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Table 3 Logistic regressions predicting migration to gambling status (at T2) among baseline non-gambling participants

From: A longitudinal replication study testing migration from video game loot boxes to gambling in British Columbia, Canada

Microtransaction Expenditure

 

Variables Step 1

B

98.75% CI

SE

Wald

p-val

OR

98.75% OR CI

 Constant

− 2.63

− 5.27, − 0.81

0.86

9.3

.002

 

 DPM spending

0.13

− 0.17, 0.47

0.12

1.2

.277

1.14

0.84, 1.60

 Test of Model Coefficient

χ2 = 4.8

 Cox & Snell/Nagelkerke R2

.023/.044

Variables—Step 2

B

98.75% CI

SE

Wald

p-val

OR

95% OR CI

 Constant

− 2.62

− 5.15, − 0.85

0.83

10.0

.002

 

 DPM spending

-.11

− 0.63, 0.38

0.19

.33

.567

.90

0.53, 1.46

 Loot Box spending

.27

− 0.11, 0.78

0.17

2.4

.118

1.31

0.90, 2.20

 Test of Model Coefficient

χ2 = 6.36

 Cox & Snell/Nagelkerke R2

.074/.138

Risky Loot Box Index

Variables

B

98.75% CI

SE

Wald

p-val

OR

95% OR CI

 Constant

− 1.99

− 3.38, -.1.02

0.45

19.6

.001

 

 RLI Score

.75

− 0.34 2.18

0.48

2.4

.124

2.11

0.89, 6.22

 Test of Model Coefficient

χ2 = 6.36

 Cox & Snell/Nagelkerke R2

.051/.094

  1. Significance level of p ≤.0125 and 98.75% CI are required for the Bonferroni correction applied. Expense variables were log base 2 + 1 transformed to reduce positive skew. RLI scores were standardized
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BMC Psychology

ISSN: 2050-7283

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