Table 2 Hierarchical binary logistic regression predicting the likelihood that a CHR participant is female using sample (CAPR vs NAPLS-3), age, and recruitment source as predictors (N = 820).
Model | Variables | ||||||||
|---|---|---|---|---|---|---|---|---|---|
Model | Step | df | χ2 | Predictor | Wald | β | SE (β) | Odds ratio | 95% CI for OR |
Univariate models | 1 | 1 | 16.23*** | Sample | 15.52 | 0.80*** | 0.20 | 2.21 | 1.49, 3.28 |
1 | 1 | 0.11 | Age | 0.11 | >−0.01 | 0.02 | 1.00 | 0.96, 1.03 | |
1 | 2 | 20.03*** | Recruitment Source | ||||||
Self, internet | 14.80 | 0.81*** | 0.21 | 2.25 | 1.49, 3.41 | ||||
Self, not internet | 7.20 | 0.59** | 0.22 | 1.81 | 1.17, 2.79 | ||||
Hierarchical model | 1 | 1 | 16.23*** | ||||||
Sample | 15.52*** | 0.80 | 0.20 | 2.22 | 1.49, 3.28 | ||||
2 | 2 | 20.23*** | |||||||
Sample | 19.14*** | 0.96 | 0.22 | 2.60 | 1.70, 4.00 | ||||
Age | 3.96 | -0.04 | 0.02 | 0.97 | 0.93, 1.00 | ||||
3 | 4 | 36.53*** | |||||||
Sample | 9.08** | 0.71 | 0.24 | 2.04 | 1.28, 3.24 | ||||
Age | 10.78** | −0.07 | 0.02 | 0.94 | 0.90, 0.97 | ||||
Self, internet | 9.96** | 0.79 | 0.25 | 2.20 | 1.35, 3.59 | ||||
Self, not internet | 10.14** | 0.76 | 0.24 | 2.14 | 1.34, 3.42 | ||||
4 | 6 | 48.73*** | |||||||
Sample | 0.01 | −0.03 | 0.32 | 0.97 | 0.52, 1.80 | ||||
Age | 14.14*** | −0.08 | 0.02 | 0.93 | 0.89, 0.96 | ||||
Self, internet | 2.80 | 0.46 | 0.28 | 1.59 | 0.92, 2.73 | ||||
Self, not internet | 0.20 | 0.14 | 0.31 | 1.15 | 0.63, 2.11 | ||||
Sample × self-internet | 7.45** | −1.49 | 0.55 | 0.23 | 0.08, 0.66 | ||||
Sample × self not internet | 9.00** | −1.87 | 0.62 | 0.16 | 0.05, 0.52 | ||||