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. 2019 Mar 28;8(1):146–156. doi: 10.1556/2006.8.2019.10

Table 5.

LME regression beta coefficients: specific messaging on race bettors’ intended, actual, and excess spend

Betting spend
Intended Actual Actual (excess)
Logistic ($ > 0) Log-normal [ln($)] Logistic ($ > 0) Log-normal [ln($)] Logistic ($ > 0) Log-normal [ln($)]
Fixed effects
Saturday (vs. weekday) −0.209 (0.111) 0.423 (0.042)** 0.954 (0.136)** 0.367 (0.041)** 0.443 (0.149)** 0.277 (0.045)**
Spend intention ($ > 0) 2.534 (0.135)**
Spend intention [ln($)] 0.220 (0.013)**
PG/MR status −0.123 (0.250) 0.556 (0.162)** 0.300 (0.228) 0.513 (0.160)** 0.526 (0.178)** 0.577 (0.140)**
Brands during events 0.431 (0.107)** 0.167 (0.037)** 0.264 (0.125)** 0.132 (0.043)**
Advertisements on betting websites/apps 0.079 (0.086) 0.428 (0.099)** 0.340 (0.115)**
Commentary during events 0.471 (0.109)** 0.160 (0.038)** 0.213 (0.127) 0.194 (0.042)**
Direct messages 0.422 (0.091)** 0.429 (0.098)** 0.352 (0.111)**
Match your stake/deposit 0.223 (0.092)*
Stake-back offer 0.082 (0.086) 0.328 (0.091)** 0.233 (0.031)** 0.169 (0.107)
Constant −0.778 (0.272)** 4.058 (0.110)** −2.419 (0.261)** 3.054 (0.130)** −3.004 (0.272)** 2.649 (0.123)**
Random effects (participant)
Variance (intercept) 3.763 1.374 2.917 1.888 1.131 1.215
No. of observations 3,585 2,567 3,592 2,567 2,756 1,870
No. of participants 316 317 318 307 283 276

Note. Bracketed values indicate standard errors. LME: linear mixed effect; PG: problem gambler; MR: moderate-risk gambler.

*p < .05. **p < .01.