Table 2.
Variable | (%) |
---|---|
Gender | |
Male (n = 10) | 37 |
Female (n = 17) | 63 |
Age | |
20–25 (n = 26) | 96 |
26–30 (n = 1) | 3.7 |
> 30 (n = 0) | 0 |
Nationality | |
Turkish (n = 19) | 70 |
Cypriot (n = 4) | 14.8 |
Nigerian (n = 1) | 3.7 |
Iraqi (n = 3) | 11 |
Future Plan | |
Community Pharmacist (n = 22) | 18.5 |
Hospital Pharmacist (n = 3) | 11.1 |
Clinical Pharmacist (n = 4) | 14.8 |
Industrial Pharmacist (n = 3) | 11.1 |
Academic (Master, Ph.D.) (n = 5) | 18.5 |
Marketing (n = 1) | 3.7 |
CGPA | |
3.5–4 (n = 1) | 3.7 |
3–3.5 (n = 1) | 3.7 |
2.5–3 (n = 5) | 18.5 |
2–2.5 (n = 16) | 59.3 |
1.5–2 (n = 4) | 14.8 |
PILSa | |
Assimilator (n = 11) | 40,7 |
Diverger (n = 9) | 33.3 |
Accommodator (n = 4) | 14.8 |
Converger (n = 3) | 11 |
Having CV (n = 17) | 63 |
aPharmacist’s Inventory of Learning Styles (PILS)