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Table 1 Age, gender, and race distribution of sample population

From: Shortening a survey and using alternative forms of prenotification: Impact on response rate and quality

  2 × 2 Factorial Design
  Overall 2 page/Letter 2 page/Postcard 4 page/Letter 4 page/Postcard
Overall (N) 780 188 191 199 202
Gender      
   Female 392 (50.3) 96 (51.1) 97 (50.8) 101 (50.8) 98 (48.5)
   Male 388 (49.7) 92 (48.9) 94 (49.2) 98 (49.2) 104 (51.5)
Age      
   25 - 29 114 (14.6) 24 (12.8) 31 (16.2) 24 (12.1) 35 (17.3)
   30 - 39 199 (25.5) 50 (26.6) 49 (25.6) 52 (26.1) 48 (23.8)
   40 - 49 211 (27.1) 49 (26.1) 49 (25.6) 61 (30.6) 52 (25.7)
   50 - 59 187 (24.0) 47 (25.0) 48 (25.1) 45 (22.6) 47 (23.3)
   60 - 65 69 (8.8) 18 (9.6) 14 (7.3) 17 (8.5) 20 (9.9)
   Mean (SD) 43.8 (11.2) 44.3 (11.3) 43.3 (11.1) 43.9 (10.9) 43.8 (11.6)
Race      
   White 582 (74.6) 140 (74.5) 151 (79.1) 147 (73.9) 144 (71.3)
   Non-white * 58 (7.4) 17 (9.0) 10 (5.2) 15 (7.5) 16 (7.9)
   Unknown/Other 140 (18.0) 31 (16.5) 30 (15.7) 37 (18.6) 42 (20.8)
  1. Note: In the factorial design, the distributions of gender, age, and race were not statistically significantly different between survey lengths or notification types.
  2. * "Non-white" includes: American Indian/Alaskan Native, Black or African American, Native Hawaiian/Pacific Islander, and Asian.