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. 2017 Aug 25;6(3):416–424. doi: 10.1556/2006.6.2017.056

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.