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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