Table 5 The influence of various factors on email etiquette (univariate analysis)

Age at sending (n = 162)

Correlation^a)

0.061

0.043

0.034

−0.063

0.202*

−0.080

−0.050

0.158

0.321

0.228

0.206

p-value

0.469

0.626

0.664

0.449

0.010

0.316

0.531

0.045

<0.001

0.003

0.009

Gender (n = 140)

Male (87)^b)

1.51 ± 0.48

0.53 ± 0.48

1.1 ± 0.95

0.71 ± 0.5

0.95 ± 0.17

0.96 ± 0.13

0.8 ± 0.38

0.71 ± 0.42

0.85 ± 0.98

2.57 ± 0.84

62.59 ± 17.2

Female (53)^b)

1.54 ± 0.49

0.52 ± 0.48

1.38 ± 0.85

0.59 ± 0.52

0.94 ± 0.19

0.91 ± 0.23

0.54 ± 0.48

0.78 ± 0.37

0.97 ± 0.96

2.6 ± 0.78

63.21 ± 18.51

p-value^c)

0.742

0.936

0.057

0.158

0.891

0.099

0.001

0.330

0.438

0.775

0.829

Current course (n = 210)

Premedical (37)^b)

1.61 ± 0.45

0.45 ± 0.49

1.19 ± 0.97

0.82 ± 0.49

0.87 ± 0.26

0.97 ± 0.12

0.7 ± 0.43

0.63 ± 0.43

0.41 ± 0.79

2.31 ± 0.77

57.16 ± 20.35

Medical (173)^b)

1.43 ± 0.48

0.51 ± 0.48

1.23 ± 0.9

0.59 ± 0.5

0.96 ± 0.16

0.93 ± 0.19

0.67 ± 0.45

0.78 ± 0.39

1.06 ± 0.97

2.66 ± 0.8

63.3 ± 16.76

p-value^c)

0.062

0.563

0.818

0.023

0.051

0.118

0.670

0.036

<0.001

0.013

0.053

Admission type (n = 125)

UEP (66)^b)

1.47 ± 0.49

0.52 ± 0.49

1.04 ± 0.94

0.59 ± 0.5

0.95 ± 0.15

0.9 ± 0.23

0.77 ± 0.4

0.69 ± 0.44

0.78 ± 0.94

2.37 ± 0.78

59.61 ± 15.3

GEP (59)^b)

1.53 ± 0.48

0.59 ± 0.46

1.42 ± 0.84

0.67 ± 0.51

0.98 ± 0.12

0.97 ± 0.11

0.61 ± 0.47

0.86 ± 0.3

1.34 ± 0.93

2.99 ± 0.71

69.99 ± 16.2

p-value^c)

0.563

0.452

0.016

0.404

0.366

0.026

0.048

0.009

0.001

<0.001

<0.001