.483 .543
Free time away from work .684 .546
Opportunities for part time work .677 .519
More satisfaction with family life .657 .502
Length of residency years .567 .354
Preference to deal with a narrow group of patients with specific problems .665 .486
Minimizing direct interaction with patients .638 .54
Preference to treat less complicated patients .602 .471
Personal experience in the specialty .448 .463
Following a role model in the specialty .430 .419
The appeal of being in this chosen specialty .604 .377
Variety of patients .513 .35
The degree of stress -.464 .529
likelihood of influencing patients' lives .446 .325
Reliance on clinical diagnostic skills .432 .346
Opportunities to do research .336 .198
Having long term relationship with patients .673 .475
Focus on treating patients in the clinic (outpatients) .553 .457
Private sector opportunities .659 .476
The high income .655 .505

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.