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. 2023 Aug 18;25:e41805. doi: 10.2196/41805

Table 3.

Demographic characteristics per scenario after matching participants.


Number of participants per scenario, n (%) Total number of participants in all scenarios (n=493), n (%) P value for χ2 test

Cryptocurrency (n=163) Money (n=159) Recognition (n=171)

Gender .30

Man 92 (32.7) 98 (34.9) 91 (32.4) 281 (100)

Woman 71 (33.5) 61 (28.8) 80 (37.7) 212 (100)
Age group (years) .43

<20 0 (0) 0 (0) 1 (100) 1 (100)

20-29 41 (30.1) 43 (31.6) 52 (38.2) 136 (100)

30-39 63 (36.8) 57 (33.3) 51 (29.8) 171 (100)

40-49 34 (30.4) 33 (29.5) 45 (40.2) 112 (100)

50-59 18 (37.5) 19 (39.6) 11 (22.9) 48 (100)

≥60 7 (28) 7 (28) 11 (44) 25 (100)
Income (US $) .75

<25,000 19 (35.2) 18 (33.3) 17 (31.5) 54 (100)

25,000-49,999 51 (34.2) 45 (30.2) 53 (35.6) 149 (100)

50,000-74,999 40 (29.2) 47 (34.3) 50 (36.5) 137 (100)

75,000-99,999 28 (29.8) 32 (34) 34 (36.2) 94 (100)

100,000-150,000 22 (44.9) 12 (24.5) 15 (30.6) 49 (100)

>150,000 3 (30) 5 (50) 2 (20) 10 (100)
Education .14

Less than high school 1 (33.3) 1 (33.3) 1 (33.3) 3 (100)

High school graduate 10 (30.3) 10 (30.3) 13 (39.4) 33 (100)

Some college 21 (43.8) 8 (16.7) 19 (39.6) 48 (100)

2-Year degree 11 (42.3) 11 (42.3) 4 (15.4) 26 (100)

Bachelor’s degree 93 (32.6) 88 (30.9) 104 (36.5) 285 (100)

Master’s degree 27 (27.6) 41 (41.8) 30 (30.6) 98 (100)
Employment .08

Employed full time 132 (31.1) 147 (34.6) 146 (34.4) 425 (100)

Employed part time 18 (40) 10 (22.2) 17 (37.8) 45 (100)

Unemployed 10 (55.6) 2 (11.1) 6 (33.3) 18 (100)

Retired 3 (60) 0 (0) 2 (40) 5 (100)
Race .72

African American or Black 14 (42.4) 9 (27.3) 10 (30.3) 33 (100)

Asian 14 (40) 8 (22.9) 13 (37.1) 35 (100)

Hispanic 7 (30.4) 7 (30.4) 9 (39.1) 23 (100)

White 128 (31.6) 138 (34.1) 139 (34.3) 405 (100)