Table 4.
Comparison of COVID-19 attitude between different groups
| Variablesa | Gender (n, %) | Major (n, %) | Grade (n, %) | Type of school (n, %) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | Female | χ2 | p | Medical | Non- medical | χ2 | p | First year | Others | χ2 | p | Public | Private | χ2 | p | |
| A1-positive | 307 (90.8) | 505 (94.6) | 7.911 | 0.019 | 401 (93.3) | 411 (93.0) | 0.601 | 0.740 | 543 (93.6) | 269 (92.1) | 0.841 | 0.657 | 419 (94.5) | 393 (93.8) | 0.579 | 0.749 |
| A2-positive | 255 (75.4) | 418 (78.2) | 5.312 | 0.070 | 334 (77.7) | 339 (76.7) | 5.347 | 0.069 | 452 (77.9) | 221 (75.7) | 5.415 | 0.067 | 334 (73.7) | 339 (80.9) | 6.490 | 0.039 |
| A3-positive | 233 (68.9) | 456 (85.4) | 36.562 | < 0.001 | 353 (82.1) | 336 (76.0) | 5.101 | 0.078 | 471 (81.2) | 218 (74.7) | 5.044 | 0.080 | 370 (81.7) | 321 (76.6) | 8.819 | 0.012 |
| A4-positive | 276 (81.7) | 464 (86.9) | 4.593 | 0.101 | 369 (85.8) | 371 (84.0) | 0.978 | 0.613 | 494 (85.2) | 246 (84.3) | 0.248 | 0.883 | 385 (85.0) | 355 (84.7) | 3.319 | 0.190 |
| A5-positive | 114 (33.7) | 190 (35.6) | 0.313 | 0.576 | 142 (33.0) | 162 (36.7) | 1.264 | 0.261 | 199 (34.3) | 105 (36.0) | 0.232 | 0.630 | 175 (38.6) | 129 (30.8) | 5.897 | 0.015 |
a The questions and positive option of each variable are described in Table 3
Chi-square test was used to compare the percentage of positive attitude between different groups: male vs. female, medical vs. non-medial majors, first year vs. other grades, public vs. private schools