Table 2.
Variablesa | Gender (n, %) | Major (n, %) | Grade (n, %) | Type of school (n, %) | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | Female | χ2 | p | Medical | Non- medical | χ2 | p | First year | Other grades | χ2 | p | Public | Private | χ2 | p | |
K1-correct | 325 (97.0) | 523 (97.9) | 2.467 | 0.116 | 417 (97.0) | 431 (97.5) | 0.233 | 0.630 | 562 (96.7) | 286 (98.0) | 0.798 | 0.372 | 447 (98.7) | 401 (95.7) | 7.181 | 0.007 |
K2-correct | 334 (98.8) | 528 (98.9) | 0.007 | 0.936 | 427 (99.3) | 435 (98.4) | 1.509 | 0.219 | 574 (99.0) | 288 (98.6) | 0.193 | 0.661 | 449 (99.1) | 413 (98.6) | 0.579 | 0.447 |
K3-correct | 215 (63.6) | 364 (68.2) | 1.925 | 0.165 | 298 (69.3) | 281 (63.6) | 3.205 | 0.073 | 393 (67.8) | 186 (63.7) | 1.435 | 0.231 | 303 (66.9) | 276 (65.9) | 0.101 | 0.751 |
K4-correct | 171 (50.6) | 270 (50.6) | 0.000 | 0.993 | 227 (52.8) | 214 (48.4) | 1.669 | 0.196 | 293 (50.5) | 148 (50.7) | 0.002 | 0.963 | 249 (55.0) | 192 (45.8) | 7.280 | 0.007 |
K5-correct | 330 (97.6) | 530 (99.3) | 3.992 | 0.046 | 426 (99.1) | 434 (98.2) | 1.243 | 0.265 | 573 (98.8) | 287 (98.3) | 0.366 | 0.545 | 446 (98.5) | 414 (98.8) | 0.199 | 0.656 |
a The questions and correct option of each variable are described in Table 1.
Chi-square test was used to compare the percentage of correct knowledge between different groups: male vs. female, medical vs. non-medial majors, first year vs. other grades, public vs. private schools