Facebook n = 246 B (s.e.) p | YouTube n = 151 B (s.e.) p | Twitter n = 65 B (s.e.) p | |
---|---|---|---|
Model Statistics | F(9, 237) 7.205 p < .001, AR2 .185 | F(9, 143) 3.597 p < .001, AR2 .133 | F(7, 63) 7.731 p < .001, AR2 .402 |
Model variables | |||
Age | −.096 (.097) .328 | −.200 (.137) .146 | −.128 (.180) .478 |
Gender | −1.76 (.387) <.001* | −1.821 (.478) < .001* | −2.957 (.672) < .001* |
Education | .769 (.374) .041 | 1.220 (.512) .019 | 1.173 (.677) .092 |
Alcohol brand logos on merchandise | −.308 (.376) .919 | .312 (.486) .522 | .439 (.686) .824 |
Attended alcohol events advertised on SNS | .482 (.370) .194 | .110 (.466) .814 | −.237 (.677) .728 |
Sharing own alcohol-related content on SNS | 2.448 (.573) < .001* | 1.453 (.854) .091 | 4.484 (1.320) .001* |
Suggestions on SNS to like/follow alcohol-related content | −.297 (.147) .044 | −.356 (.206) .086 | – |
Perceived increasing trends in alcohol advertising | – | −.133 (.388) .732 | −.808 (.437) .069 |
Friends sharing alcohol-related information on SNS | −.263 (.207) .205 | −.231 (.265) .384 | – |
Noticing alcohol-related content on SNS | −.032 (.192) .869 | – | – |