Table 4 The frequency table and descriptive statistics of total SUS score for users’ attributes

Academic title

MSc. Student

16 (44.4 %)

88.28 ± 11.09 (70–100)

0.766^a

MSc.

2 (5.6 %)

90 ± 0 (90–90)

PhD. Student

2 (5.6 %)

90 ± 0 (90–90)

PhD

11 (30.6 %)

87.95 ± 9.34 (72.5–97.5)

MD

5 (13.9 %)

81.50 ± 11.94 (70–100)

Gender

Female

22 (61.1 %)

86.82 ± 11.11 (70–100)

0.961^b

Male

14 (38.9 %)

88.39 ± 8.29 (70–97.5)

Age

Mean ± SD (Min–Max)

33.47 ± 9.83 (23–58)

–

–

Level of computer use skills

Expert

7 (19.4 %)

90.71 ± 10.10 (75–100)

0.530^a

Advanced

26 (72.2 %)

87.02 ± 10.61 (70–100)

Average

3 (8.3 %)

83.33 ± 8.29 (70–97.5)

Elementary

–

–

Beginner

–

–

Level of english proficiency

Proficient

6 (16.7 %)

95.71 ± 3.16 (92.5–100)

0.110^a

Advanced

22 (61.1 %)

85.45 ± 10.11 (72.5–100)

Intermediate

8 (22.2 %)

87.19 ± 11.26 (70–97.5)

Elementary

–

–

Beginner

–

–

Level of statistics knowledge

Expert

3 (8.3 %)

90.83 ± 1.44 (90–92.5)

0.077^a

Advanced

11 (30.6 %)

92.50 ± 8.94 (75–100)

Average

16 (44.4 %)

82.81 ± 10.64 (70–100)

Elementary

6 (16.7 %)

88.75 ± 8.18 (72.5–95)

Beginner

–

–

Using a statistical software package

Yes

28 (77.8 %)

87.41 ± 10.01 (70–100)

0.924^b

No

8 (22.2 %)

87.5 ± 10.69 (70–100)