Table 3.
Parametric (Pearson’s) correlations between, and mean and standard deviations for, self-stigma and independent variables considered for the regression model (N = 177)
Variables | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) |
---|---|---|---|---|---|---|---|---|---|
Self-stigma (DV) (1) | 1 | ||||||||
Gender (2) | 0.31* | 1 | |||||||
Age (3) | 0.18* | 0.36* | 1 | ||||||
Kessler 6 (4) | 0.44* | 0.10 | 0.07 | 1 | |||||
Self-esteem (5) | −0.47* | −0.09 | 0.05 | −0.64* | 1 | ||||
PGSI score (6) | 0.40* | 0.12 | −0.10 | 0.44* | −0.38* | 1 | |||
EGM versus other (7) | 0.20* | 0.36* | 0.21* | −0.06 | −0.06 | 0.13 | 1 | ||
Race betting versus other (8) | −0.21* | −0.29* | −0.09 | −0.05 | 0.06 | −0.04 | −0.46* | 1 | |
Secrecy (9) | 0.32* | 0.12 | 0.08 | 0.13 | −0.24* | 0.23* | 0.15 | −0.06 | 1 |
Mean | 1.08 | 0.33 | 40.33 | 12.38 | −0.28 | 17.04 | 0.56 | 0.14 | 3.29 |
Standard deviation | 0.62 | 0.47 | 13.79 | 5.36 | 0.69 | 5.43 | 0.50 | 0.35 | 0.85 |
Note. Self-esteem and Kessler 6 are highly correlated with each other (r = −.64), causing multicollinearity issues for a multivariate model. Since self-esteem is more strongly correlated with self-stigma, Kessler 6 was removed from consideration for the linear regression. PGSI: Problem Gambling Severity Index; EGM: electronic gaming machine.
p ≤ .05.