Variable | Facebook n = 217 B (s.e.) p | YouTube n = 198 B (s.e.) p | Twitter n = 168 B (s.e.) p |
---|---|---|---|
Model Statistics | F(11, 205) 8.896 p < .001, AR2 .287 | F(11, 185) 6.370 p < .001, AR2 .232 | F(11, 156) 5.434 p < .001, AR2 .226 |
Model variables | |||
Age | .315 (.103) .003* | −.326 (.110) .004* | .367(.122) .003* |
Gender | −.851 (.405) .037 | −.757 (.444) .090 | −1.091 (.494) .029 |
Education | .174 (.436) .691 | .247 (.488) .613 | −.086 (.531) .871 |
Internet hours/day | .129 (.117) .271 | −.080 (.128) .533 | −.307 (.164) .824 |
Alcohol brand logos on merchandise | .033 (1.227) .979 | 1.723 (1.326) .195 | −.308(3.106) .921 |
Attended alcohol events advertised on SNS | .778 (.407) .057 | 1.163 (.455) .011 | .876 (.498) .080 |
Sharing own alcohol-related content on SNS | 1.201 (.680) .079 | 1.453 (.854) .803 | 3.138 (1.028) .003* |
Suggestions on SNS to like/follow alcohol-related content | −.126 (.229) .581 | .522 (.258) .044 | .191 (.270) .480 |
Perceived increasing trends in alcohol advertising | .313 (.371) .399 | .696 (.528) .189 | .064 (.430) .882 |
Friends sharing alcohol-related information on SNS | −1.343 (.325) < .001* | − 1.451 (.306) < .001* | −.622 (.397) .118 |
Noticing alcohol-related content on SNS | .221 (.278) .428 | .753 (.322) .775 | .098 (.341) .020 |