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Table 3 Overview of the characteristics of the testing dataset

From: How to predict the electronic health literacy of Chinese primary and secondary school students?: establishment of a model and web nomograms

Factor EHL = 0 EHL = 1 p-value
N 235 128
Sex    0.83
 Male 123 (52.3%) 65 (50.8%)  
 Female 112 (47.7%) 63 (49.2%)  
Age 14.0 (10.0, 17.0) 15.0 (11.0, 16.0) 0.73
Race    1.00
 Han 233 (99.1%) 127 (99.2%)  
 Nhan 2 (0.9%) 1 (0.8%)  
Grade    0.83
 2 69 (29.4%) 36 (28.1%)  
 3 68 (28.9%) 34 (26.6%)  
 4 95 (40.4%) 57 (44.5%)  
 7 2 (0.9%) 0 (0.0%)  
 8 1 (0.4%) 1 (0.8%)  
Family size 4.0 (4.0, 4.0) 4.0 (4.0, 4.0) 0.47
Only child    0.54
 Yes 17 (7.2%) 12 (9.4%)  
 No 218 (92.8%) 116 (90.6%)  
Employment status    0.02
 Father working 72 (30.6%) 25 (19.5%)  
 Mother working 3 (1.3%) 3 (2.3%)  
 Parents working 31 (13.2%) 11 (8.6%)  
 No parent working 129 (54.9%) 89 (69.5%)  
Location of the household    0.74
 City 91 (38.7%) 47 (36.7%)  
 Rural 144 (61.3%) 81 (63.3%)  
Mother education 2.0 (1.0, 3.0) 2.0 (1.0, 3.0) 0.89
Father education 2.0 (2.0, 3.0) 2.0 (2.0, 4.0) 0.11
Game of online 2.0 (1.0, 3.0) 1.0 (0.0, 2.5) 0.19
Parental phubbing behavior 22.0 (17.0, 27.0) 23.5 (17.0, 28.0) 0.38
General self-efficacy 23.0 (20.0, 26.0) 27.5 (22.0, 31.0)  < 0.01