Table 3. Comparing play behavior between the two groups.

Parameter	High (N = 1803)	Low (N = 910)	diff	lowerCI	upperCI	df	t	p	lnBF	g
(1) Session number	64.2 (162.8)	5.6 (12.2)	58.6	51.1	66.2	1842.2	15.2	<.001	54.3	0.618
(2) Round number	5590.3 (13764)	319.5 (833.7)	5270.7	4632.6	5908.8	1828.1	16.2	<.001	61.6	0.659
(3) Mean round number	82.1 (78.3)	51.3 (63.3)	30.8	25.4	36.3	2195.6	11.0	<.001	48.7	0.449
(4) Median round number	60.6 (65.4)	45.9 (60.2)	14.8	9.8	19.7	1963.6	5.8	<.001	12.9	0.238
(5) Mean stake (Euro)	2.2 (3.2)	0.7 (0.9)	1.5	1.3	1.6	2344.2	18.2	<.001	87.0	0.738
(6) Median stake (Euro)	1.9 (3.3)	0.7 (0.9)	1.3	1.1	1.4	2283.0	15.1	<.001	58.8	0.613
(7) Win probability (%)	21.8 (4.8)	18.7 (8.4)	3.1	2.5	3.7	1214.3	10.4	<.001	70.8	0.424
(8) Mean win (Euro)	6.2 (10)	1.8 (2.7)	4.5	4.0	5.0	2262.4	17.5	<.001	74.3	0.734
(9) Median win (Euro)	3 (5)	1 (1.3)	1.9	1.7	2.2	2248.0	15.2	<.001	55.4	0.637
(10) Mean loss (Euro)	2.2 (3.2)	0.7 (0.9)	1.5	1.3	1.6	2345.8	18.2	<.001	86.9	0.738
(11) Median loss (Euro)	1.9 (3.3)	0.7 (0.8)	1.3	1.1	1.4	2222.7	15.3	<.001	59.2	0.620
(12) Total spent (Euro)	520.1 (2687.3)	38.7 (152.5)	481.4	356.9	605.9	1824.9	7.6	<.001	11.3	0.308

Note: Parameter = behavioral indicators compared between the two groups. See the text for an explanation for each parameter. High, Low = means of parameters for the high- and low-involvement groups, with standard deviations in parentheses. diff = difference between the high-involvement group and the low-involvement group. lowerCI, upperCI = lower and upper boundary of 95% confidence intervals of the difference. df, t, p = degrees of freedom, t value and p value from the Welch’s t-tests. P values were corrected for multiple comparisons using the Holm-Bonferroni method. lnBF = the natural logarithm of Bayes factors. g = Hedges’s average g.