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Table 9 χ2 test between attitude and personal information variables (n = 1320)

From: RETRACTED ARTICLE: Identify and measure the degree of over-prevention behaviors in the post-COVID-19 era in China

 

F1

F2

F3

F4

Agree

Disagree

Agree

Disagree

Agree

Disagree

Agree

Disagree

Gender

 Male

384

317

373

328

361

340

334

367

 Female

289

330

304

315

305

314

310

309

 χ2

8.611b

 

2.210

 

0.651

 

0.780

 

Age

 0–17 years

11

8

10

9

6

13

7

12

 18–29 years

178

244

253

169

241

181

204

218

 30–39 years

306

271

279

298

275

302

281

296

 40–49 years

140

95

110

125

112

123

116

119

 50–59 years

32

27

21

38

30

29

31

28

 60 years and above

6

2

4

4

2

6

5

3

 χ2

23.457c

22.394c

14.797a

2.087

 

Area of China

 Northeast

104

87

86

105

89

102

85

106

 North

103

101

100

104

91

113

102

102

 East

113

102

122

93

117

98

115

100

 Central

78

101

100

79

82

97

86

93

 South

78

92

83

87

98

72

73

97

 Southwest

92

84

88

88

93

83

94

82

 Northwest

105

80

98

87

96

89

89

96

 χ2

9.437

 

8.222

 

10.895

 

7.329

 

Employment

 Student

111

181

189

103

155

137

138

154

 In an enterprise

214

183

209

188

197

200

197

200

 In an institution

27

23

29

21

27

23

28

22

 In a governmental agency

140

96

96

140

112

124

112

124

 Self-employed

104

93

89

108

108

89

87

110

 Others

77

71

65

83

67

81

82

66

 χ2

28.081c

39.095c

5.111

 

5.872

 

Education Degree

 Primary and lower

2

3

1

4

3

2

3

2

 Junior high school

63

59

42

80

62

60

60

62

 Senior high school

129

106

106

129

117

118

124

111

 College degree

432

444

467

409

447

429

414

462

 Postgraduate degree and higher

47

35

61

21

37

45

43

39

 χ2

3.992

 

38.389c

1.278

 

3.003

 
  1. aP < 0.05, bP < 0.01, and cP < 0.001. These figures are the number of cases in groups with different characteristics, followed by the Pearson χ2 test in the last row