Table 3.
Categorical Models of the Accuracy and Bias in Estimates of Peer Substance Use: Add-Health Data, N = 2194
Effect | Contrast | Tobacco Use | Alcohol Use | Marijuana Use | ||||||
---|---|---|---|---|---|---|---|---|---|---|
| ||||||||||
Estimate | SE | χ2 | Estimate | SE | χ2 | Estimate | SE | χ2 | ||
Intercept | a vs. d | −0.65 | 0.13 | 23.21** | −1.48 | 0.13 | 125.57** | 0.24 | 0.18 | 1.80 |
b vs. d | −0.49 | 0.12 | 17.64** | −0.03 | 0.08 | 0.18 | −0.43 | 0.18 | 5.78* | |
c vs. d | −1.21 | 0.13 | 85.30** | −2.08 | 0.15 | 190.79** | −0.33 | 0.17 | 3.79 | |
Use (No) | a vs. d | 1.77 | 0.13 | 174.41** | 1.53 | 0.13 | 135.45** | 0.00 | 0.06 | 0.00 |
b vs. d | 1.18 | 0.12 | 102.20** | 0.96 | 0.08 | 158.48** | 0.04 | 0.07 | 0.42 | |
c vs. d | 0.56 | 0.13 | 18.08** | 0.30 | 0.15 | 3.94* | 0.08 | 0.08 | 1.02 | |
Gender (female) | a vs. d | −0.12 | 0.06 | 3.96* | 0.77 | 0.13 | 34.49** | 1.70 | 0.13 | 165.08** |
b vs. d | −0.02 | 0.06 | 0.13 | 0.47 | 0.08 | 38.06** | 1.34 | 0.12 | 121.58** | |
c vs. d | −0.02 | 0.08 | 0.05 | 0.24 | 0.15 | 2.49 | 0.26 | 0.09 | 8.73** | |
Age (12–14) | a vs. d | 0.58 | 0.13 | 18.83** | −0.09 | 0.13 | 0.47 | 1.07 | 0.13 | 65.26** |
b vs. d | 0.25 | 0.12 | 4.61* | 0.06 | 0.08 | 0.58 | 0.49 | 0.14 | 11.34** | |
c vs. d | 0.20 | 0.13 | 2.29 | −0.01 | 0.15 | 0.01 | 0.53 | 0.16 | 10.42** | |
Use by age | a vs. d | 0.14 | 0.13 | 1.17 | −0.07 | 0.08 | 0.72 | - a | - a | - a |
b vs. d | 0.25 | 0.12 | 4.46* | −0.11 | 0.05 | 4.04* | - a | - a | - a | |
c vs. d | 0.22 | 0.13 | 2.88 | 0.01 | 0.10 | 0.01 | - a | - a | - a |
Note:
p < .05.
p < .01.
Contrasts: a vs. d = Correct rejection vs. hit; b vs. d = miss vs. hit; c vs d = false alarm vs. hit
Effect not estimable due to sparse data.