Descriptive statistics for control variables
| Control variable | Case number | Min | Max | M | SD | Kurtosis | Skewness |
|---|---|---|---|---|---|---|---|
| Gender | 159 | 1 | 2 | 1.46 | 0.500 | 0.166 | −1.998 |
| Age | 159 | 2 | 10 | 3.31 | 1.032 | 2.381 | 11.344 |
| Income | 159 | 1 | 7 | 1.67 | 1.146 | 2.167 | 4.893 |
| Education | 159 | 1 | 3 | 1.50 | 0.615 | 0.839 | −0.285 |
| VR experience | 159 | 1 | 6 | 1.94 | 1.048 | 1.566 | 2.776 |
| Control variable | Case number | Min | Max | M | SD | Kurtosis | Skewness |
|---|---|---|---|---|---|---|---|
| Gender | 159 | 1 | 2 | 1.46 | 0.500 | 0.166 | −1.998 |
| Age | 159 | 2 | 10 | 3.31 | 1.032 | 2.381 | 11.344 |
| Income | 159 | 1 | 7 | 1.67 | 1.146 | 2.167 | 4.893 |
| Education | 159 | 1 | 3 | 1.50 | 0.615 | 0.839 | −0.285 |
| VR experience | 159 | 1 | 6 | 1.94 | 1.048 | 1.566 | 2.776 |
Note(s): Min = Minimum value; Max = Maximum value; M = Mean value; SD = Standard deviation. Gender was considered as a binary variable: 1 = male, 2 = female. Age was measured from 1 = less than 15 years old, 2 = 15–19 years old, 3 = 20–24 years old, 4 = 25–29 years old, 5 = 30–34 years old, 6 = 35–39 years old, 7 = 40–44 years old, 8 = 45–49 years old, 9 = 50–54 years old, 10 = 55–59 years old, to 11 = 60 years old or above. Income (pre-tax) was measured from 1 = 0–499 euro, 2 = 500–999 euro to 9 = 4,000 euro or more. Education was measured from 1 = bachelor student, 2 = master student and 3 = PhD student. VR experience was measured from 1 = never used VR, 2 = rarely used VR, 3 = occasionally used VR, 4 = sometimes used VR, 5 = frequently used VR, 6 = usually used VR, to 7 = used VR everyday
Source(s): Author's own creation/work
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