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Table 1 Demographic characteristics of study samples

From: A new adaptive testing algorithm for shortening health literacy assessments

  Keselman Ancker
Characteristic (n = 52) Online
(n = 100)
Clinic
(n = 65)
Age bracket, n (%)    
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 (%)    
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 (%)    
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
  1. aMissing S-TOFHLA scores for 8 clinic respondents because of interruptions during the test administration