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

Table 2 Comparison of COVID-19 knowledge between different groups

Variables^a	Gender (n, %)				Major (n, %)				Grade (n, %)				Type of school (n, %)
Variables^a	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

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