Table 4 Part 2 OLS linear regression:...

Table 4

Part 2 OLS linear regression: Standardized coefficients

Predictor	CLB β	CLB p	GALB β	GALB p	OGLC β	OGLC p
F2P frequency	−0.096	0.223	0.008	0.927	−0.039	0.675
F2P non-random expenditure	0.199	0.013	0.325	<0.001	0.277	0.010
P2P frequency	−0.016	0.865	0.026	0.776	−0.062	0.601
P2P access expenditure	0.152	0.109	0.123	0.207	0.145	0.252
BP expenditure	0.304	<0.001	0.237	0.003	−0.040	0.681
IGD score	0.011	0.884	0.062	0.465	0.082	0.392
PGSI score	0.050	0.511	0.077	0.358	−0.004	0.964

Predictor	CLB β	CLB p	GALB β	GALB p	OGLC β	OGLC p
F2P frequency	−0.096	0.223	0.008	0.927	−0.039	0.675
F2P non-random expenditure	0.199	0.013	0.325	<0.001	0.277	0.010
P2P frequency	−0.016	0.865	0.026	0.776	−0.062	0.601
P2P access expenditure	0.152	0.109	0.123	0.207	0.145	0.252
BP expenditure	0.304	<0.001	0.237	0.003	−0.040	0.681
IGD score	0.011	0.884	0.062	0.465	0.082	0.392
PGSI score	0.050	0.511	0.077	0.358	−0.004	0.964

Note(s): Significant predictors (p ≤ 0.05) in italic. All expenditure predictors log(x+1)-transformed prior to analysis. CLB = cosmetic loot boxes; GALB = game-affecting loot boxes; OGLC = other gambling-like content

Source(s): Authors’ own work

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