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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.