Table 1 Demographic characteristics of study samples
From: A new adaptive testing algorithm for shortening health literacy assessments
| Â | Keselman | Ancker | |
|---|---|---|---|
Characteristic | (n = 52) | Online (n = 100) | Clinic (n = 65) |
Age bracket, n (%) | Â | Â | Â |
18-25 | 5 (9.6) | 33 (33.0) | 26 (40.0) |
26-39 | 13 (25.0) | 40 (40.0) | 26 (40.0) |
40-59 | 25 (48.1) | 26 (26.0) | 11 (16.9) |
≥ 60 | 9 (17.3) | 1 (1.0) | 2 (0.03) |
Number (%) women | 36 (69.2) | 64 (64.0) | 41 (63.1) |
Educational level, n (%) | Â | Â | Â |
no bachelor's degree | 11 (21.0) | 19 (19.0) | 28 (45.0) |
some college | 20 (38.5) | 37 (37.0) | 23 (35.4) |
bachelor's or graduate degree | 21 (40.4) | 44 (44.0) | 14 (21.5) |
Self-identity, n (%) | Â | Â | Â |
African - American | 13(25.0) | 10 (10.0) | 10 (15.4) |
Asian | 0 | 20 (20.0) | 0 |
White | 25 (48.1) | 60 (60.0) | 6 (9.2) |
Hispanic | 8 (15.4) | 2 (2.0) | 43 (66.2) |
Other | 6 (11.5) | 3 (3.0) | 3 (4.5) |
Mixed race/ethnicity | 0 | 5 (5.0) | 3 (4.5) |
Poor health literary (by S-TOFHLA), n (%) | 0 | 1(1.0) | 1(1.8)a |