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Table 6 Descriptive, bivariate, and logistic regression analyses of attitudes with respect to the statement, “There should be a background check required by law before someone can buy a firearm” among respondents of the Iowa FFA firearm survey

From: Rural youth’s exposure to firearm violence and their attitudes regarding firearm safety measures

There should be a background check required by law before someone can buy a firearm

Strongly Agree

823 (60%)

  

Agree

408 (30%)

  

Neutral

121 (9%)

  

Disagree

18 (1%)

  

Strongly Disagree

11 (1%)

  
 

Cross Tab Analysis

Logistic Regression Analysisa

Variables

Agree n (Row %)b

Neutral/Disagree n (Row %)b

p value

OR

CI

Group N

1231 (89%)

150 (11%)

Sex

  

0.098

  

 Male

612 (88%)

85 (12%)

 

0.84

0.58–1.20

 Female

615 (91%)

64 (9%)

 

1.0 (ref)

 

Age

  

0.73

  

 16–18 years

803 (89%)

100 (11%)

 

1.00

0.69–1.44

 13–15 years

428 (90%)

50 (10%)

 

1.0 (ref)

 

Residence

  

0.54

  

 Farm

642 (88%)

85 (12%)

 

0.77

0.50–1.17

 Country/Not Farm

223 (89%)

27 (11%)

 

0.87

0.51–1.49

 Town

361 (90%)

38 (10%)

 

1.0(ref)

 

Race

  

0.16

  

 Caucasian

1224 (90%)

133 (10%)

 

1.0 (ref)

 

 Non-Caucasian

51 (84%)

10 (16%)

 

0.60

0.28–1.26

Rifle/Shotgun in Home

  

0.68

  

 Yes

1030 (89%)

128 (11%)

 

1.00

0.56–1.80

 No

201 (90%)

22 (10%)

 

1.0 (ref)

 

Handgun in Home

  

0.92

  

 Yes

713 (89%)

88 (11%)

 

1.09

0.74–1.61

 No

518 (89%)

62 (11%)

 

1.0 (ref)

 

Hunted

  

0.034

  

 Yes

663 (88%)

94 (12%)

 

0.70

0.47–1.05

 No

557 (91%)

54 (9%)

 

1.0 (ref)

 

Fired Rifle/Shotgun

  

0.19

 Not used in the analysis

  > 20 times

704 (88%)

98 (12%)

  

 6–20 times

149 (91%)

14 (9%)

  

 1–5 times

189 (91%)

18 (9%)

  

 Never

187 (92%)

17 (8%)

  

Fired a Handgun

  

0.018

 Not used in the analysis

  > 20 times

363 (87%)

52 (13%)

  

 6–20 times

152 (87%)

23 (13%)

  

 1–5 times

242 (95%)

14 (15%)

  

 Never

465 (90%)

54 (10%)

  
  1. a The total number of cases used in the logistic regression model was 1357
  2. b The sum of n for a variable may not equal the total Group N due to missing values