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. 2021 Apr 9;23(4):e25312. doi: 10.2196/25312

Table 2.

Descriptive statistics.

Cluster and projection First round (n=35) Second round (n=27) Difference

X0.25a X0.5b X0.75c IQR X0.25 X0.5 X0.75 IQR X0.25 X0.5 X0.75 IQR
Cluster 1: Technology

1 2 3 3 1 2 3 3 1 0 0 0 0

2 2 3 4 2 2 3 3 1 0 0 -1 -1

3 2 3 3 1 2 2 3 1 0 -1 0 0

4 1 2 3 2 1 2 2 1 0 0 -1 -1
Cluster 2: Consumer acceptance

5 2 3 3 1 2 2 3 0 -1 0 0 0

6 3 3 4 1 3 3 4 1 0 0 0 0

7 2 3 4 2 2 3 3 1 0 0 -1 -1

8 2 3 4 2 2 3 4 2 0 0 0 0

9 2 2 3 1 1 2 3 2 -1 0 0 1

10 2 3 4 2 3 3 4 1 1 0 0 -1
Cluster 3: Potential use cases

11 2 3 3 1 2 3 3 1 0 0 0 0

12 2 2 3 1 2 2 3 1 0 0 0 0

13 2 3 4 2 2 3 3 1 0 0 -1 -1

14 2 3 3 1 2 3 3 1 0 0 0 0

15 2 3 3 1 2 3 3 1 0 0 0 0
Cluster 4: Privacy and data protection regulations

16 2 3 4 2 3 3 3 0 1 0 -1 -2

17 2 2 3 1 2 2 2 0 0 0 -1 -1

18 1 2 3 2 1 1 2 1 0 -1 -1 -1

19 2 3 3 1 2 3 3 1 0 0 0 0

20 2 2 3 1 2 2 3 1 0 0 0 0

aX0.25: lower quartile.

bX0.5: median quartile.

cX0.75: upper quartile.