Table 2.
College Student Samples | ||||||
---|---|---|---|---|---|---|
Use Indicator | rw (95% CI) | k | N | Q | p | I2 |
Past 30-Day Frequency of Alcohol Use | .397 (.364, .428) | 24 | 11083 | 80.90 | <.001 | 71.57 |
Past 30-Day Frequency of Getting Drunk | .474 (.448, .499) | 19 | 6627 | 30.74 | .031 | 41.45 |
Typical Frequency | .393 (.345, .439) | 17 | 10223 | 119.83 | <.001 | 86.65 |
Typical Quantity | .444 (.422, .465) | 31 | 11852 | 61.43 | .001 | 51.17 |
Heaviest Quantity | .421 (.389, .452) | 22 | 8074 | 59.52 | <.001 | 64.72 |
Peak Quantity | .412 (.384, .439) | 26 | 11880 | 73.12 | <.001 | 65.81 |
Binge Drinking Frequency | .466 (.442, .488) | 25 | 8665 | 43.50 | .009 | 44.83 |
Clinical Samples | ||||||
Use Indicator | rw (95% CI) | k | N | Q | p | I2 |
Percent Days Drinking (PDD) | .158 (.045, .266) | 9 | 4527 | 91.39 | <.001 | 91.25 |
Percent Heavy Drinking Days (PHDD) | .266 (.188, .347) | 8 | 4411 | 41.77 | <.001 | 83.24 |
Average Drinks per Drinking Day (DDD) | .368 (.342, .393) | 9 | 4527 | 5.75 | .675 | .00 |
Note. rw = weighted correlation coefficient based on random-effect model, k = number of studies used to compute effect sizes, Q = Cochrane’s Q statistic, which is distributed as a chi-square, and determines whether there is significant heterogeneity in the effect sizes across studies. p = p-value for the Q statistic, I2 = determines the percent of variability in effect sizes due to heterogeneity.