Bivariate Relationship of the Pacing of Drinks (denoted per Hour) and Study Independent Variables.
| Variable . | Mean . | SD . | F/ta . | p . |
|---|---|---|---|---|
| Location | 9.89 | < .001 | ||
| Location 1 | 2.78 | 1.56 | ||
| Location 2 | 3.72 | 2.58 | ||
| Location 3 | 4.80 | 1.47 | ||
| Location 4 | 2.73 | 1.85 | ||
| Age (years) | 1.22 | 0.30 | ||
| 20–39 | 3.36 | 1.56 | ||
| 40–59 | 3.88 | 1.87 | ||
| 60–79 | 3.22 | 2.00 | ||
| Gender | 0.35 | 0.73 | ||
| Female | 3.49 | 2.06 | ||
| Male | 3.62 | 1.67 | ||
| Type of drink | −3.03 | 0.003 | ||
| Beer | 3.00 | 1.72 | ||
| Wine | 4.13 | 1.82 | ||
| Food | −2.23 | 0.03 | ||
| No food | 3.01 | 2.01 | ||
| Any food | 3.89 | 1.67 |
| Variable . | Mean . | SD . | F/ta . | p . |
|---|---|---|---|---|
| Location | 9.89 | < .001 | ||
| Location 1 | 2.78 | 1.56 | ||
| Location 2 | 3.72 | 2.58 | ||
| Location 3 | 4.80 | 1.47 | ||
| Location 4 | 2.73 | 1.85 | ||
| Age (years) | 1.22 | 0.30 | ||
| 20–39 | 3.36 | 1.56 | ||
| 40–59 | 3.88 | 1.87 | ||
| 60–79 | 3.22 | 2.00 | ||
| Gender | 0.35 | 0.73 | ||
| Female | 3.49 | 2.06 | ||
| Male | 3.62 | 1.67 | ||
| Type of drink | −3.03 | 0.003 | ||
| Beer | 3.00 | 1.72 | ||
| Wine | 4.13 | 1.82 | ||
| Food | −2.23 | 0.03 | ||
| No food | 3.01 | 2.01 | ||
| Any food | 3.89 | 1.67 |
aF refers to the F-test statistic conducted using ANOVA for variables with more than two categories, while t refers to t-test statistic conducted looking at the differences in means.
Bivariate Relationship of the Pacing of Drinks (denoted per Hour) and Study Independent Variables.
| Variable . | Mean . | SD . | F/ta . | p . |
|---|---|---|---|---|
| Location | 9.89 | < .001 | ||
| Location 1 | 2.78 | 1.56 | ||
| Location 2 | 3.72 | 2.58 | ||
| Location 3 | 4.80 | 1.47 | ||
| Location 4 | 2.73 | 1.85 | ||
| Age (years) | 1.22 | 0.30 | ||
| 20–39 | 3.36 | 1.56 | ||
| 40–59 | 3.88 | 1.87 | ||
| 60–79 | 3.22 | 2.00 | ||
| Gender | 0.35 | 0.73 | ||
| Female | 3.49 | 2.06 | ||
| Male | 3.62 | 1.67 | ||
| Type of drink | −3.03 | 0.003 | ||
| Beer | 3.00 | 1.72 | ||
| Wine | 4.13 | 1.82 | ||
| Food | −2.23 | 0.03 | ||
| No food | 3.01 | 2.01 | ||
| Any food | 3.89 | 1.67 |
| Variable . | Mean . | SD . | F/ta . | p . |
|---|---|---|---|---|
| Location | 9.89 | < .001 | ||
| Location 1 | 2.78 | 1.56 | ||
| Location 2 | 3.72 | 2.58 | ||
| Location 3 | 4.80 | 1.47 | ||
| Location 4 | 2.73 | 1.85 | ||
| Age (years) | 1.22 | 0.30 | ||
| 20–39 | 3.36 | 1.56 | ||
| 40–59 | 3.88 | 1.87 | ||
| 60–79 | 3.22 | 2.00 | ||
| Gender | 0.35 | 0.73 | ||
| Female | 3.49 | 2.06 | ||
| Male | 3.62 | 1.67 | ||
| Type of drink | −3.03 | 0.003 | ||
| Beer | 3.00 | 1.72 | ||
| Wine | 4.13 | 1.82 | ||
| Food | −2.23 | 0.03 | ||
| No food | 3.01 | 2.01 | ||
| Any food | 3.89 | 1.67 |
aF refers to the F-test statistic conducted using ANOVA for variables with more than two categories, while t refers to t-test statistic conducted looking at the differences in means.
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