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Table 2 Comparison of COVID-19 knowledge between different groups

From: A cross-sectional survey of knowledge, attitude and practice associated with COVID-19 among undergraduate students in China

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
  1. a The questions and correct option of each variable are described in Table 1.
  2. 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