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Table 2 Response rates overall and by design characteristics, by gender, race, and age

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

 

2 × 2 Factorial Design

 

Overall

Pages

Notification

  

2

4

Letter

Postcard

Overall

363 (46.5)

169 (44.6)

194 (48.4)

179 (46.3)

184 (46.8)

Gender

     

   Female

212 (54.1)

105 (54.4)

107 (53.8)

108 (54.8)

104 (53.3)

   Male

151 (38.9)

64 (34.4)

87 (43.1)

71 (37.4)

80 (40.4)

   P value†

< 0.0001

0.007

0.03

0.0006

0.01

Race

     

   White

306 (52.6)

147 (50.5)

159 (54.6)

151 (52.6)

155 (52.5)

   Non-white *

14 (24.14)

6 (22.2)

8 (25.8)

5 (15.6)

9 (34.6)

   Unknown/Other

43 (30.7)

16 (26.2)

27 (34.2)

23 (33.8)

20 (27.8)

   P value†

< 0.0001

< 0.0001

0.0002

< 0.0001

0.0003

Age

     

   25 - 29

35 (30.7)

12 (21.8)

23 (39.0)

12 (25.0)

23 (34.8)

   30 - 39

81 (40.7)

32 (32.3)

49 (49.0)

42 (41.2)

39 (40.2)

   40 - 49

107 (50.7)

51 (52.0)

56 (49.6)

57 (51.8)

50 (49.5)

   50 - 59

103 (55.1)

56 (59.0)

47 (51.1)

50 (54.4)

53 (55.8)

   60 - 65

37 (53.6)

18 (56.2)

19 (51.4)

18 (51.4)

19 (55.9)

   P value†

0.0002

< 0.0001

0.63

0.008

0.04

  1. †P-values comparing response rates within condition from chi-square test or Fisher's exact test where appropriate.
  2. Note: In the factorial design, response rates did not differ significantly by survey length (p = 0.29) or by notification type (p = 0.87). Combining pages and notification into 4 separate groups, the p-value for the difference in response rate was 0.56 (results not shown).
  3. * "Non-white" includes: American Indian/Alaskan Native, Black or African American, Native Hawaiian/Pacific Islander, and Asian.