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Table 1 Demographic information by age group

From: Empirical analysis of weapons of influence, life domains, and demographic-targeting in modern spam: an age-comparative perspective

  Young users (n = 35) Older users (n = 32) Age differences
M (SD)/% M (SD)/%
Age (years)—(young n = 34, older n = 29)
  21.82 (5.14) 69.52 (6.82) \(t(61)= 4.38\), \(p=.001\)
Gender
 Male 41.2.8 48.3 \(\tilde{\chi }^2(1) = 32\), \(p < .57\)
 Female 58.8 51.7
Years of education (young n = 34, older n = 29)
  14.07 (3.89) 16.07 (2.87) \(t(61) = 0.84\), \(p = .03\)
Highest degree earned (young n = 29, older n = 19)
 High school 65.5 31.6 \(\tilde{\chi }^2(4) = 6.28\), \(p < .18\)
 Associates 6.9 10.5
 Bachelor’s 17.2 36.8
 Master’s 10.3 15.8
 Doctorate 0.0 0.0
 PhD 0.0 5.3
Annual income (young n = 32, older n = 28)
 < $40,000 87.5 57.1 \(\tilde{\chi }^2(2) = 7.04\), \(p<.03\)
 $40,000–$70,000 6.3 21.4
 > $70,000   
Race/ethnicity (young n = 32, older n = 28)
 American Indian or Alaskan Native 0.0 0.0 \(\tilde{\chi }^2(4) = 20.76\), \(p<.001\)
 Asian 21.9 0.0
 Black/African American 6.3 0.0
 Native Hawaiian 0.0 0.0
 Hispanic 18.8 0.0
 White 46.9 100
 Other 6.3 0.0
Marital status (young n = 32, older n = 28)
 Single 56.3 14.3 \(\tilde{\chi }^2(4) = 43.08\), \(p<.001\)
 In a relationship, but not married 40.6 0.0
 Married 3.1 53.6
 Divorced/separated 0.0 25
 Widowed 0.0 7.1
Preferred internet browser (young n = 32, older n = 28)
 Internet explorer 9.4 25 \(\tilde{\chi }^2(4) = 9.12\), \(p<.06\)
 Google chrome 68.8 42.9
 Safari 12.5 3.6
 Mozilla firefox 9.4 21.4
 Other 0.0 7.1
  1. Sample size varied across demographic variables as some data were missing/not reported for some participants
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