Table 5.
B | SE | t | Lower CI | Upper CI | p | |
---|---|---|---|---|---|---|
(Intercept) | 0.79 | 0.32 | 2.46 | 0.16 | 1.41 | .014 |
Online Gambling Frequency | ||||||
Lottery | −0.03 | 0.06 | −0.57 | −0.14 | 0.08 | .567 |
EGM | 0.25 | 0.06 | 4.12 | 0.13 | 0.37 | < .001 |
Sports betting | −0.04 | 0.06 | −0.70 | − 0.16 | 0.07 | .483 |
eSports betting | 0.08 | 0.07 | 1.04 | −0.07 | 0.22 | .300 |
Race wagering | 0.07 | 0.06 | 1.24 | − 0.04 | 0.18 | .217 |
Poker | −0.07 | 0.08 | −0.94 | − 0.23 | 0.08 | .346 |
Casino games | 0.00 | 0.07 | 0.05 | −0.14 | 0.15 | .963 |
Venue Gambling Frequency | ||||||
Lottery | 0.03 | 0.06 | 0.61 | −0.07 | 0.14 | .539 |
EGM | 0.30 | 0.06 | 5.00 | 0.18 | 0.42 | < .001 |
Sports betting | 0.13 | 0.06 | 2.07 | 0.01 | 0.26 | .039 |
eSports betting | −0.03 | 0.08 | −0.35 | −0.19 | 0.13 | .726 |
Race wagering | 0.02 | 0.06 | 0.38 | −0.10 | 0.14 | .703 |
Poker | −0.04 | 0.08 | −0.47 | −0.21 | 0.13 | .638 |
Casino games | 0.16 | 0.08 | 1.96 | −0.00 | 0.31 | .050 |
Age | −0.02 | 0.00 | −4.83 | −0.02 | −0.01 | < .001 |
Gender (ref. Male) | 0.08 | 0.08 | 0.97 | −0.08 | 0.24 | .331 |
Ethnicity (ref. European) | ||||||
Asian | 0.23 | 0.11 | 2.05 | 0.01 | 0.46 | .040 |
Other | 0.09 | 0.16 | 0.52 | −0.25 | 0.40 | .603 |
Indigenous Australian | 0.11 | 0.22 | 0.50 | −0.34 | 0.51 | .619 |
Relationship Status (ref. Not in a romantic relationship) | ||||||
Casually dating (i.e., not exclusive) | −0.00 | 0.17 | −0.01 | −0.34 | 0.32 | .995 |
Exclusively dating | −0.03 | 0.17 | −0.19 | −0.37 | 0.29 | .850 |
Engaged | 0.23 | 0.22 | 1.01 | −0.23 | 0.64 | .311 |
Living together | 0.13 | 0.15 | 0.90 | −0.16 | 0.41 | .368 |
Married or defacto | 0.09 | 0.10 | 0.96 | −0.09 | 0.28 | .335 |
Education (ref. Postgraduate qualification) | ||||||
University or college degree | −0.05 | 0.12 | −0.42 | −0.28 | 0.19 | .672 |
Trade/technical certificate/diploma | 0.01 | 0.14 | 0.06 | −0.26 | 0.28 | .956 |
Year 12 or equivalent | −0.05 | 0.14 | −0.32 | −0.32 | 0.23 | .746 |
Year 10 or less | 0.03 | 0.17 | 0.19 | −0.31 | 0.37 | .849 |
Work Status (ref. Work full-time) | ||||||
Work part-time or casual | 0.14 | 0.11 | 1.33 | −0.07 | 0.34 | .185 |
Full-time student | 0.08 | 0.18 | 0.46 | −0.27 | 0.42 | .647 |
Full-time home duties | 0.07 | 0.16 | 0.41 | −0.26 | 0.38 | .681 |
Unemployed | −0.19 | 0.13 | −1.46 | −0.45 | 0.06 | .146 |
Household Income (ref. Less than $25,000 per year) | ||||||
$25,000–$49,999 | − 0.31 | 0.15 | −2.02 | −0.61 | −0.01 | .043 |
$50,000–$74,999 | −0.31 | 0.16 | −1.90 | −0.62 | 0.01 | .058 |
$75,000–$99,999 | −0.51 | 0.17 | −2.96 | −0.84 | −0.17 | .003 |
$100,000–$124,999 | −0.54 | 0.19 | −2.85 | −0.90 | − 0.17 | .004 |
$125,000–$149,999 | − 0.42 | 0.20 | −2.07 | − 0.81 | − 0.02 | .039 |
> $150,000 | − 0.34 | 0.19 | −1.83 | − 0.70 | 0.02 | .067 |
I prefer not to say | −0.62 | 0.19 | −3.19 | −1.00 | −0.24 | .001 |
Other Language at Home (ref. Yes) | −0.00 | 0.12 | −0.04 | − 0.25 | 0.24 | .968 |
Adj. R2v = .34. Bolding of model parameters indicates that the coefficient was a significant unique predictor. Levels within categorical predictors were collapsed when there were only a small proportion of participants that endorsed an option (e.g., Ethnicity – Other includes Middle Eastern, African, Latin, Central and South American, and Pacific Islander participants). A single participant selected “Other” as their gender and was omitted from the regression