Table 1 A matrix showing the OR of heavy play between each week preregulation and postregulation using dataset 1

From: No evidence that Chinese playtime mandates reduced heavy gaming in one segment of the video games industry

 

0

1

2

3

4

5

6

7

8

9

10

−1

0.96

0.94

0.95

0.91

0.99

0.95

1.03

1.01

1.15

1.22

1.56

−2

0.89

0.88

0.88

0.84

0.92

0.89

0.96

0.94

1.07

1.13

1.46

−3

1.03

1.01

1.02

0.97

1.06

1.02

1.10

1.09

1.24

1.31

1.68

−4

0.78

0.77

0.77

0.74

0.80

0.77

0.84

0.82

0.94

0.99

1.27

−5

0.71

0.70

0.70

0.67

0.73

0.71

0.76

0.75

0.86

0.90

1.16

−6

1.00

0.99

0.99

0.95

1.03

1.00

1.08

1.06

1.21

1.27

1.64

−7

0.77

0.75

0.76

0.72

0.79

0.76

0.82

0.81

0.92

0.97

1.25

−8

0.79

0.78

0.78

0.75

0.82

0.79

0.85

0.84

0.96

1.01

1.29

−9

0.76

0.74

0.75

0.72

0.78

0.75

0.81

0.80

0.91

0.96

1.23

−10

0.68

0.67

0.67

0.64

0.70

0.67

0.73

0.71

0.81

0.86

1.10

−11

0.65

0.64

0.64

0.61

0.67

0.64

0.69

0.68

0.78

0.82

1.05

  1. Each column represents a different week postregulation; each row a different week preregulation. For example, the cell located at (−1,0) compares the odds of heavy play 0 weeks postregulation (that is the week spanning 1–6 November 2019) against the odds of heavy play 1 week preregulation (that is the week spanning 25–31 October 2019): its value (0.96) represents a situation in which individuals are 0.96 times as likely to engage in heavy play in week 0 when compared with week −1. All comparisons are significant at the P < 0.001 level using Fisher’s exact test (two-sided).
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